CS sophomore at VIT Amaravati (AI & ML) — building intelligent systems that ship.
I'm a CS sophomore at VIT Amaravati specialising in AI & ML, with hands-on experience designing distributed systems, autonomous multi-agent pipelines, and high-performance AI-integrated applications. I don't just study machine learning — I ship it. My work spans the full stack: C++ firmware on ESP32 microcontrollers, scalable Django/FastAPI backends containerised with Docker and orchestrated with Kubernetes concepts, and TensorFlow models in production.
My flagship project — Smart Vision Aid — is AI-powered smart glasses with 3× ESP32-CAM modules and YOLO object detection, giving the visually impaired 360° spatial awareness. It was selected for VIT Amaravati's Internal Expo 2025.
Most recently I built CyborgAI — a fully local, self-healing AGI OS submitted to the Kaggle × Google DeepMind Gemma 4 Good Hackathon, combining MedGemma 4B for on-device clinical reasoning, an adaptive education tutor, Mirofish knowledge graph, and Jarvis voice engine — all running offline on your own hardware with automatic health monitoring and failure recovery.
Alongside engineering, I run Editor Cyclops — a freelance video editing and content strategy practice serving 10+ creator-economy clients with short-form content for Instagram Reels and YouTube Shorts.
My superpower: ML theory → production systems. I understand the math, write the code, deploy the product — and cut the story together.
A full-stack polyglot — fluent across AI/ML, LLM orchestration, distributed systems, backend infrastructure, mobile, embedded firmware, and motion design. Every skill below has been used in a shipped project, not just studied.
Engineering builds and a freelance creative practice, running side by side.
Actively seeking internships in AI/ML, backend dev & distributed systems for 2025–26, plus freelance video editing projects via Editor Cyclops.
Response time: usually within a few hours.