I'm driven by a mission to engineer intelligent, scalable, and impactful tech solutions that solve real-world challenges. I specialize in the MERN Stack and leverage Applied AI/ML to build high-performance, full-stack systems—from developing LLM-powered applications to designing robust, production-ready APIs. I thrive on translating complex ideas into functional, real-world value.
- Algorithmic Excellence: Solved 200+ Data Structures & Algorithms (DSA) problems on LeetCode, demonstrating strong foundational problem-solving and algorithmic efficiency.
- Full-Stack Proficiency: Proven expertise in the MERN Stack and building cloud-ready, scalable web applications (e.g., VeriWrite).
- AI/ML Application: Hands-on experience integrating LLMs, NLP, and Deep Learning into high-impact systems (e.g., ChefMate).
- Advanced Systems Design: Deepening expertise in MERN/Node.js architecture, focusing on backend scalability, API performance, and system design principles.
- Upcoming Build: Planning a Multiplayer Board Game (Three Men’s Morris) with real-time matchmaking, tournaments, and leaderboard features.
These projects highlight my ability to deliver innovative, high-performance solutions across the full stack and AI spectrum:
A robust MERN Stack platform designed to ensure academic integrity across multi-format submissions.
- High-Performance Engine: Engineered a specialized plagiarism engine that achieved a 95% reduction in comparison overhead using MinHash and Locality-Sensitive Hashing (LSH) for efficient detection across a large document corpus.
- Multi-Format Input: Implemented reliable content extraction from PDFs, DOCX, and images using Azure OCR.
- Real-Time Web Matching: Integrated the SERP API for dynamic content matching against vast online repositories.
- Stack Highlights: MERN, Azure OCR, MinHash/LSH, Jaccard-Overlap.
A smart culinary assistant utilizing advanced NLP to create personalized, interactive cooking experiences.
- Personalized Recipe Generation: Built an assistant that uses NLP and LLM models (OpenAI/Hugging Face) to generate recipes based on dietary filters, regional cuisines, and available ingredients.
- Optimized & Robust: Implemented Redis caching to reduce database queries, improving responsiveness, and containerized the application using Docker with a FastAPI/PostgreSQL backend.
- Modern Practices: Developed using Behavior-Driven Development (BDD) and integrated CI/CD for high code quality.
- Stack Highlights: React, FastAPI, PostgreSQL, Redis, OpenAI API, BDD, Docker.
An architectural plan for a highly secure, AI-enhanced platform combining strong anonymity with intelligent report analysis.
- Ultimate Anonymity: Designed to leverage Tor-based access and end-to-end encryption to protect whistleblowers from exposure.
- AI-Driven Intelligence: Integrates NLP and anomaly detection to transform incoming reports into actionable insights for investigators.
- Secure & Accountable: Features tamper-proof evidence handling, role-based access, and immutable audit logs to ensure accountability and transparency.
I love working across the stack — blending software engineering, machine learning, and AI innovation.
I’m always open to discussing new opportunities, innovative collaborations, or exchanging ideas on scalable technology and AI. Let’s connect and build something impactful together!
