---
title: "Tushar Sharma - GenAI/ML Engineer in Pune District | Tal"
description: "Meet Tushar Sharma, GenAI/ML @ Ascendion | IIT Madras based in Pune District. AI stack includes codex and opencode."
image: "https://tal.club/meet/tushar-sharma-7/share-image"
---

# Tushar Sharma on Tal

## Headline

GenAI/ML @ Ascendion \| IIT Madras

## About

Data Professional with expertise in gathering, cleaning, and organizing data for both technical and non\-technical stakeholders\. Proficient in Predictive Modeling, Machine Learning, Deep Learning and Generative AI, demonstrating a comprehensive understanding of Data Science\. Proficient in deploying ML pipelines and models to production\. Highly organised, motivated, and diligent, leveraging a strong background in analytics to drive insightful and actionable results\. Committed to applying my skills and knowledge to contribute to the success of a company's mission\.

## Location

Pune District

## AI stack

codex

opencode

## Work experience

GenAI/ML Engineer at Ascendion, Jul 2024 \- Present · 2 yrs 1 mo, Pune, Maharashtra, India, Developed a high\-precision PDF table extraction pipeline using Microsoft’s Table Transformer and CRAFT OCR, achieving \~95% structural accuracy on complex, pivot\-style financial tables\. Designed and deployed a scalable Retrieval\-Augmented Generation \(RAG\) platform to surface critical policy insights from dense financial disclosure bundles \(e\.g\., Mastercard, VISA\)\. The solution integrated a Neo4j Knowledge Graph via LightRAG for semantic reasoning, a high\-throughput Haystack retriever with cross\-encoder reranking, and a prompt\-optimized GPT\-4 model — resulting in 4× faster insight generation with highly structured, context\-aware outputs\. Co\-developed resilient FastAPI microservices as part of a cross\-functional offshore team for a multi\-intent IVR system handling balance and statement inquiries\. The system streamed Gemini Flash 2\.0 responses via Vertex AI and Neo4j for real\-time user financial attribute context, achieving >90% classification accuracy and sub\-5s latency in Production\.

## Education

Bachelor of Science \- BS, Data Science and Applications, Indian Institute of Technology, Madras

Bachelor of Science \- BS, Electronics and Communication Technology, Chatrapati Sahuji Maharaj Kanpur University, Kanpur

[View the original profile](https://tal.club/meet/tushar-sharma-7)

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