CS Student · AI/ML Engineer · Backend Developer
Building software that solves real-world problems.
I specialize in backend systems, real-time applications, and distributed architecture. From building embedded IoT networks to integrating machine learning into scalable software products, I focus on delivering robust and efficient solutions.
RateGain Travel Technologies Ltd.
Hybrid (Remote + Noida, India) · 6 Weeks
Self-employed · 5 college faculty clients
Click any project to expand details, tech stack, and links.
Research-driven & engineering-focused
A multiplayer location-based survival game where player interactions happen according to real GPS positions. Built a GPS proximity detection engine using the Haversine formula for accurate player collision and zone detection. Designed real-time multiplayer synchronization achieving sub-second latency for multiple concurrent players.
A REST API that classifies text into 13 emotion categories using a CNN + Sentence-BERT ensemble. Deployed on Hugging Face Spaces with a FastAPI backend achieving sub-250ms inference. Includes full evaluation pipeline: F1 score, precision/recall analysis, confusion matrix visualization, and class imbalance handling.
An AI image generation pipeline that continuously monitors market trends and adapts Stable Diffusion image generation prompts in real time. Scraped over 10,000 daily data points via AJAX & infinite scroll scraping, structured them into JSON/CSV pipelines, performed sentiment analysis, and fed the results into real-time img2img Stable Diffusion transformations.
Raspberry Pi Automated Traffic Optimization and Response — an adaptive smart traffic control system using computer vision deployed on Raspberry Pi hardware. Achieved 25–35% reduction in congestion and 20–30% reduction in waiting times. Research published in GIS Science Journal before the author entered undergraduate studies and covered by The Times of India.
Competition wins, recognition & publications
Competed against 200+ teams in a national-level hackathon. Signal-86 recognized for real-world deployment viability, sub-second WebSocket performance, and novel GPS gameplay mechanics.
Secured All India Rank 2 at IIT Delhi with a gold medal for tech-business modeling. Project ranked among Top 1000 submissions nationwide.
Published research on adaptive traffic control using computer vision before entering undergraduate studies. Covered by The Times of India.
Covers: Supervised ML · Advanced Learning Algorithms · Unsupervised Learning · Recommenders · Reinforcement Learning
Open to research fellowships, AI/ML collaborations, and interesting engineering challenges.
Bhubaneswar, Odisha, India
SOA University (ITER) · B.Tech CSE
Sep 2024 – May 2028 · CGPA 8.35
Open to research fellowships & AI/ML collaborations