Full Stack & AI Engineer | Ex-Instafix & Ex-Stremly | B.Tech Student @IIIT Delhi
• I'm Abhigyan, a Full Stack & AI Engineer from India.
• I specialize in AI/ML, Full Stack Development,
Automation Systems, and Cloud Platforms.
• I build scalable applications, integrate AI models, and create automation workflows
that solve real-world problems.
• Tags: AI enthusiast, full-stack developer, problem solver, quick learner, team player.
• Languages: C, C++, Python, JavaScript, TypeScript, HTML, CSS
• Frameworks & Libraries: React.js, Next.js, Node.js, Express.js, FastAPI, Electron.js, React Native, Tailwind CSS
• Databases & Caching: MongoDB, PostgreSQL, Redis, Firebase, Vector DBs (Qdrant, Atlas Vector Search)
• AI & LLM Engineering: RAG Pipelines, LLM Agents, Function Calling, Google Gemini, OpenAI API, Prompt Engineering
• Backend & System Design: REST APIs, WebSockets, Multi-tenant Architecture, Microservices, Scalable Systems
• Tools & DevOps: Git, GitHub Actions, AWS, GCP, Postman, Vercel, Railway, Render, Figma
Instafix — Gurugram, India (On-site)
Nov 2025 – Apr 2026
Stremly — Dublin, Ireland (Remote)
Sep 2025 – Nov 2025
Foodoscope CoSyLab — IIIT Delhi
Aug 2025 – Dec 2025
B.Tech in Electronics and Communications Engineering
2023 – 2027
(Expected)
Class XII: 81.4%, Class X: 96.4%
2020 – 2023
Wuup | Next.js, Node.js, PostgreSQL, Redis, LLMs, RAG, Turborepo Apr 2026 – Present
• Built a multi-tenant AI platform to query live databases (MongoDB, PostgreSQL, Google Sheets) in natural language with workspace-scoped data isolation.
• Architected RAG pipeline with hybrid vector search, re-ranking, and model rotation across 4 Gemini models, 100% query uptime under rate limits via exponential backoff.
• Designed Brain Orchestrator with priority-based context eviction, LLM function calling, and structured meta-response protocol for dynamic UI rendering.
Live | GitHub | Docs
Voicely | React, Node.js, Express, MongoDB, Twilio, Deepgram, Gemini, TTS Jul 2025 – Present
• Built a real-time voice AI platform with end-to-end streaming pipeline (STT → LLM → TTS) achieving <1.5s latency and Rs 1.5/min cost via token streaming.
• Integrated Twilio, Deepgram STT, Gemini, barge-in detection, 12+ languages, contextual memory, and Telegram summaries; deployed on Vercel.
GitHub | Docs
Real-Time Object Detector | Python, OpenCV, YOLOv3, Computer Vision Sep 2024 – Dec 2024
Implemented YOLOv3-based object detection with OpenCV at 30 FPS.
• Detected 80+ object classes with real-time bounding boxes and confidence scores.
GitHub