---
title: "Rushikesh Chavan - Artificial Intelligence Engineer in Pune Division | Tal"
description: "Meet Rushikesh Chavan, Serving Notice Period | AI/ML Engineer BNY Mellon | IIT Madras M.Tech AI | GenAI · MultiAgent · RAG · LLM Fine-tuning | Production AI in fintech | Contributor at Analytics Vidhya, Medium | Expert codeforces | 5⭐️codechef based in Pune Division. AI stack includes antigravity a..."
image: "https://tal.club/meet/rushikesh-chavan/share-image"
---

# Rushikesh Chavan on Tal

## Headline

Serving Notice Period \| AI/ML Engineer BNY Mellon \| IIT Madras M\.Tech AI \| GenAI · MultiAgent · RAG · LLM Fine\-tuning \| Production AI in fintech \| Contributor at Analytics Vidhya, Medium \| Expert codeforces \| 5⭐️codechef

## About

ML Engineer with 3\+ years building production AI systems in financial services\. I build things real users depend on daily production systems at scale\. What I've shipped: → Multi\-agent MCP platform orchestrating 4\-5 AI agents across multiple data sources \(CrewAI/A2A\) → NL\-to\-Elasticsearch engine serving 800\-1000 wealth managers daily \(GPT\-4o \+ BERT embeddings\) → LLM fine\-tuning pipeline \- LoRA on Phi\-3 mini, \~95% accuracy on domain tasks → RAG systems for wealth management document retrieval → STT pipeline for financial call transcription and analysis I also write about how production AI systems work under the hood from reverse\-engineering Gemini's memory architecture to building custom evaluation metrics for LLM fine\-tuning with LLaMA\-Factory\. Links in Featured\. Currently pursuing M\.Tech in Artificial Intelligence from IIT Madras\. Competitive programming: Codeforces Expert \| CodeChef 5\-Star Stack: Python, PyTorch, LangGraph, CrewAI, MCP, RAG, LoRA, Elasticsearch, FastAPI, Docker Open to ML Engineer and Applied Scientist roles at companies building AI at scale\.

## Location

Pune Division

## AI stack

antigravity

claudecode

## Work experience

Artificial Intelligence Engineer at BNY, Jan 2024 \- Present · 2 yrs 8 mos, Fine\-tuning LLMs \(Phi\-3 Mini\) for Finance: Fine\-tuned Phi\-3 Mini with LoRA, enhancing financial query resolution in internal AI assistants\. Multi agentic system based on MCP\. NLP\-to\-ElasticSearch Query Converter: Developed a GenAI\-powered system for converting natural language queries into optimized ElasticSearch DSL queries, improving search accuracy and accessibility\. AI\-driven Regression Test Prioritization: Built an AI\-based test selection system using LSTM models and vector embeddings, reducing test execution time\. Embedding\-Based Similarity Search: Designed an optimized search engine for financial documents using FAISS\. Model Optimization: Worked on LoRA tuning, quantization, and retrieval\-augmented generation \(RAG\) for improving GenAI efficiency\.

Software Engineer at BNY, Jul 2023 \- Jan 2024 · 7 mos, Pune District, Maharashtra, India, Enterprise\-Scale Software Control Management Platform: Developed a deployment automation system using App Engine, enabling users to deploy multiple applications via a UI\. Optimized deployment time from 2 minutes to 54 seconds through parallel batch processing\. Tech Stack: Python, Flask, Google App Engine, Multithreading, Server\-Sent Events, Closure Built a WebSocket\-based Stock Price Ticker: Developed a NestJS playground with WebSockets to display real\-time stock prices based on ticker values\. Tech Stack: NestJS, WebSockets Kafka Management Tool Development: Built a Kafka admin tool for creating, deleting topics, and managing user permissions using Golang \(goroutines\)\. Tech Stack: Golang, Kafka, Goroutines Python Utility Development: Developed various Python utilities for handling CSV files, S3 storage \(using Boto3\), email automation, and other backend operations\. Tech Stack: Python, Boto3, S3, CSV Processing

SDE Intern at BNY, Jan 2023 \- Jun 2023 · 6 mos, Pune District, Maharashtra, India, Contributed to Wove, a one\-stop trading platform that suggests investment models to advisors based on client requirements using a rebalancer system\. Mail Processing & Notification System: Built an email automation system for handling trading notifications and updates\. Kafka Messaging System Development: Designed and implemented Java stubs for testing, allowing seamless message publishing and subscription to Kafka topics for real\-time event processing\. Tech Stack: Java, Spring Boot, MongoDB, Lombok, Swagger, PySpark, JMS, Kafka

problem curator at iMocha, Jul 2021 \- Jan 2023 · 1 yr 7 mos

## Education

Master of Technology \- MTech, Artificial Intelligence, Indian Institute of Technology, Madras

Bachelor of Engineering \- BE, Computer Engineering, Pune Institute of Computer Technology

## Public links

- github: https://github\.com/rushi\-02
- medium: https://medium\.com/@rushikeshchavan\_99600
- codeforces: https://codeforces\.com/profile/rushi\_30

[View the original profile](https://tal.club/meet/rushikesh-chavan)

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