About
Final-year B.E. (IT) student at VCET, Vasai, with hands-on experience building production-ready, AI-integrated applications. Coherence 2026 Top 5 Finalist. Skilled in React.js, Next.js, Node.js, PostgreSQL, and cloud deployment. Passionate about DevOps, workflow automation, and AI-powered tooling — with a proven track record across hackathons, internships, and independent projects.
Work Experience
Skills
Check out my latest work
I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.
An n8n-inspired visual workflow builder with drag-and-drop canvas, 22 node types (Triggers, AI, Communication, Logic), and multi-channel outreach across Email, Discord, Telegram, Slack & SMS. Integrates Groq LLaMA 3.3 70B for personalized message generation with a real-time Socket.io execution engine, live log streaming, blacklist enforcement, and daily rate limiting. Coherence 2026 — Top 5 Finalist.
A live AI enrichment pipeline using Gemini 1.5 Flash — scrapes company pages in parallel (Cheerio) to auto-generate summaries, signal bullets, and tag suggestions. Features drag-and-drop Kanban pipeline, faceted filters, Cmd+K command palette, SVG analytics, and 52 automated UI tests via TestSprite.
Full-stack fitness tracking web application with a React.js, Tailwind CSS, and Framer Motion frontend, backed by Node.js, Express.js, and MongoDB. Integrated third-party Nutrition API and Exercise Database API to deliver personalised fitness insights and recommendations. Frontend deployed on Vercel, backend on Render with continuous integration and deployment.
Behaviour-based bot detection system using ML algorithms — Random Forest, XGBoost, SVM, KNN, and Logistic Regression. Built a real-time frontend interface to visualise detection results and enhance user interaction. Trained and evaluated models on a large dataset, improving detection accuracy and reducing false positives.
Multi-sensor smart blind stick built on a PIC16F877A microcontroller to assist visually impaired individuals in safe navigation. Integrated ultrasonic, moisture, fire, and LDR sensors to detect obstacles, water hazards, fire, and low-light conditions in real time. Implemented a voice alerts and buzzer feedback system for real-time hazard guidance.
Built for MEGAHACK 2026 by Team S8UL. An AI-Powered Career Command Center featuring Live AI Voice Interviews, Semantic Job Matching, Personalized Learning Roadmaps, and Gamification. Integrates ElevenLabs TTS and Groq Whisper.
I like building things
During my time in university, I attended 3+ hackathons. People from around the country would come together and build incredible things in 2-3 days. It was eye-opening to see the endless possibilities brought to life by a group of motivated and passionate individuals.
Coherence 2026
VCET, Vasai, Maharashtra
Top 5 Finalist. Built FlowReach AI — a production-grade platform with a visual workflow builder, AI-powered message generation using Groq LLaMA 3.3 70B, and a real-time multi-channel execution engine (Email, Discord, Telegram, Slack, SMS).
VCET DevOps Hackathon 2026
VCET, Vasai, Maharashtra
Track 3: DevOps & Observability. Engineered a full microservices observability stack: Kubernetes deployments with Horizontal Pod Autoscaler (HPA), Prometheus scraping and alerting rules, and AlertManager with Discord webhook integration for real-time incident notifications.
MEGAHACK 2026
Team S8UL
Built CareerBridge AI — an AI-Powered Career Command Center featuring Live AI Voice Interviews, Semantic Job Matching, and Personalized Roadmaps. Integrated ElevenLabs TTS and Groq LLMs.
Get in Touch
Want to chat? Just shoot me an email with a direct question and I'll respond whenever I can. I will ignore all soliciting.