About Me
Full Stack Software Engineer who designs and builds scalable, production-grade systems from the ground up. Strong individual contributor with proven experience leading cross-functional teams to deliver solutions at scale. Gen AI enthusiast passionate about integrating intelligent automation into enterprise applications.
JavaScript TypeScript Python C C++ SQL React Vite TanStack Query Zustand Redux Tailwind CSS Material UI Node.js Express.js FastAPI REST APIs WebSockets JWT Rate Limiting PostgreSQL MongoDB Redis AWS RDS DynamoDB TypeORM Sequelize AWS EC2 AWS Lambda AWS S3 AWS API Gateway AWS Amplify Docker Kubernetes Nginx Kafka AutoGen Agentic AI LangChain LangGraph OpenRouter RAG Fine-tuning Agents LLMs Git GitLab Postman
Projects
Experience
Associate Software Engineer
Gabriel & Co
- Led migration for Gemsocean by writing Python scripts for automated media pipeline to process 50K+ images to AWS S3, transitioning from SKU-based to BC item-based identifiers with performance optimization via streaming, batching, and controlled parallelism.
- Contributed to B2B website for Gabriel using Node.js, developing frontend and backend business logic for Gabriel University and BA goals modules, including simplified reward flow. Built job-based server scripts for Zoho CRM data synchronization with PostgreSQL.
- Engineered end-to-end Employee Management Tool (CBM) using React.js and Node.js/Express with PostgreSQL, implementing RBAC, custom RESTful APIs, and SendGrid API integration—reducing manual follow-ups by 40% for 500+ users.
- Built transcribing tool using OpenAI Whisper model with Python, enabling automated audio-to-text conversion for enterprise workflows.
Full Stack Engineer
Inventic AI
- Architected Inventic.ai V1 platform using Python and FastAPI, implementing transaction monitoring logic and constructing custom debugging tools. Integrated Agentic AI (AutoGen) APIs for intelligent negative news detection with enterprise-grade monitoring capabilities.
- Designed automated BRSR generation system for Black Rhino using Python backend, creating workflow that processes data through AutoGen agents to generate structured reports. Built FastAPI microservices with cronjob-based automated data fetching—reducing manual effort by 50%.
- Implemented RAG (Retrieval-Augmented Generation) pipelines and fine-tuning workflows for LLM models, enabling context-aware agent systems for intelligent document processing and analysis.
- Deployed production systems on AWS EC2 with Dockerized services and Nginx reverse proxy, ensuring high availability and scalable infrastructure.
Full Stack Developer Intern
Vitto Money
- Spearheaded loan processing system development including KYC, credit scoring via third-party APIs, and disbursement—achieving 40% reduction in processing time.
- Designed key features in scalable admin dashboard for Midland, enhancing user experience and contributing to 25% efficiency boost.
Education
B.Tech in Computer Science and Engineering
Government College of Engineering and Textile Technology, West Bengal
- CGPA: 8.68
Higher Secondary & Matriculation
Bongaon High School, West Bengal
- Intermediate: 96.8%
- Matriculation: 87.71%