About
I'm a Senior AI/ML Engineer with 8+ years building enterprise-grade backend systems and, more recently, production Generative AI solutions — RAG pipelines, LLM-powered agents, and cloud-native AI platforms — across banking, healthcare, and government domains. I care about the full lifecycle: understanding what a business actually needs, designing a solution that's technically sound, and shipping it as something reliable in production, not just a demo.
I'm currently pursuing an Executive M.Tech in AI & Data Science from IIT Patna (part-time, remote, expected Dec 2027) to deepen the theoretical foundation behind the systems I build, and I'm increasingly drawn to the client-facing side of AI delivery — translating technical depth into solutions people outside engineering can trust and act on.
Experience
Jan 2024 — Present
Senior AI/ML Developer · Infosys
Built enterprise GenAI solutions using AWS Bedrock, Knowledge Bases, and Retrieval-Augmented Generation (RAG) for document understanding, semantic search, and intelligent recommendations. Designed LLM-powered workflows for customer onboarding and KYC validation, integrating both AWS Bedrock and Azure OpenAI endpoints. Developed Python and Java (Spring Boot) backend services and REST APIs to orchestrate AI workflows, backed by PostgreSQL for workflow and metadata persistence. Led monolith-to-microservices migration, improving deployment agility and system scalability by 30%. Containerized and deployed workloads on Kubernetes, with infrastructure automated via Terraform and CI/CD pipelines. Implemented JWT-based authentication, RBAC, and compliance-driven API security standards.
- Python
- AWS Bedrock
- RAG
- LangChain
- Java
- Spring Boot
- PostgreSQL
- Docker
- Kubernetes
- Terraform
Oct 2021 — Dec 2023
Senior Application Engineer · Cognizant
Led secure cloud data migration of sensitive healthcare data from on-premise systems to Google Cloud Platform (GCP) for a US-based client, with primary focus on HIPAA compliance and protection of Patient Health Information (PHI). Collaborated with compliance teams to validate adherence to healthcare regulations, ensuring auditability and risk mitigation. Coordinated with US-based technical teams to validate data post-migration for downstream analytics. Designed and implemented event-driven architecture using Apache Kafka for real-time data processing. Built cloud-native microservices ensuring seamless inter-service communication and scalability. Developed asynchronous task scheduling systems for intelligent data flow automation.
- Java
- Spring Boot
- GCP
- Apache Kafka
- Microservices
- PostgreSQL
- Docker
Feb 2019 — Sept 2021
Application Engineer · Tata Consultancy Services
Developed backend modules using Spring and PostgreSQL to automate tax return processing, including large-scale VAT return workflows for a government client. Improved performance by 20% via optimized multithreading and JMeter-based load testing. Integrated Prometheus for performance monitoring and bottleneck detection.
- Java
- Spring
- PostgreSQL
- JMeter
- Prometheus
Jul 2018 — Jan 2019
Python Developer · Lets Nurture
Built a Python Flask-based geolocation service converting coordinates into human-readable location codes.
- Python
- Flask
Projects
GenAI Customer Onboarding & Personalization Platform
POC for Danske Bank — a GenAI-powered onboarding assistant using AWS Bedrock Agents. Built LLM-driven workflows for customer data collection, KYC validation, and product recommendations. Integrated AWS Knowledge Bases for context-aware responses and designed an end-to-end onboarding-to-fulfillment flow using microservices.
- AWS Bedrock
- LLM
- Microservices
- AWS Knowledge Bases
- GenAI
AI Mock Interview & Resume Analysis Platform
AI-powered platform to analyze resumes and generate role-specific interview questions. Integrated AI models to extract skills and experience from resumes, implemented LLM-based answer evaluation with structured feedback reports, and designed a complete workflow from resume upload to interview simulation.
- AI/LLM
- Resume Parsing
- Next.js
- TypeScript
RAG-Based PDF Q&A System
Developed a full-stack RAG-based PDF Q&A system using FastAPI, LangChain, FAISS, and OpenAI, with a visual pipeline interface to demonstrate chunking, embeddings, semantic search, and LLM response generation.
- FastAPI
- LangChain
- FAISS
- OpenAI
- RAG
Contact
I'm currently open to new opportunities. Whether you have a question, a project idea, or just want to say hi — my inbox is always open. I'll do my best to get back to you!