---
title: "Rohith Dharavathu - Data Scientist in Hyderabad | Tal"
description: "Meet Rohith Dharavathu, AI Engineer | LLMs · RAG · Agentic AI · LangChain · NLP · Python · AWS · Azure | Data Scientist @ HDFC Bank | IEEE Researcher | Patent Holder based in Hyderabad. AI stack includes antigravity, codex, and opencode."
image: "https://tal.club/meet/rohith-dharavathu/share-image"
---

# Rohith Dharavathu on Tal

## Headline

AI Engineer \| LLMs · RAG · Agentic AI · LangChain · NLP · Python · AWS · Azure \| Data Scientist @ HDFC Bank \| IEEE Researcher \| Patent Holder

## About

I build production\-grade AI systems — from LLM pipelines and RAG architectures to ML models serving 10M\+ users\. Currently at HDFC Bank as a Data Scientist in the WhatsApp Banking & Digital Journeys team — shipping customer segmentation, fraud detection, and personalization systems at scale across 40\+ segments\. 🔧 What I work with: LangChain · LangGraph · OpenAI APIs · RAG \(pgvector, knowledge graphs, tree\-sitter\) · Python · FastAPI · AWS \(EC2, Lambda, ECS, S3\) · Scikit\-learn · NLP · SQL 🏆 Highlights: • 3 peer\-reviewed papers — IEEE ICCCNT 2024, Springer ICACECS 2023, Scopus/Springer SSCI 2023 • Built NL\-to\-SQL engine from scratch — LLM planning, validation, retry logic, schema retrieval • Automated ML pipeline saving \~3 hrs/day of manual ops at HDFC Bank 🚀 Currently building: CodeSage — a codebase intelligence system for GitHub repo Q&A, PR review & doc generation using RAG \+ AST parsing \+ knowledge graphs Always open to connecting with people working on LLMs, applied ML, or AI infra\. 📩 rohith\.dharavathu\.112@gmail\.com

## Location

Hyderabad

## AI stack

antigravity

codex

opencode

## Work experience

Data Scientist at HDFC Bank Limited, Jan 2026 \- Present · 8 mos, Bengaluru, Karnataka, India, Building ML systems that power digital banking for 10M\+ monthly active users\. • Develop customer segmentation & behavioral ML models across 40\+ segments — enabling targeted digital campaigns and personalization on WhatsApp Banking • Designed an end\-to\-end automation pipeline for segment selection & API population — saving \~3 hrs/day of manual ops • Built fraud detection & risk scoring models — reduced false positive rate by 18% • Apply NLP and behavior analysis to drive personalization across digital banking channels — improved campaign CTR by 22% via A/B testing • Build Power BI dashboards tracking campaign KPIs and segmentation metrics for senior stakeholders Stack: Python · SQL · Scikit\-learn · NLP · AWS · Power BI · REST APIs · Feature Engineering

Software product developer at Trianz, Sep 2024 \- Jan 2026 · 1 yr 5 mos, Hyderabad, Telangana, India, Built production GenAI and cloud infrastructure systems — including an Agentic AI system that won an internal AI Hackathon\. • Built an Agentic AI system using LLMs & LangChain to generate personalized employee learning paths — internal AI Hackathon, Sept 2025 • Engineered AWS cloud infrastructure using Terraform & CloudFormation — GitLab CI/CD pipelines with blue/green deployments • Containerized microservices on ECS Fargate with full observability via CloudWatch & CloudTrail • Led cloud migration readiness assessments using AWS Migration Hub, EC2, S3, DMS & Lambda Stack: Python · LangChain · OpenAI APIs · FastAPI · AWS · Terraform · Docker · GitLab CI/CD · DynamoDB

Software Development Intern \(Computer Vision\) at GridCSP\.com, Jan 2024 \- May 2024 · 5 mos, Hyderabad, Telangana, India, Built a binary classification model \(Logistic Regression, Decision Tree\) to predict drug effectiveness in rheumatoid arthritis patients — improved precision/recall via cross\-validation & hyperparameter tuning • Conducted EDA, feature selection & data preprocessing on clinical datasets Stack: Python · Scikit\-learn · Pandas · Matplotlib · Seaborn

Machine Learning Intern at Enterprise Softlabs Pvt Ltd, Jan 2023 \- Mar 2023 · 3 mos, Hyderabad, Telangana, India, Built a binary classification model \(Logistic Regression, Decision Tree\) to predict drug effectiveness in rheumatoid arthritis patients — improved precision/recall via cross\-validation & hyperparameter tuning • Conducted EDA, feature selection & data preprocessing on clinical datasets Stack: Python · Scikit\-learn · Pandas · Matplotlib · Seaborn

## Education

Bachelor of Technology \- BTech, Artificial Intelligence, Amrita Vishwa Vidyapeetham

Intermediate, MPC, Bhashaym junior collage

[View the original profile](https://tal.club/meet/rohith-dharavathu)

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