Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I'm Nainesh Rathod, a passionate Machine Learning Engineer and Data Scientist currently completing my Master of Science in Data Science at Indiana University Bloomington. I specialize in building large language model powered research assistants, fine-tuning state-of-the-art AI models, and developing scalable machine learning pipelines to accelerate research and operational efficiency. With hands-on experience in deploying AI solutions in healthcare, computer vision, and NLP applications, I have a strong background in cloud-based MLOps, model optimization, and software engineering. I'm excited to contribute my expertise to innovative projects and open to relocating for the right opportunity.…Hi, I'm Nainesh Rathod, a passionate Machine Learning Engineer and Data Scientist currently completing my Master of Science in Data Science at Indiana University Bloomington. I specialize in building large language model powered research assistants, fine-tuning state-of-the-art AI models, and developing scalable machine learning pipelines to accelerate research and operational efficiency. With hands-on experience in deploying AI solutions in healthcare, computer vision, and NLP applications, I have a strong background in cloud-based MLOps, model optimization, and software engineering. I'm excited to contribute my expertise to innovative projects and open to relocating for the right opportunity.

Nainesh Rathod





Hi, I'm Nainesh Rathod, a passionate Machine Learning Engineer and Data Scientist currently completing my Master of Science in Data Science at Indiana University Bloomington. I specialize in building large language model powered research assistants, fine-tuning state-of-the-art AI models, and developing scalable machine learning pipelines to accelerate research and operational efficiency. With hands-on experience in deploying AI solutions in healthcare, computer vision, and NLP applications, I have a strong background in cloud-based MLOps, model optimization, and software engineering. I'm excited to contribute my expertise to innovative projects and open to relocating for the right opportunity.…Hi, I'm Nainesh Rathod, a passionate Machine Learning Engineer and Data Scientist currently completing my Master of Science in Data Science at Indiana University Bloomington. I specialize in building large language model powered research assistants, fine-tuning state-of-the-art AI models, and developing scalable machine learning pipelines to accelerate research and operational efficiency. With hands-on experience in deploying AI solutions in healthcare, computer vision, and NLP applications, I have a strong background in cloud-based MLOps, model optimization, and software engineering. I'm excited to contribute my expertise to innovative projects and open to relocating for the right opportunity.

Available to hire

Hi, I’m Nainesh Rathod, a passionate Machine Learning Engineer and Data Scientist currently completing my Master of Science in Data Science at Indiana University Bloomington. I specialize in building large language model powered research assistants, fine-tuning state-of-the-art AI models, and developing scalable machine learning pipelines to accelerate research and operational efficiency.

With hands-on experience in deploying AI solutions in healthcare, computer vision, and NLP applications, I have a strong background in cloud-based MLOps, model optimization, and software engineering. I’m excited to contribute my expertise to innovative projects and open to relocating for the right opportunity.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Afar

Advanced

Work Experience

Machine Learning Engineer (Research) at Kelley School of Business (Indiana University)

May 1, 2025 - August 18, 2025

Built an LLM-powered Retrieval-Augmented Generation (RAG) research assistant using LangChain and LangGraph, enabling faculty and researchers to query over 10,000 legal publications and extract insights 10 times faster, reducing literature review time by 70%. Enhanced productivity by 50% through fine-tuning Llama 3.1 (70B) with GPU-accelerated training and achieved 85% ROUGE score on downstream QA and summarization tasks. Reduced LLM hallucinations by 68% via advanced fine-tuning techniques and prompting strategies. Integrated conversational memory with Redis and PostgreSQL to track chat history, saving researchers 50% of their time by eliminating context repetition.

Machine Learning Engineer Intern at Hyphenova Network

November 1, 2024 - August 18, 2025

Optimized a BERT model for sentiment analysis on over 50GB of song lyrics data, achieving 85% accuracy and aiding targeted social media campaigns that boosted user engagement by 25%. Designed and deployed a CI/CD-enabled MLOps pipeline on AWS integrating MLflow and Docker, reducing deployment time drastically. Developed a computer vision content moderation pipeline using YOLOv10 and Vision Transformers, achieving 93% F1 score and halving manual moderation time, saving 20 hours weekly.

Software Developer at Sanskritech Smart Solutions

July 1, 2023 - August 18, 2025

Led development of a real-time, fault-tolerant data pipeline with Apache Kafka and Docker for health data processing from thousands of remote kiosks, achieving zero data loss and 99% data integrity. Automated deployments via a CI/CD pipeline built with Jenkins, Docker, and Kubernetes, reducing manual deployment time over 90% and enabling zero-downtime rolling updates on AWS. Created a clinical analytics dashboard combining Flask, PostgreSQL, and Reactjs, saving 10 minutes per patient for medical staff. Designed monitoring and alerting dashboards in Splunk, reducing mean time to resolution of production issues by 40%.