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CS undergrad specializing in AI/ML building scalable, production-grade full-stack systems. FAANG-track engineer with national hackathon wins and real-world deployment experience.
I'm a Computer Science undergraduate at GIET University (B.Tech, AI & ML specialization, graduating May 2027) passionate about the intersection of intelligent systems and production-grade engineering.
My work spans full-stack web development, AI/ML pipelines, and IoT systems. I've built apps serving real departments at Indian Railways, and engineered an AI lighting system that cut energy consumption by 40%.
I thrive in hackathons — winning 1st place at national-level competitions including Sharda University's Technovation and qualifying as a finalist for Smart India Hackathon 2024 (Govt. of India).
AI-powered IoT smart lighting system using live camera feeds and a Python computer vision model as its "brain" — detecting real motion like pedestrians or vehicles and instantly triggering C++ firmware on the streetlight microcontroller. Lights stay dim by default and only power up where needed.
Predictive analytics system modernizing water and waste management using AI and IoT. C++ sensors monitor water flow and bin fill-levels; a Python ML model forecasts when bins will overflow and detects pipe leaks before they occur — transforming city management from reactive to proactive.
Advanced AI-powered cyber threat detection platform combining ML models, network traffic analysis, and blockchain-based trust scoring to detect, analyze, and mitigate threats in real time. Integrates forensic logging for post-incident investigation across distributed IoT infrastructure.
Full-stack web application replacing disconnected workflows for railway officers with a centralized platform. Manages appointments, official meetings, and tour programs with real-time data sync and role-based access across 5+ departments.
Production-grade centralized web-based scheduling and coordination system for Indian Railways Headquarters, Bhubaneswar. Replaced manual administrative workflows across 3+ departments with real-time role-based dashboards and data access — achieving 99% uptime in live deployment serving 10+ administrative staff.
Mentoring students through Google Cloud Learning pathways and Study Jams, helping build cloud-native skills across the campus community.
Speaker at a club workshop addressing 200+ students on data science and ML fundamentals — bridging theory and hands-on practice.
Consistent winner at university-level competitions, leading cross-functional teams to build impactful solutions under pressure.
I'm actively looking for full-stack / SWE internships and new grad roles. If you're building something ambitious — or just want to talk tech — let's connect.