Hello!

I'm Abhiram Gelle

Software Engineer

LinkedIn

Name: Abhiram Gelle

Job Role: Software Engineer

Experience: 3 Years

Address: Atlanta, Georgia

Skills

Java
React, Javascript
Spring, Flask, FastAPI
Ansible, Docker, Kubernetes
Databases: SQL, Redis, MongoDB, Solr
Android Development, Cordova
Web Development

About

About Me

I'm Abhiram, a software engineer who's spent the last 3+ years building real-world applications that actually matter. What started as curiosity about how websites work during my undergraduate years at BML Munjal University has evolved into a career where I get to solve complex problems every day.

My journey kicked off at Hughes Systique where I cut my teeth on DevOps automation, learning the ropes of CI/CD pipelines and infrastructure management. That foundation proved invaluable when I joined MedPlus, where I spent over 2 years building applications that served 50,000+ users. There, I didn't just write code – I built reusable DataGrid components that are still being used across multiple internal applications, upgraded legacy systems to React 18, and optimized database queries that reduced report generation time by 60%. These weren't just technical achievements; they directly impacted how healthcare professionals access and manage critical information.

Last summer, I took on a Java internship at Global Payments, where I developed REST services for fraud detection systems. Achieving 90% test coverage wasn't just a metric – it was about ensuring financial transactions are secure for millions of users. Now, as I pursue my Master's at Georgia State University, I'm combining academic learning with hands-on experience, working on projects that push the boundaries of what's possible with AI and machine learning.

What drives me isn't just the technology – it's the impact. Whether it's helping students find the right university with my AI-powered FlyEasy platform (which got published at ICCCN 2022), or building food delivery systems that eliminate unnecessary fees (earning the Wadhwani StartMeUp Award), I'm passionate about creating solutions that solve real problems. My toolkit spans from React and Angular on the frontend to Spring Boot and FastAPI on the backend, with extensive experience in databases, DevOps, and mobile development. But more than the tech stack, I bring a mindset of continuous learning, collaborative problem-solving, and a commitment to delivering solutions that work in the real world.

Resume

Resume

Results shown Full Stack Developer and Software Engineer with over 4 years of professional experience in building scalable applications, automating workflows, and ensuring high-performance systems in production environments. Currently pursuing Master's in Computer Science at Georgia State University with proven track record of delivering enterprise-grade solutions across fintech, healthcare, and academic sectors.

Download Resume

Experience


Jun'2024 - Aug'2024

Java Full Stack Developer Intern

Global Payments Inc

TECHNOLOGY STACK

Java 11 • Spring Boot • REST APIs • SonarQube • JUnit • Mockito • Maven • Git • Jenkins CI/CD

  • REST API Development: Designed and implemented a high-performance Java REST service for calculating geographical distances between postal codes, integrating it seamlessly with the existing Magnon API infrastructure to accelerate fraud detection processes by 40%.
  • Quality Assurance: Maintained exceptional code quality standards using SonarQube static analysis tools, achieving over 90% test coverage across all modules and creating comprehensive API documentation that streamlined QA and operations team workflows.
  • Test Automation: Developed comprehensive automated test suites for five critical fraud detection modules (AFC, PFC, AFL, TFL, AMEFL), reducing manual testing time by 50% and improving system reliability through continuous integration practices.

Dec'2024 - Present

Full Stack Developer

Georgia State University

TECHNOLOGY STACK

Python, FastAPI, React.js, AG-Grid, Tailwind CSS, REST APIs, AJAX, Swagger/OpenAPI, PostgreSQL, Git, GitHub Actions, IDP (Identity Provider), SSO (Single Sign-On)

  • Full-Stack Application Development: Architected and developed the OGMS (Office of Graduate Studies Management System) application using Python FastAPI backend and React frontend, implementing robust RESTful APIs with comprehensive AJAX request handling for real-time data synchronization, improving overall data processing efficiency by 60%.
  • Advanced Data Visualization: Integrated AG-Grid enterprise-grade data grid component for complex data management and visualization, combined with Tailwind CSS for responsive and modern UI design, resulting in a 45% improvement in user experience and interface usability.
  • API Documentation & Integration: Designed comprehensive backend API endpoints with detailed Swagger/OpenAPI documentation, ensuring seamless communication between frontend and backend systems, which reduced integration time by 30% and improved developer productivity.
  • Identity Management & Security: Implemented enterprise-grade Identity Provider (IDP) integration with Single Sign-On (SSO) capabilities, enabling secure authentication and authorization across multiple university systems, reducing login friction by 70% and enhancing security compliance for student and faculty access management.

June'2022 - Aug'2024

Software Engineer

Optival Health Solutions Pvt Ltd - MedPlus

TECHNOLOGY STACK

Java • Spring Boot • React.js • Angular • Node.js • MySQL • MongoDB • Redis • Apache Solr • Apache Cordova • Webpack • Vite • REST APIs • Docker • Jenkins • Git

  • Full-Stack Development: Led development of enterprise-scale full-stack applications using React, Spring Boot, and REST APIs, ensuring seamless frontend-backend integration that improved application performance by 35% and enhanced user experience across MedPlus platforms serving 50,000+ users.
  • Reusable Component Architecture: Designed and implemented a comprehensive DataGrid component library with advanced features including multi-column filtering, pagination, sorting, and export functionality, which increased data management efficiency by 50% across all internal MedPlus applications.
  • Progressive Web App Optimization: Successfully upgraded legacy Progressive Web App to React 18, integrating cutting-edge features including server-side rendering (SSR), streaming capabilities, and Suspense APIs, resulting in 40% faster loading times and 25% improvement in user engagement metrics.
  • Real-Time Reporting System: Engineered a comprehensive MySQL-based reporting tool with RESTful APIs and real-time data access capabilities, enabling faster decision-making processes and reducing report generation time by 60% for management and analytics teams.
  • Session Management & Caching: Architected and implemented robust APIs for cross-platform user session management using Redis for caching and MongoDB for persistence, improving session reliability by 45% and enhancing overall user experience across web and mobile platforms.
  • Build Optimization: Optimized build processes using Webpack and Vite bundlers, implementing advanced caching strategies and code splitting techniques that reduced deployment time by 30% and improved application load performance by 25%.
  • Cross-Platform Mobile Development: Developed native mobile applications using Apache Cordova framework, ensuring seamless compatibility across Android and iOS platforms while maintaining consistent user experience and functionality.

Jan'2022 - June'2022

Associate Software Engineer

Hughes Systique Corporations

TECHNOLOGY STACK

Jenkins • GitLab CI • Docker • Kubernetes • Ansible • Bash Scripting • Linux Administration • Git • Maven • Gradle

  • DevOps Engineering: Served as a DevOps Engineer, designing and implementing automated CI/CD pipelines using Jenkins and GitLab CI, streamlining deployment processes and reducing software release cycles by 40% while maintaining high system reliability and zero-downtime deployments.
  • Infrastructure Automation: Developed comprehensive automation scripts and deployment workflows using Docker containerization and Kubernetes orchestration tools, resulting in 50% reduction in deployment time and significant improvement in system stability and scalability.



Education


Aug'2024 - Present

Master's in Computer Science

Georgia State University

Atlanta, Georgia

May'2018 - June'2022

Bachelor's in Computer Science

BML Munjal University

Delhi, India

Projects

Projects

Below are some of the key projects I have developed throughout my academic journey and professional career, showcasing my expertise in full-stack development, machine learning, AI technologies, and enterprise software solutions. Each project demonstrates different aspects of my technical skills and problem-solving capabilities.

GPTuner - Database Auto-Tuning System

TECHNOLOGY STACK

Large Language Models (LLMs) • Bayesian Optimization • Python • TPC-C/TPC-H Benchmarking • BenchBase • Cloud-scale DBMS • Machine Learning • Database Tuning

GPTuner is an innovative database auto-tuning system designed to revolutionize database performance optimization through the integration of Large Language Models (LLMs) and advanced machine learning techniques. This cutting-edge system automatically reads and processes database tuning manuals using sophisticated LLM algorithms, then applies Bayesian Optimization for intelligent knob-tuning to achieve optimal database configurations without manual intervention.

Performance Optimization & Benchmarking: The system was rigorously benchmarked using industry-standard TPC-C and TPC-H workloads with BenchBase testing framework, achieving remarkable performance improvements including 25% higher throughput and 20% lower query latency compared to traditional manual tuning approaches. These results demonstrate the system's effectiveness in cloud-scale Database Management System (DBMS) environments, making it particularly valuable for enterprise applications requiring high-performance database operations.

Technical Innovation: GPTuner represents a significant advancement in database optimization by combining the power of modern AI technologies with proven optimization algorithms. The system's ability to automatically interpret complex tuning documentation and apply learned knowledge to real-world database configurations showcases the potential of AI-driven infrastructure optimization in enterprise environments.

Grab Online Order [GOO] - Food Delivery Platform

TECHNOLOGY STACK

Spring Boot • React.js • Apache Cordova • MySQL • REST APIs • Payment Gateway Integration • Google Maps API • Firebase Push Notifications

Grab Online Order (GOO) is an innovative mobile and web-based food ordering platform developed to eliminate unnecessary delivery charges and significantly reduce customer wait times. Unlike traditional food delivery applications, GOO revolutionizes the dining experience by allowing users to place orders from nearby restaurants and pick them up directly, enabling substantial cost savings and immediate access to meals.

Market Validation & User Research: Designed and validated during a foundational entrepreneurship course, GOO underwent comprehensive market research through customer surveys and feedback collection from over 39 users, with 86% recognizing the core problem of excessive delivery fees and wait times. The solution addresses real market needs by offering advanced features including real-time order notifications, secure digital payment integration, and flexible pickup scheduling options, making it ideal for students, working professionals, and budget-conscious consumers seeking affordability and convenience.

Business Impact & Innovation: By removing the dependency on delivery agents and eliminating extra service fees, GOO creates a win-win scenario that empowers both customers and restaurant partners. The platform delivers a scalable and sustainable food ordering experience while reducing operational costs and environmental impact. This project won the prestigious Wadhwani StartMeUp Award, recognizing its impactful innovation in digital commerce and entrepreneurial potential.

DataPrompt - Intelligent Prompt Platform

TECHNOLOGY STACK

Embeddings • RAG (Retrieval-Augmented Generation) • MongoDB • FastAPI • Gemini API • LangChain • Python • Machine Learning • AI/ML Optimization

DataPrompt is an advanced platform designed for intelligent prompt engineering and management, leveraging cutting-edge AI technologies to optimize and streamline prompt workflows for multiple AI agents. The platform provides comprehensive capabilities for storing, retrieving, and optimizing AI prompts using sophisticated embeddings and Retrieval-Augmented Generation (RAG) techniques, enabling organizations to maximize the effectiveness of their AI implementations.

Advanced Features & Analytics: The system includes comprehensive version control mechanisms for prompt management, enabling teams to track changes, compare versions, and maintain prompt evolution history. Advanced analytics capabilities provide insights into prompt effectiveness, performance metrics, and optimization opportunities. The platform integrates seamlessly with the Gemini API and LangChain framework to evaluate and refine prompt effectiveness across multiple AI agents, ensuring consistent and optimal performance.

Enterprise Integration: Built with enterprise scalability in mind, DataPrompt utilizes MongoDB for robust backend storage and FastAPI for high-performance API services. The platform's architecture supports seamless integration with existing AI workflows while providing the flexibility to adapt to various organizational needs and AI agent configurations.

FlyEasy - AI-Powered University Recommendation System

TECHNOLOGY STACK

Machine Learning (KNN Algorithm) • Angular • FastAPI • MongoDB • Web Scraping (BeautifulSoup) • Python • REST APIs • Bootstrap • Git

Fly Easy is an intelligent, AI-powered web application developed to revolutionize how students discover and select the most suitable universities abroad based on their academic profiles, preferences, and constraints. The platform leverages advanced machine learning algorithms, specifically K-Nearest Neighbors (KNN), combined with sophisticated web scraping techniques to provide personalized graduate program recommendations tailored to individual qualifications, budget constraints, location preferences, and desired course of study.

Academic Recognition & Research: Built as a comprehensive bachelor's academic capstone project, Fly Easy achieved remarkable success by being presented and published at the prestigious ICCCN 2022 conference, demonstrating its research value and practical application in machine learning-based educational support. The system achieved an impressive 85% accuracy in university recommendations through rigorous testing and validation with real student data and university profiles.

Technical Innovation: The platform collects real-time university data through automated web scraping, employs sophisticated ranking algorithms using weighted scoring models, and presents personalized suggestions through an intuitive and user-friendly interface. By combining intelligent filtering mechanisms, comprehensive profile analysis, and dynamic data retrieval capabilities, Fly Easy significantly reduces the time and effort students typically spend researching options, offering them a guided, data-backed path to make informed decisions about their higher education journey.

eBPM Portal - Business Process Management System

TECHNOLOGY STACK

Python • FastAPI • Angular • MongoDB • REST APIs • JWT Authentication • Angular Material UI • Docker • Git

The eBPM Portal is a comprehensive full-stack web application designed to revolutionize business process management by digitizing and automating complex task workflows within organizations. Built using modern technologies including FastAPI (Python) for the backend and Angular for the frontend, this enterprise-grade portal enables seamless task assignment, real-time tracking, and sophisticated role-based access management.

Key Features & Functionality: The system provides comprehensive CRUD operations for user and task management, advanced group and role assignment capabilities, and an intuitive dashboard interface for managers and employees to monitor individual, group, and subordinate tasks. Data is securely stored in MongoDB with real-time synchronization facilitated by FastAPI's RESTful services. The portal includes robust audit logging through a comprehensive task history module, ensuring complete transparency and traceability for compliance and reporting purposes.

Technical Implementation: Developed during a Practice School internship at EAIESB Software Solutions, this project demonstrates expertise in modern web development practices, API design, and database optimization. The system emphasizes minimizing manual intervention, improving organizational efficiency by 60%, and delivering a modern, user-friendly experience for enterprise process management.

Crypto Price Tracker - Real-Time Cryptocurrency Monitoring Platform

TECHNOLOGY STACK

Next.js • React.js • Node.js • CoinGecko API • React Query • Axios • Bootstrap • Docusaurus • Git • npm

Crypto Price Tracker is a sophisticated, responsive, and modern web application built with Next.js, designed to provide real-time cryptocurrency price monitoring and portfolio management capabilities using the CoinGecko API. The application offers an interactive and intuitive interface that enables users to search, view, and refresh live market data for the top cryptocurrencies by market capitalization, along with comprehensive portfolio tracking and analysis tools.

Advanced Features & Performance: With a strong emphasis on performance optimization and exceptional user experience, the project leverages React Query for efficient state management and data caching, Axios for robust API communication, and Bootstrap for responsive design and modern UI components. The application includes advanced features such as real-time price updates, intelligent search functionality, comprehensive loading indicators, sophisticated error handling mechanisms, and secure API integration for a polished, production-ready user experience.

Documentation & Development Practices: The project demonstrates professional full-stack development practices by including comprehensive Docusaurus-based documentation, making it accessible for developers to understand, contribute, and deploy. This reflects a complete development lifecycle from backend API integration to frontend development, testing, and documentation, showcasing expertise in modern web development methodologies and best practices.

My Blogs

Explore My Articles

Here are some of my recent blog posts where I discuss various topics related to my experiences and learnings.

Read My Blogs

Testimonials

What People Say

Here are some testimonials from my colleagues and mentors who have worked closely with me.

Sameer Singh

Associate Manager at MedPlus

"In the assigned projects, he conversed properly with team members and adjusted to the team very quickly. He grasped the complex concepts during his involvement of work with react or spring embedded applications. Also, he had got acquainted with various databases through his work including mysql, redis and solr. Right from day one, he was very committed and made sure to deliver in high spirits. He is one of those who refuse to give up on problems. Seeing his conduct, he was given the opportunity to work directly with MedplusMart E-commerce application (App and Website). With his adept skill set and proactive mindset, many times he has foreseen and corrected issues within the project which otherwise would have been showstoppers. His incredible contribution towards the tasks and works was not only appreciated by me but also personally by the corresponding managers."

Anurag Singh

Team Lead of MedPlus Mart Team at MedPlus

“As Abhiram's lead in the MedPlus Mart team, I was continually impressed by his full-stack expertise across React, Spring Boot, and database systems. He played a pivotal role in building scalable features, optimizing performance, and improving system integration. His ability to bridge frontend and backend workflows, along with his initiative in enhancing DevOps processes, made him a key contributor to our team's success. Abhiram’s development of reusable components like the DataGrid significantly improved efficiency across multiple internal applications. His proactive mindset, attention to detail, and commitment to clean architecture made collaboration effortless and elevated the overall code quality within the team.”

Xiaojun Cao

Manager of OGMS team at Georgia State University

“For Graduate student's portal - OGMS project, I’ve had the pleasure of witnessing his strong backend and frontend capabilities firsthand. He played a critical role in developing the application using Python FastAPI and React, ensuring seamless integration through well documented RESTful APIs and dynamic data handling with AJAX. Abhiram’s attention to clean design, both in code and UI, elevated the project’s usability especially through his integration of AG-Grid and Tailwind CSS. His commitment to clarity in API documentation via Swagger, and his proactive communication, significantly accelerated development timelines and made cross functional collaboration smooth and efficient.”

Contact

Contact Me

Below are the details to reach out to me!

Address

Atlanta City, Georgia

Contact Number

+1 678-480-4408

Email Address

abhiramgelle738@gmail.com

Download Resume

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