📍 Vellore, India
I'm a final-year Computer Science student at Vellore Institute of Technology (CGPA 8.57), currently working as a Software Developer at Ximble, a logistics platform, where I build an AI-driven QA agent system — ingesting GitHub webhooks, running multi-repo impact analysis with Gemini, generating HTTP test plans from Arazzo specs, and executing them autonomously against staging environments.
I enjoy working across the stack — from FastAPI backends and LLM integrations to React frontends — and I'm an active open-source contributor, picking up good-first-issues across projects like krkn-chaos/krkn, AlexandriaChemistry/ACT, cloud-hypervisor, and Uninett/Argus to sharpen my engineering fundamentals.
🎯 Core mindset: Clean architecture · Scalable systems · Data-driven problem solving
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AI Systems Builder Designing LLM-powered QA agents — impact analysis, test generation, and autonomous execution pipelines |
Full-Stack Engineer Building end-to-end apps with FastAPI, React, Node.js, and SQL-backed services |
Data & NLP Sentiment analysis, multimodal QA systems, and applied ML with 85%+ accuracy in production tools |
Open Source Contributor Actively shipping PRs across chaos engineering, chemistry, and virtualization projects |
▸ Building an AI-driven QA agent — FastAPI system ingesting GitHub webhooks and using Gemini for multi-repo impact analysis ▸ Generating and executing HTTP test plans from Arazzo YAML workflow specs against staging environments ▸ Designed multi-actor auth handling, GitHub Projects v2 integrations, and a fully autonomous test pipeline |
▸ Built a Client Feedback Sentiment Analyzer using Python, NLP (TF-IDF, Logistic Regression), and Streamlit — 85% accuracy ▸ Developed an interactive dashboard with sentiment charts, word clouds, and trend analysis ▸ Automated reporting and CSV/Excel exports, cutting manual effort by 60% |
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Full-stack app that converts high-level user goals into structured project plans using Groq LLM analysis. FastAPI + SQLAlchemy backend with a React/TypeScript frontend built with MUI.
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Video Question Answering system with frame extraction, Whisper transcription, and multimodal embeddings (visual + audio + text). Uses BART for efficient answer generation.
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Team chat app with instant messaging across channels using Socket.IO. Secure JWT + bcrypt auth, MongoDB persistence, Cloudinary media storage, and a responsive Tailwind/DaisyUI/Bootstrap UI.
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Active contributor across multiple repos — pytest framework migration for krkn-chaos/krkn, a ForceComputer statistics feature for AlexandriaChemistry/ACT, a Rust refactor for cloud-hypervisor, and a UI fix for Uninett/Argus.
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| ☁️ | AWS Cloud Practitioner | Amazon (Aug 2024) |
| 🧠 | Getting Started with Deep Learning | NVIDIA (Sept 2025) |
Vellore Institute of Technology, Vellore, India B.Tech in Computer Science — CGPA 8.57/10.0 (Sept 2022 – Present)
⭐ Star my repos if you find them useful — it keeps me building more! 🚀