I build intelligent systems — from real-time computer vision pipelines to ML models that solve real industrial problems. Currently pursuing B.Tech in CS at LPU.
About
I love building things at the intersection of software engineering and machine learning — real-time pipelines, CV systems, fault detection models, and agentic workflows. I care deeply about writing clean, scalable code.
Flexible with remote work & open to relocation. Comfortable collaborating across time zones.
Published at ACM and filed a patent — because I believe the best engineers both build and discover.
Full-time SWE / ML Engineer roles. Open to startups & product-focused teams.
Career
Work
Real-time CV pipeline for multi-camera retail monitoring. Tracks customers, shelves, and anomalies — delivering footfall trends and automated restocking alerts.
Vibration-based fault detection for industrial bearings using cascaded SVM with EWMA and mRMR feature selection (74→20 features). Achieved 3.36% false alarm rate, validated via ablation study.
AI-powered learning assistant that helps students learn faster — smart summaries, interactive flashcards, AI-generated quizzes, and PDF-based learning using RAG (Retrieval-Augmented Generation).
Academia
Published at ACM AICCC 2025
Submitted via Microsoft CMT · 2026
Patent filed · 2026
DSA
Let's Connect
I'm open to full-time roles, internships, and interesting projects. Reach out and let's talk.