M.S. in Computer Science from Texas Tech University
- 🔭 I’m building LLM-powered developer tools that transform source code into structured specifications and developer documentation.
- 🤖 My interests include generative AI, code intelligence, machine learning, backend systems, and cloud-native applications.
- ☁️ I have professional experience with Azure infrastructure, CI/CD, Docker, Kubernetes, and automation.
- 🌱 I’m currently exploring LLM evaluation, retrieval-augmented generation, scalable AI systems, and system design.
- 👯 I’m open to collaborating on AI tools, developer-productivity platforms, cloud applications, and open-source projects.
- 💬 Ask me about LLMs for code, Python, Azure, machine-learning pipelines, APIs, and data structures and algorithms.
- ⚡ Fun fact: I’m a national-level badminton player and trained in Indian classical sitar and vocal music.
An LLM-powered platform that transforms GitHub repositories into structured API specifications and developer documentation. It also provides semantic search, code chat, AST-based validation, and evaluation workflows.
Technologies: Python, FastAPI, Next.js, FAISS, LLMs, AST analysis
A real-time marker-based augmented-reality system featuring ORB detection, RANSAC homography, Kalman-filter tracking, camera projection, and 3D OBJ rendering.
Technologies: Python, OpenCV, NumPy, Pytest, GitHub Actions
A blockchain and proof-of-work implementation supporting wallets, transactions, balances, mining, persistent storage, and node-based operations.
Technologies: Go, REST APIs, Docker, Proof of Work
A PyTorch implementation of Proximal Policy Optimization for continuous pendulum control, featuring Generalized Advantage Estimation, clipped objectives, learning curves, and value-function visualization.
Technologies: Python, PyTorch, Gym, NumPy, Matplotlib
Building reliable AI systems and developer tools that turn complex ideas into useful software.