Malaria Detection Using CNN (Deep Learning)
A deep learning project that uses Convolutional Neural Networks (CNNs) to detect malaria from microscopic images of blood samples. Achieved a 96% accuracy rate through extensive training and data preprocessing, contributing to healthcare diagnostics.
Full-Stack Amazon Clone (Flutter + Node.js + MongoDB)
A shopping app with features like product listing, cart management, user authentication, and secure payments.
SnapQuote AI
AI SaaS platform built with Node.js, Supabase, Groq API, Redis, and in-app purchases. Implemented multi-tenant architecture, row-level security, JWT authentication, quota enforcement, tiered premium access, speech-to-text, AI quote generation, retry-safe orchestration, fallback generation, throttling, public quote caching, and server-side purchase validation.
Distributed Ride-Matching Backend
Horizontally scalable Node.js microservices system using MongoDB, Redis, and H3 geospatial indexing. Designed Driver Discovery, Route Matching, and Ride Matching services with an API Gateway, Redis Pub/Sub coordination, and load testing sustaining 300 concurrent virtual users at p99 latency under 950ms.
Multi-Threaded Deep Packet Inspection Engine
C++17 and libpcap producer-consumer DPI pipeline using pthreads, atomic operations, bounded blocking queues, TLS SNI extraction, HTTP Host parsing, rule-based IP/domain/application blocking, zero-copy packet forwarding, graceful shutdown, and detailed packet statistics.