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Lead Full Stack Engineer with 8+ years in Cloud & AI/ML
Senior cloud-focused full-stack engineer with 8+ years of experience building scalable enterprise web, mobile, SaaS, and cloud-native products across fintech/insurance, e-commerce, education, and real-estate domains. Strong hands-on experience in AWS cloud engineering, AWS Lambda, API Gateway, S3, EC2, RDS, SQS/SNS, SES, Cognito, Route53, CloudFront, Docker, Kubernetes, Terraform, CI/CD pipelines, infrastructure management, and cloud operations. Backend expertise in Node.js, NestJS, REST/GraphQL APIs, PostgreSQL, MongoDB, and Python 3.x/FastAPI for AI and automation workflows. Practical exposure to Generative AI, LLMS, NLP, RAG, MCP concepts, LangChain, LangGraph, Mastra, AWS Bedrock, Ollama, and OpenAl for chatbot and agentic AI workflows.
Bengal Institute of Technology (MAKAUT)
MCA · Computer Applications
N/A – June 30, 2018
Vivekananda Mahavidyalaya (Burdwan)
BCA (Honours) · Computer Applications
N/A – June 30, 2015
Onebillionideas
Senior Full Stack Practitioner
September 1, 2023 – Present
Kolkata, West Bengal, India
Mass Software Solutions
Senior UI Developer / Frontend Lead
March 1, 2020 – June 1, 2023
India
Navsoft
Software Developer
December 1, 2019 – March 1, 2020
India
E-Celtic Consulting Pvt. Ltd.
MEAN Stack Developer
May 1, 2019 – December 1, 2019
India
SP Communication Pvt. Ltd.
Software Developer
February 1, 2018 – May 1, 2019
India
Wishgenie - AI Chatbot & RAG Platform
June 1, 2026 – Present
Built an AI chatbot and RAG workflow using Python FastAPI, LangChain, OpenAI, and MCP-based tool integration concepts for contextual question answering. Developed the application frontend using Next.js and React.js with chat UI, API integration, reusable components, and cloud-ready deployment structure. Structured backend services for API integration, prompt/RAG workflows, message history, and CI/CD-ready containerized development.
E-Commerce Platform API - Personal Project
June 1, 2026 – Present
Built REST APIs with Node.js/NestJS-style modular architecture, JWT/RBAC, Stripe payments, MongoDB, Redis caching, microservices discovery using Eureka, and API Gateway routing. Automated CI/CD using GitHub Actions; containerized deployment on AWS with Docker and DevOps-ready structure.
Snaphomz - Real-Estate Platform
June 1, 2026 – Present
Microservices with NestJS + GraphQL/REST APIs; Next.js/Angular front-end integration using Apollo GraphQL and secure API access patterns. AWS integrations: EC2, SQS, Lambda, SES, KMS, Cognito, Route53, CloudFront, ECR, RDS, API Gateway-style routing, and environment-specific infrastructure configuration. Implemented CI/CD, GitOps deployments on Kubernetes with Argo CD and GitHub Actions; supported Dockerized services, release workflows, debugging, and production performance tuning. AI/ML features: RAG with LangChain and VectorDB, Generative AI with AWS Bedrock, chatbots with message history using LangChain, LangGraph, Ollama, and OpenAI.
TheLunchBag - B2C Platform
June 1, 2026 – Present
Frontend lead on Angular + Ionic; implemented Stripe flows, security/ACL patterns, modular lazy loading, and performance-focused component architecture. Worked with event-driven microservices using SQS/SNS/RabbitMQ/Kafka; deployed on AWS EC2/S3/CloudFront and supported production release workflows.
Big Data with Hadoop and Spark
Databrio
June 1, 2026 – Present
PHP & MySQL Certification
Ejobindia
June 1, 2026 – Present
Python & Data Structure
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, spanning AI chatbots, e-commerce, and real-estate platforms, showcases adaptability and a broad interest in different domains. The consistent focus on full-stack development, cloud engineering, and DevOps aligns well with a dynamic, fast-paced engineering culture. The inclusion of personal projects also indicates initiative and a passion for continuous learning, which are positive cultural indicators.
Soft Skills & Operational Fit
The candidate's resume highlights leadership in frontend delivery, collaboration with backend and QA teams, and ownership of feature development from planning to delivery. This indicates strong operational fit, a proactive approach, and good team collaboration skills. Experience in production debugging and troubleshooting further demonstrates a robust operational mindset.