Hirenkumar Patel
I’m a Senior Engineer with 20+ years of delivering enterprise-grade software, specializing in Java microservices, React, Node, AI/ML integrations, and scalable cloud-native architectures.
I have designed and deployed production-ready AI platforms, including LLM-powered applications and Retrieval-Augmented Generation (RAG) pipelines, for industries such as fintech, healthcare, and SaaS.
With deep expertise in Java, Spring Boot, Kafka, LangChain, OpenAI, and vector databases (Pinecone, FAISS), I build high-performance, secure, and scalable systems. I’m fully aligned to US Eastern & Pacific time zones, ensuring smooth collaboration with distributed teams.
Key Skills: Java, Spring Boot, Kafka, LangChain, OpenAI API, Pinecone, RAG pipelines, AWS, GCP, Kubernetes, CI/CD, event-driven architecture.
📍 Base: India | Availability: Available for remote roles (EST/IST/CET)
REVIEWS FROM CLIENTS
- Built a Python FastAPI backend to proxy requests to an OpenAI-powered image generator.
- Integrated Stripe subscrip...
- Built a Python FastAPI backend to proxy requests to an OpenAI-powered image generator.
- Integrated Stripe subscriptions, user credit limits, and AWS S3 signed URLs.
- Used LangChain for prompt chaining + Pinecone for storing vector metadata.
- Designed a LangChain agent architecture to handle queries across documents, APIs, and vision models.
- Developed backend using FastAPI + Redis + Celery for async task routing.
- Integrated with OpenAI + Hugging Face APIs and deployed to AWS Fargate.
- Optimized REST APIs, improved GC tuning, and reduced API response time by 40%.
- Integrated Kafka + PostgreSQL + Redis for a high-throughput financial app.
1. AI-Enhanced Legacy OMS Chatbot
Integrated an AI-powered conversational assistant into a Java-based legacy Order Management System using Spring AI, LangChain4j, and MongoDB Atlas. Implemented function calling, context retention, and guardrails for secure order creation and retrieval.
Tech: Java 8, Spring Boot, LangChain4j, OpenAI API, MongoDB Atlas, RAG.
2. Real Estate Document Q&A Bot
Built a Google Drive-connected chatbot capable of answering questions from thousands of stored documents using LangChain + RAG + Pinecone. Integrated with authentication and role-based access control.
Tech: Python, FastAPI, LangChain, OpenAI, Pinecone, Google Drive API.
3. Bank CRM & Trade Analytics Platform
Architected an AI-driven CRM and trade analytics system using Python + Kafka + FastAPI, with RAG-enabled chat for customer and trade insights, plus compliance dashboards powered by Airflow, dbt, and AWS EKS.