Rushikesh Chavan

AI Researcher

Pune, Maharashtra, India3 yrs 3 mos experience

Highly StableAI Enabled

Key Highlights

Expert in fine-tuning LLMs for financial applications.
Proven track record in AI-driven solutions and NLP.
Active contributor to competitive programming and AI research.

Stackforce AI infers this person is a Fintech-focused AI Engineer with strong software development skills.

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Skills

Core Skills

Machine LearningNatural Language ProcessingSoftware Development

Other Skills

Fine-tuning LLMsNLP-based searchElasticSearchModel OptimizationAI-driven solutionsLoRALSTM modelsFAISSEmbedding-based searchDeployment automationWebSocketGolangPythonFlaskNestJS

About

Curious learner focused on clear thinking, structured problem solving, and applying capabilities to solve real-world challenges. I am a passionate AI and Data Science professional with a strong foundation in Machine Learning, Deep Learning, and Large Language Models (LLMs). With hands-on experience in fine-tuning models, optimizing inference pipelines, and building scalable AI solutions, I thrive at the intersection of research and real-world applications. Currently working as a Data Scientist at BNY , I specialize in developing AI-driven solutions for financial analysis, test case prioritization, and NLP-based search systems. I have led initiatives in GenAI model fine-tuning, embeddings-based search, and ElasticSearch query optimization. Beyond work, I actively participate in competitive programming (Codeforces Expert, CodeChef 5-star) and enjoy solving algorithmic challenges. I am also deeply involved in research and aim to contribute to top AI conferences like NeurIPS and ICML. 📌 Key Interests: Generative AI & NLP: Fine-tuning LLMs, prompt engineering, and retrieval-augmented generation (RAG) Deep Learning & Model Optimization: Efficient training techniques, LoRA, quantization, and distillation Software Development : FastAPI, Docker 🌍 Open to collaborations, research opportunities, and networking in AI and ML. Let’s connect and explore ways to innovate together!

Experience

3 yrs 3 mos

Total Experience

3 yrs 3 mos

Average Tenure

3 yrs 3 mos

Current Experience

Bny

3 roles

AI Engineer

Promoted

Jan 2024 – Present · 2 yrs 4 mos

Fine-tuning LLMs (Phi-3 Mini) for Finance: Fine-tuned Phi-3 Mini with LoRA, enhancing financial query resolution in internal AI assistants.
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.

Fine-tuning LLMsNLP-based searchElasticSearchModel OptimizationAI-driven solutionsMachine Learning+1

Software Engineer

Jul 2023 – Jan 2024 · 6 mos

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

Deployment automationWebSocketGolangPythonFlaskSoftware Development

SDE Intern

Jan 2023 – Jun 2023 · 5 mos

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

JavaSpring BootMongoDBKafkaSoftware Development