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