Available for work

Building Scalable LLMs, RAG Pipelines and GenAI Systemsfor Impactful Startups

Let's Build the Future of AI

About

Developing and deploying end-to-end AI solutions

Senior AI/Full-Stack Engineer (M.S. Data Science) specializing in LLM applications, RAG systems (LangChain), and time-series/NLP modeling. Designs and deploys scalable ML/GenAI platforms using Python (FastAPI) and TypeScript/Node.js, integrating retrieval, prompt orchestration, and evaluation to improve answer quality and consistency. Experienced with AWS (SageMaker, Lambda, EC2), automated delivery via CI/CD, and production ML stacks (PyTorch, TensorFlow, scikit-learn). that drive business value.

Years Experience

60+

Projects Completed

55+

Happy Clients

Awards Won

Experience

Jan 2024 ~ Dec 2025

AI/ML Engineer · Cardinal Health

Developed a real-time healthcare analytics platform.

Sep 2024 ~ Oct 2024

Machine Learning Engineer | AI Project Participation · iNeuron.ai

Developing an Machine Learning Model that uses most of the machine learning models.

Aug 2023 ~ Dec 2023

Data Scientist | AI/ML Engineer · OneMain Financial

Developed a real-time credit risk management system.

Jul 2019 ~ Jun 2022

Data Scientist | Python Developer · Ness Technologies

Developed a real-time fraud detection system using LSTM networks.

Aug 2017 ~ Jun 2019

Data Analyst · Tech Smart Solutions

Developed data models and mined data using Apache Hadoop and Hive.

Aug 2016 ~ Jun 2017

Data Analyst · Tech Smart Solutions

Developed a real-time sales data analysis system.

Selected Work

Featured Projects

Artificial IntelligenceRAGLangChainOllamaDeepSeek

Rag-WebUI

intelligent dialogue system based on RAG technology that helps build intelligent Q&A systems based on your own knowledge base.

Code

PythonAgentRAGmedical-imagingChatbotLLMGenAILangChain

MultiAgent Medical Assistant

GenAI powered multi-agentic medical diagnostics and healthcare research assistance chatbot.

Code

PythonAgentLLMVector DBChatbotComputer VisionGenAI

Ollama Chatbot

Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.

Code

Next.jsNode.jsBcryptMulterMongoDB

Pixora

comprehensive image sharing platform that combines the power of modern web technologies.

Code

Next.jsNode.jsdoctor-booking-systemMongoDB

Appointy

full-stack doctor appointment web app built with the MERN stack, featuring patient, doctor, and admin logins.

Code

APIFintechbankingbanking-apisconsumer-data

Australian Banking DB

ongoing collection of Open Banking Data APIs for Australian deposit taking institutions.

Code

View All Projects on GitHub

Expertise

Skills / Technologies

AI

LangChain88%

RAG Pipelines90%

LLM Orchestration85%

NLP88%

PyTorch80%

Tensorflow86%

NumPy87%

Frontend

React.js95%

Next.js90%

Tailwind CSS95%

TypeScript85%

JavaScript80%

Streamlit85%

Backend

Node.js98%

Python82%

PostgreSQL85%

FastAPI85%

REST APIs80%

Open API/Swagger80%

Express/Fastify80%

Others

Vector Search90%

Docker85%

Kubernetes84%

Git/GitHub90%

Agile Collaboration92%

AWS92%

Terraform/Pulumi92%

LangChainRAG PipelinesLLM OrchestrationNLPPyTorchTensorflowNumPyNext.jsTypeScriptJavaScriptTailwindCSSStreamlitNode.jsPythonPostgreSQLFastAPIREST APIsExpress/FastifyOpen API/SwaggerVector SearchDockerAWSGCPKubernetesTerraform/PulumiAgile Collaboration

What I Do

Expertise

LLM Development

Building scalable Large Language Model systems for complex, high-performance applications.

RAG Pipelines
LangChain
HuggingFace
MCP

Intelligent APIs

Developing high-performance, AI-powered APIs for seamless data processing and interaction.

FastAPI
Node.js
PostgreSQL
Redis

Multi-Agent Orchestration

Architecting advanced multi-agent AI systems with dynamic workflows and distributed tool ecosystems.

LangGraph
LangChain
Unicorn
Kafka

Cloud / DevOps

Deploying and scaling AI solutions using cloud infrastructure for high availability and efficiency.

AWS
GCP
Docker
Kubernetes

Testimonials

What Clients Say

"Best AI engineer I’ve collaborated with. Ajay combines research-level understanding with product intuition—making smart decisions on retrieval, prompting, orchestration, and cost/performance so the solution is both effective and sustainable."

Sarath Vajjaha

Manager, Cardinal Health

Contact

Let's create something amazing together

I'm always interested in hearing about new projects, creative ideas, or opportunities to be part of your vision. Feel free to reach out.

ajay.jagu@usa.com

Location

Hamden, Connecticut, United States