Full-stack engineer building scalable, production-grade web systems end-to-end — from architecture and development to deployment and iteration. Specialized in designing and shipping SaaS products with advanced AI/ML capabilities and vector-based retrieval systems.

Core Philosophy: Complete ownership across product design, engineering, infrastructure, and distribution. Focused on clean architecture, performance optimization, and solving entire workflows—integrating cutting-edge AI techniques like RAG, semantic search, and vector embeddings.

Jan 2024 - Present · 2 years 5 months | Remote

Architected and delivered features across 4+ international SaaS products, contributing to frontend engineering, REST API design, and client-facing delivery.

Key Achievements:

• Quoka Platform: Built and shipped 8+ features including FAQ systems and work booking flows using Next.js, achieving 94% Lighthouse performance score
• VastuWisdom: Led frontend development as tech lead, owned product architecture, managed 2-person engineering team, delivered in 6-week sprint cycle
• AlexandersFA: Delivered full-stack end-to-end (design → development → deployment → client communication)
• AllUnity: Independent contributor to client-facing frontend systems in high-trust environment

Tech Stack: Next.js, React, Context API, REST APIs, Node.js, Express.js, MongoDB, Vercel, Netlify

Full-stack SaaS | Led end-to-end development

Diagnostic analytics platform analyzing real exam performance signals to generate actionable readiness insights using advanced semantic search and vector embeddings.

Impact & Features:

• Performance Metrics: 2,500+ users, 15,000+ exam attempts analyzed
• Diagnostic analytics dashboard with deep performance breakdown
• Pattern-based mistake detection & consistency tracking using RAG-powered insights
• Readiness scoring (proprietary algorithm with semantic analysis)
• Mobile-optimized real-time insights dashboard
• 98% uptime SLA maintained
• Vector-based question similarity and recommendation engine

Tech: React, Node.js, Express, MongoDB, PostgreSQL, pgVector, LangChain, Chart.js, AWS, OpenAI API

Full-stack SaaS | Product design through deployment

Transforms resumes into measurable outcomes with AI-powered insights, semantic search, and intelligent document analysis using retrieval-augmented generation.

Impact & Features:

• User Base: 8,000+ users | Processing Capacity: 50,000+ resume analyses
• ATS score analysis & resume optimization recommendations powered by LangChain
• Resume ↔ Job Description matching with gap identification using RAG and vector embeddings
• AI-powered technical & behavioral interview simulation (10+ interview types)
• Resume-to-portfolio website generation
• Job application tracking system with analytics
• Skill-level tracking with performance feedback loops using semantic search
• Company culture-fit assessment tool
• Intelligent document chunking and retrieval system with pgVector

Tech: Next.js, React, Node.js, MongoDB, PostgreSQL, pgVector, LangChain, RAG, OpenAI API, Stripe (payments)

• Full Stack Development: Architecture, design, and deployment of production SaaS applications
• AI & Machine Learning: LangChain, RAG systems, vector embeddings, semantic search, OpenAI integration
• Vector Databases: pgVector for similarity search and semantic retrieval
• Frontend: React, Next.js, modern state management, responsive design, performance optimization
• Backend: Node.js, Express, REST APIs, database design, system scalability
• Database: MongoDB, PostgreSQL, vector database design, query optimization
• DevOps: CI/CD pipelines, cloud deployment (Vercel, Netlify, AWS, Heroku)
• Product Thinking: Feature prioritization, user analytics, data-driven decisions
• Team Leadership: Cross-functional collaboration, mentoring junior developers

💡 Open to collaborations on scalable web applications, SaaS product development, AI-powered systems, and technical mentoring