Headline

Data Scientist @ Flutter Entertainment | Generative AI, RAG & LLM Engineering | Predictive ML & NLP | ex-Wells Fargo

About

Data Scientist with 4 years of experience building and deploying production-grade Generative AI and predictive ML solutions. At PokerStars (Flutter Entertainment), I work on RAG and LLM systems including a production Smart Knowledge Assistant for regulatory and compliance documents, where I built custom retrieval, evaluation frameworks, and access-control logic and I'm currently developing collusion detection for game integrity. Earlier, at Wells Fargo, I built NLP and predictive models that delivered real business impact, including an NLP automation framework that supported $10M in projects and a 60% efficiency gain, and classification models that informed leadership decisions. I work across both traditional ML and modern AI engineering: RAG, LLMs, NLP, evaluation, and cloud deployment on AWS and I enjoy taking systems from prototype to something people actually rely on. Always keen to take on new challenges in applied AI.

Location

Hyderabad

AI stack

antigravity

cursor

Work experience

Data Scientist at Flutter Entertainment, Jan 2025 - Present · 1 yr 8 mos, Hyderabad, Telangana, India, Working as a Data Scientist within PokerStars, part of Flutter Entertainment. - Building a rule-based collusion-detection system for game integrity, delivering an explainable MVP with ML-based detection planned for later stages. - Worked on the production Smart Knowledge Assistant (SKA), a RAG system for regulatory and compliance documents. Built a custom retrieval layer with structure-aware chunking and LLM-generated summaries to improve retrieval quality. - Developed a RAGAS-based evaluation framework in SageMaker with automated scoring and synthetic test-set generation to benchmark pipeline quality. - Implemented access-control logic enforcing InfoSec and RBAC requirements, so users only retrieve licence-applicable, role-appropriate content. - Prototyped a re-architecture of the RAG service from stateful to stateless async FastAPI, enabling horizontal scaling for higher concurrent load. - Built a GenAI tool (AWS Bedrock, Claude 3.7 Sonnet) to classify risk items and speed up risk review.

Quantitative Analytics Specialist at Wells Fargo, Jun 2023 - Jan 2025 · 1 yr 8 mos, Bengaluru, Karnataka, India · Hybrid, Data Scientist @ NLP team under Enterprise Analytics and Data Science (EADS) division. - Developed and deployed advanced NLP models across projects including check-fraud detection, call-reason identification, and text summarization. - Engineered an end-to-end NLP classification automation framework, supporting three projects valued at $10M and achieving a 60% efficiency gain. - Built a LightGBM classification model for customer call-reason identification with over 70% per-class precision, informing customer-engagement strategy. - Developed a Llama-2 summarization engine for call transcripts, cutting post-call QA review time significantly.

Quantitative Analytics Program Associate at Wells Fargo, Jun 2022 - May 2023 · 1 yr, Bengaluru, Karnataka, India · Hybrid, Program Associate @ NLP team under Enterprise Analytics and Data Science (EADS) division. - Built a reusable OCR and information-extraction framework for loan and policy document auditing, reducing manual audit time by 35% and mitigating institutional risk by 50%. - Worked on OCR and information-extraction projects using ML, NLP, and Python.

Teaching Assistant at Sai University, Jan 2022 - May 2022 · 5 mos, Chennai, Tamil Nadu, India, Served as a teaching assistant for the Python course.

Machine Learning Intern (Avail Finance acquired by Ola) at Ola, Sep 2021 - Dec 2021 · 4 mos, Bengaluru, Karnataka, India, - Improved loan risk predictions with 5% increase in F2 score. - Developed a spending analysis tool for categorized spending patterns across ~10000 merchants.

Data Science Intern at Micron Technology, Aug 2021 - Sep 2021 · 2 mos, Hyderabad, Telangana, India, Analyzed semiconductor dataset for defects modelling and outliers detection using statistical analysis and machine learning.

Education

MSc, Data Science, Chennai Mathematical Institute

BSc, Computer and Physical Science, Delhi University