The Artisan; dedicating oneself to the mastery of their craft.
About
I am a Full Stack Developer and AI Engineer driven by a passion for building scalable, high-performance applications. From fine-tuning BERT models for legal document analysis to designing microservices architectures with Spring Boot, I enjoy solving complex engineering problems end to end. I specialize in React and Next.js on the frontend, Node.js and FastAPI on the backend, Java microservices with Spring Boot, and deep learning systems with PyTorch. My goal is simple: to build software that is robust, intelligent, and delightful to use.
Certifications
- •Gained hands-on experience with AWS services including S3, EC2, and Lambda for scalable web applications.
- •Designed and implemented cloud-based solutions reducing infrastructure costs by 25%.
- •Completed certification requirements demonstrating proficiency in cloud architecture principles.
- •Developed secure file storage solutions using AWS S3 with signed URL generation.
Projects
AI-powered legal risk analysis platform featuring 4 fine-tuned BERT models for clause classification, risk scoring, unfair clause detection, and NER. It processes contracts end to end in under 60 seconds, uses a multi-task Legal-BERT architecture trained on LEDGAR across 100+ clause types, and integrates a switchable LLM layer with Groq or Ollama plus RAG-grounded clause explanations.
- 4 fine-tuned BERT models processing contracts in under 60 seconds
- Multi-task Legal-BERT trained on LEDGAR across 100+ clause types
Production-grade AI observability platform analyzing 10+ repository health and code quality metrics. Built with a Next.js and React TypeScript frontend for analytics dashboards and multi-view repository insights, with Redis caching, BullMQ workers, Socket.IO streaming, SSR, edge caching, and optimized data fetching.
- Tracks 10+ repository health and code quality metrics
- Improved dashboard load time by about 40% with SSR and edge caching
Real-time chat application featuring WebSocket-based messaging, JWT authentication, and presence indicators. Built with a React frontend and a Node.js plus Socket.IO backend, persisting messages in MongoDB.
- Real-time WebSocket messaging with presence indicators
- JWT-based authentication
Microservices-based Hospital Management System using Spring Boot, Spring Cloud Eureka, JWT authentication, API Gateway, and a Next.js TypeScript frontend. It splits auth, patient, doctor, staff, discovery, and gateway routing into independent services, improving modularity and service separation over the earlier monolith.
- 6 independent microservices for auth, patient, doctor, staff, discovery, and gateway
- Spring Cloud Eureka service discovery plus API Gateway routing
