Open to opportunities

Hi, my name is

Anuj Patel.

Software Developer

I build data-driven solutions — from machine learning models to backend systems and applied AI products.

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Projects

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Certifications

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Articles

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Qualifications

Education

MS, Computer Science
2025 – 2027
University of Texas at Arlington
Specialization: AI & Cloud Computing
B.Tech, Computer Science & Engineering
2021 – 2025
PIEMR (Prestige), RGPV — Indore

Experience

Research Assistant
Feb 2026 – Present
University of Texas at Arlington
Software Developer
Jun 2024 – Jun 2025
RinaySoft, Pune
Python Intern
Apr 2024 – May 2024
Renuka Softec, India

Projects

A selection of AI, ML, and full-stack builds spanning agents, RAG systems, and applied machine learning.

AI/ML Lab

A modular platform for experimenting with LLMs, RAG pipelines, multi-agent systems and MCP/A2A protocols — bringing research-grade AI workflows into one place.

Python
LangChain
RAG
Agents
PyTorch

ChurnSense

Predicts customer churn from transactional data using RFM segmentation and an XGBoost model, surfacing at-risk customers for proactive retention.

SQL
Python
XGBoost
Scikit-learn

News Intelligence System

News Intelligence System

An incremental NLP pipeline that ingests news, embeds it with sentence transformers and summarizes emerging trends with LLMs served over REST APIs.

NLP
Sentence Transformers
OpenAI
FastAPI

AIExpense

AI-assisted expense management that parses receipts and auto-categorizes spending with the OpenAI API, secured with JWT auth on a Flask + MongoDB stack.

Flask
MongoDB
OpenAI
JWT

Graph-RAG arXiv

Graph-RAG arXiv

Graph-based Retrieval Augmented Generation over arXiv metadata using Neo4j traversal, multi-hop reasoning, and LLM-driven response synthesis via FastAPI.

Neo4j
FastAPI
LangChain
Graph-RAG

Multi-Agent Orchestrator

Multi-Agent Orchestrator

Multi-agent orchestration framework with standardized A2A protocol for autonomous agent communication, task routing, and structured message passing.

A2A Protocol
Multi-Agent
Python
Orchestration

Bill Extraction

Bill Extraction

A document-AI / OCR pipeline that automatically extracts structured fields from bills and invoices and exports them for downstream use.

OCR
Computer Vision
LLMs
Python

Certifications

NVIDIA Certified Professional Agentic AI badge

NVIDIA

Agentic AI Certified Professional

Verify on Credly

AWS Certified Generative AI Developer Professional badge

Amazon Web Services

Certified Generative AI Developer – Professional

Verify on Credly

Skills

Python

Python

C++

C++

Pandas

Pandas

NumPy

NumPy

TensorFlow

TensorFlow

PyTorch

PyTorch

OpenCV

OpenCV

Scikit-learn

Scikit-learn

Flask

Flask

Django

Django

FastAPI

FastAPI

Node.js

Node.js

Jupyter

Jupyter

Streamlit

Streamlit

Python

Python

C++

C++

Pandas

Pandas

NumPy

NumPy

TensorFlow

TensorFlow

PyTorch

PyTorch

OpenCV

OpenCV

Scikit-learn

Scikit-learn

Flask

Flask

Django

Django

FastAPI

FastAPI

Node.js

Node.js

Jupyter

Jupyter

Streamlit

Streamlit

MySQL

MySQL

MongoDB

MongoDB

PostgreSQL

PostgreSQL

Redis

Redis

AWS

Docker

Docker

Linux

Linux

Kubernetes

Kubernetes

Git

Git

GitHub

GitHub

LLMs

LangChain

HuggingFace

RAG

Agents

MySQL

MySQL

MongoDB

MongoDB

PostgreSQL

PostgreSQL

Redis

Redis

AWS

Docker

Docker

Linux

Linux

Kubernetes

Kubernetes

Git

Git

GitHub

GitHub

LLMs

LangChain

HuggingFace

RAG

Agents

Research & Writing

Peer-reviewed research and articles on applied AI, agents, and generative systems.

A Study on the Potential of AI in the Healthcare Sector

A Study on the Potential of AI in the Healthcare Sector

Peer-reviewed international journal paper examining how AI and machine learning can transform diagnostics, patient care, and clinical decision-making.

DeepSeek OCR: The AI Model Redefining How Machines See

DeepSeek OCR: The AI Model Redefining How Machines See

A deep dive into DeepSeek's OCR breakthrough and what it means for the future of document understanding and machine vision.

Gemini 3: Pushing Google Back to the Front of AI Innovation

Gemini 3: Pushing Google Back to the Front of AI Innovation

How Google's Gemini 3 reshapes the competitive landscape of frontier models and what its capabilities signal for applied AI.

Enter the Era of A2A: When AI Agents Start Talking to Each Other

Enter the Era of A2A: When AI Agents Start Talking to Each Other

Exploring agent-to-agent protocols and the emerging architectures that let autonomous systems coordinate, negotiate, and collaborate.

RAG vs CAG: The Hidden War Inside Generative AI

RAG vs CAG: The Hidden War Inside Generative AI

A comparison of Retrieval-Augmented and Cache-Augmented Generation — the trade-offs, the use cases, and where each one wins.

The 4 Types of AI Agents and Why They Matter More Than Ever

The 4 Types of AI Agents and Why They Matter More Than Ever

From simple reflex agents to learning agents — a practical taxonomy of AI agents and where each fits in real-world systems.

What's Next?

Get In Touch

I'm always open to discussing data-driven products, applied AI systems, or new opportunities. My inbox is always open.

anuj.patel.29dec@gmail.com

Schedule a Meeting Say Hello