Umeshkumar Ghaskata

Owned the full software development lifecycle(SDLC) for a cross-platform React Native application using JavaScript, Firebase, and SQL-based data concepts for behavioral tracking and personalized AI coaching by integrated REST APIs. Managed source code and collaborative development using Git and GitHub, implemented automated CI/CD pipelines with GitHub Actions, and improved application performance by reducing redundant API calls using Redux by 30%. Built personalized AI coaching by Fine-tuned LLM on AWS Cloud Linux instance using Python, PyTorch.

Then deployed it to a university server to eliminate reliance on OpenAI API calls and reduced on going maintenance cost.

Software Engineer at Roswell Park Comprehensive Cancer Center (2025-06 – Present)

• Owned the full software development lifecycle(SDLC) for a cross-platform React Native application using JavaScript, Firebase, and SQL-based data concepts for behavioral tracking and personalized AI coaching by integrated REST APIs.
• Managed source code and collaborative development using Git and GitHub, implemented automated CI/CD pipelines with GitHub Actions, and improved application performance by reducing redundant API calls using Redux by 30%.
• Built personalized AI coaching by Fine-tuned LLM on AWS Cloud Linux instance using Python, PyTorch. Then deployed it to a university server to eliminate reliance on OpenAI API calls and reduced on going maintenance cost.
• Implemented Redis caching and rate limiting in a Node.js Express backend, reducing redundant AI API requests and improving backend performance and response latency.
• Followed Agile practices through weekly meetings with user, advisor: taking direction and constructive criticism.

Software Engineer at Scitara Corporation (2022-11 – 2023-02)

• Build and deployed low latency RESTful API for SaaS Product using Docker which reduced the manual testing time by 30%, removed the reliance of 3rd Party API for testing.
• Facilitate backend with FastAPI Microservices with JWT Authentication and MockAPI service with PostgreSQL, equipped with Kubernetes(AWS EKS) for production.

Volunteer Web Developer at IIT Bombay - Rocket Team (2022-03 – 2022-07)

• Developed and maintained the IIT Bombay Rocket Team's multi-page static website using HTML, Tailwind CSS, and JavaScript, implementing responsive UI components and deploying the application through GitHub Pages.

Research Assistant at DRONES Lab (NASA AIST-21 Project) (2024-08 – Present)

• Designed, trained, evaluated, and deployed Deep Learning models (PCA+MLP, FPGA-based architectures) for hyperspectral image classification improving land-cover recognition accuracy from 75.4% to 94.5%.
• Reduced edge inference latency from 295ms to 52ms using optimized Model to enable real-time classification.
• Engineered benchmarking framework across RTX 4060, Jetson Orin, and Xavier guided Hardware selection.
• Published Thesis on energy-efficient coverage path planning; developed a Python-based optimization framework that processed millions of simulation data reducing path overlap by 40%, improving energy efficiency by 10%.

MS in Computer Science – University at Buffalo, SUNY (2026-05)

B.Tech in Engineering – Indian Institute of Technology(IIT), Bombay (2024-05)