DATA SCIENTIST & AI ENGINEER

Building intelligent systems
that transform data into impact.

I specialize in Generative AI, NLP, and Big Data analytics. From GPT-4 assistants querying 700M+ records to automated pipelines with 90%+ accuracy — I build AI that delivers real business value.

700M+ Records Queried

90%+ Model Accuracy

80% Effort Reduced

Get In Touch View Work

About Me

Data Scientist specializing in Generative AI, NLP, and Big Data. I build "Agentic" systems that don't just chat—they orchestrate complex business logic at scale.

From querying 700M+ records at Citigroup to reducing scoping latency by 80% at Lilt, I focus on the intersection of high-performance engineering and human-centric AI design.

GPT-4o / Gemini Temporal / MLOps Hadoop / Spark FastAPI / Docker

I believe in shipping fast, iterating constantly, and always keeping the end user in mind.

Core

Python SQL GPT-4 Gemini NLP ML

Big Data

Hadoop Spark Impala

MLOps

FastAPI Docker CI/CD GCP

Experience

Agentic Analyst

Lilt | Oct 2025 – Present

Engineered GPT-4o intelligence layer for metadata extraction, cutting manual effort by 80%.
Built "Zero-Touch" Temporal pipelines reducing process latency by 60%.
Developed LLM Quality Agents with 90%+ alignment to human experts.

Data Scientist

Leobrix (Sept 2024 – Sept 2025)

Citigroup (Savant): Text-to-SQL for 700M+ records; integrated GPT-4 & Gemini while cutting hallucinations by 40%.
Citigroup (Agent Assist): Automated QA for 5M+ weekly transcripts; ensured Fair Lending & AI Guardrails compliance.
CAGL: Built GenAI bot using Postgres + pgvector for semantic search and automated reporting.
Stack: Python, Spark, Impala, DTO pipelines, Docker, bitbucket CI/CD.

Graphic Designer

INPAC TIMES | Jan 2024 – Mar 2024

Designed 15+ graphical templates, boosting user engagement by 78%.
Applied User-Centric Design principles with Adobe Illustrator & Canva.

Projects

✈️

Bird Strike Analysis

Analyzed 59K+ aviation incidents. Built Tableau dashboards for safety teams.

Python Tableau Data Analysis

❤️

Heart Disease Prediction

ML model predicting cardiovascular risk with 85% accuracy.

Python Scikit-learn ML

Field Intelligence

ACADEMIC

Bachelors of Computer Application

AMC College, Bangalore University | CGPA: 7.6

VALIDATION

◈ Microsoft: Discover Data Analysis
◈ Google: Analytics Indv. Qualification
◈ HackerRank: Python & SQL (Gold)

Building intelligent systems that transform data into impact.