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Avani Patle

@avanipatle

Associate Data Scientist specializing in LLM-powered automation, RAG pipelines, and ML/GenAI systems for real-world decisions.

India

Message

What I'm looking for

I’m looking to grow as a Data Scientist building production-ready GenAI/LLM systems—RAG, evaluation, and monitoring—alongside teams that value measurable impact, clean engineering, and fast iteration from research to deployment.

I’m an Associate Data Scientist focused on building GenAI systems that work reliably in production—especially LLM-powered automation for customer-facing and domain-specific workflows.

At ICICI Lombard, I architected and deployed an LLM-powered health insurance voicebot using STT/TTS and RAG over policy documents (FAISS), containerized with Azure Container Apps and Pipecat to enable 24×7 automated policy support and reduce agent call load.

I also designed an end-to-end Pre-Existing Disease (PED) extraction pipeline that processes call audio transcriptions to detect and timestamp PED declarations—cutting manual review time and mitigating premium leakage risk. Alongside delivery, I’ve done OCR and image/video intelligence research to enable better cross-team decision-making.

Previously, as a Quant Intern and Gen AI Research Intern, I built automated financial computations, developed event-driven mapping from breakouts to news events, and benchmarked 10+ LLMs by capability, pricing, and latency. My machine learning internship strengthened my applied engineering through OCR/ML-based invoice extraction and scalable FastAPI services.

Experience

Work history, roles, and key accomplishments

Current

Associate Data Scientist

Current

ICICI Lombard

Aug 2025 - Present (9 months)

Architected and deployed an LLM-powered health insurance voicebot with STT/TTS and RAG over policy documents, enabling 24×7 automated policy support and reducing agent call load. Built a PED extraction pipeline to detect and timestamp pre-existing disease declarations from call transcripts, reducing manual review time and mitigating premium leakage risk.

LLM RAG Faiss Azure OpenAI Azure Container Apps Pipecat Data Pipelines

Quant Intern

Orim Advisors Private Limited

Jan 2025 - Jun 2025 (5 months)

Automated volatility and quarterly split computations for 5,000+ listed companies to improve signal accuracy and built a model mapping stock breakouts in 150+ F&O stocks to news events for event-driven analysis. Developed a deterministic keyword extraction pipeline for 500+ financial documents and deployed scalable FastAPI applications for high-frequency query processing.

Algorithmic Trading Volatility Financial Document Processing Keyword Extraction fastAPI Python Data Pipelines

Gen AI Research Intern

Cornerstone Ventures

Jul 2024 - Sep 2024 (2 months)

Benchmarked 10+ LLM models across capability, pricing, and latency and produced structured evaluation reports to guide enterprise deployment decisions. Conducted market research across 10+ SaaS companies in healthcare and enterprise AI, performing TAM and opportunity analysis to identify scalable generative AI applications.

LLM Benchmarking Model Evaluation Generative AI Market Research Enterprise AI

Machine Learning Intern

SequelString AI

Jun 2024 - Jul 2024 (1 month)

Developed invoice extraction solutions using OCR and machine learning to automate financial data parsing and validation. Built automated email workflows adopted by 15+ internal users to streamline communications.

Computer Vision Machine Learning Document Processing Data Validation Python