Software Engineer
I'm Nikhil — a software engineer focused on resilient backends, real-time data pipelines, and ML-powered platforms. Currently a CSE undergrad at SRM University AP, building things that hold up under load.
University-funded elderly monitoring backend — REST APIs, ESP32 sensor streams, and an event-driven alert pipeline that flags inactivity in real time.
RAG-based copilot that indexes large codebases as vector embeddings — chunking, embedding, and serving semantic queries with caching and batching for low latency.
Semantic query engine for policy documents — modular retrieval, response generation, and a caching layer that doubled query throughput.
NLP mental-health chatbot — intent classification across 10+ intents for structured conversations, with high-risk keyword detection and a deployed full-stack app.
ML-powered air-quality forecaster — feature engineering and time-series models that predict pollution levels and surface real-time health-risk alerts.
C++ command-line finance manager with an OOP core, CSV persistence, and analytics — category filters, date-range queries, and monthly spend reports.
Real-time hand-sign detection tracking hand landmarks from webcam video using MediaPipe and OpenCV for responsive gesture recognition.
Equipment-health framework fusing Kalman filters with autoencoders to predict failures from multivariate sensor streams — 5 detection strategies benchmarked with ROC analysis.
ML-driven observability system flagging memory leaks, latency drift, and error spikes via Isolation Forest and SLA-aware forecasting, with F1 / ROC-AUC and early-warning lead-time reporting.
Production Web & React Native · Backend APIs
VR Streaming · Simulation Framework
I'm a final-year B.Tech student in Computer Science at SRM University AP, ranking in the top 1% of my batch with a 9.16 CGPA. My center of gravity is backend engineering — APIs that don't fall over, pipelines that stay fast under load, systems that are boring in the best way.
"Build things that hold up — quietly, efficiently, and without theatre."
Beyond coursework, I'm engaged in faculty-guided research and developing an early-stage SaaS product aimed at market launch. I learn fastest by shipping — and care most about the seams where systems actually meet reality.