Iam a passionate B.Tech student specializing in IoT and Cybersecurity, currently in my third year at Dronacharya College of Engineering, Gurugram. Most of what I build ends up deployed somewhere real — a canteen system ,predictive-maintenance models , a published paper presented on an international stage(ABU DHABI).
My journey lies at the intersection of full-stack engineering and data intelligence. I don't just build websites;
I am engineer responsive, data-driven platforms that solve complex operational problems.
From deploying industrial IoT predictive maintenance systems to architecting LLM-assisted pharmacogenomics tools,
I love taking raw data and turning it into actionable, user-friendly software.
I care less about collecting frameworks and more about whether the thing actually works when someone else uses it.
SKH Private Limited · Gurugram, India · On-site
Building a Role-Based Access Control (RBAC) Canteen Management System that replaced a manual, dispute-prone meal-tracking process with an auditable digital workflow across three portals — Employee, HR, and Vendor.
A structured DSA learning platform with a guided, topic-unlocking roadmap — built as an alternative to static sheet-based trackers like Striver's or Love Babbar's.
An industrial IoT predictive-maintenance system that flags equipment failure risk from live sensor data — the project this portfolio's whole "systems that ship" claim rests on.
A pharmacogenomics risk-prediction tool that analyzes VCF genomic files through an LLM-assisted pipeline, built for the RIFT 2026 hackathon.
An AI-powered industrial safety system with compound risk detection and geospatial risk heatmaps, built for ET AI Hackathon 2.0.
A complete multi-page business E-Commerce website for a door-hardware manufacturing company — real client, real constraints, real launch.
A backend testing bot that scores and gives structured feedback on resumes — currently being built.
GitHub links for these are being added .
"AI-Powered Predictive Maintenance using IoT and Blockchain"
Read Live PaperInternational Conference Paper
Heart Disease Prediction (with SHAP explainability)
Open to Frontend, Full-Stack, and AI/ML internships. If a form feels like too much ceremony, just email me directly.