Projects
Things I have built
Project Sentinel
- Built a real-time AI governance proxy that intercepts and validates all requests between applications and LLM APIs (Gemini) before they reach the model.
- Engineered a PII detection and redaction engine using Microsoft Presidio capable of identifying and masking 50+ sensitive data types including emails, credit card numbers and API keys.
- Implemented a semantic prompt injection detection system to block jailbreak attempts and system prompt overrides in real time with sub-50ms latency overhead.

Kolkata Parking
- Built a community-driven parking finder for Kolkata using Next.js, Supabase, and Prisma, featuring an interactive Leaflet/OpenStreetMap interface where users browse and filter live spots by vehicle type, price, and verification status.
- Integrated the OpenStreetMap Nominatim API for geocoding and reverse geocoding, with city-bounded search (viewbox biasing),in-memory caching to reduce redundant requests, and graceful fallback when no match is found — enabling free-text location search without a paid API key.
- Designed a no-auth crowdsourcing submission flow where users drop a pin, search by address, and upload photos to add new spots directly to a Supabase-backed database, with all community submissions flagged " Unverified " pending review.

Parse Spy
- Developed an automated digital forensic tool using Selenium WebDriver to simulate human interaction for high-fidelity data extraction from social mediaplatforms.
- Architected a modular desktop application with an Electron.js frontend and Node.js backend, achieving a 90% reduction in mean processing time compared to manual investigation.
- Engineered an automated reporting module using PDFKit to generate comprehensive forensic reports withembedded screenshots and verified timestamps.

Crop Sense
- Developed an IoT-enabled predictive farming platform(Indian Patent: 202531042207 A)that recommends optimal crops based on real-time soil composition, temperature, and humidity sensor data.
- Delivered a responsive farmer-facing UI for location-specific input andpersonalized crop recommendations reducing dependency on manual agronomic consultation.

- Built with React JS using component-based architecture for clean, reusable UI .
- Used custom color palette ( navy blue + golden yellow) giving a bold , premium brand feel.
- It Demonstrates my real-world UI/UX thinking and showcases the ability to replicate production-level design aesthetics .
