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Hi, I'm Harsh Rakesh Chauhan, currently pursuing my MS in Data Science at Indiana University Bloomington. I have a strong passion for AI and machine learning, particularly in developing innovative generative AI solutions to solve real-world problems. With hands-on experience in building predictive pipelines, fine-tuning large language models, and collaborating across teams, I enjoy turning complex data into actionable insights. Throughout my academic and professional journey, I've honed my skills in NLP, cloud services, and AI frameworks while working on various exciting projects. I thrive in fast-paced environments where I can leverage my technical expertise and creative problem-solving to make a meaningful impact.…Hi, I'm Harsh Rakesh Chauhan, currently pursuing my MS in Data Science at Indiana University Bloomington. I have a strong passion for AI and machine learning, particularly in developing innovative generative AI solutions to solve real-world problems. With hands-on experience in building predictive pipelines, fine-tuning large language models, and collaborating across teams, I enjoy turning complex data into actionable insights. Throughout my academic and professional journey, I've honed my skills in NLP, cloud services, and AI frameworks while working on various exciting projects. I thrive in fast-paced environments where I can leverage my technical expertise and creative problem-solving to make a meaningful impact.

Harsh Rakesh Chauhan

Data Scientist, AI Engineer, AI Strategy Consultant, +2

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Hi, I'm Harsh Rakesh Chauhan, currently pursuing my MS in Data Science at Indiana University Bloomington. I have a strong passion for AI and machine learning, particularly in developing innovative generative AI solutions to solve real-world problems. With hands-on experience in building predictive pipelines, fine-tuning large language models, and collaborating across teams, I enjoy turning complex data into actionable insights. Throughout my academic and professional journey, I've honed my skills in NLP, cloud services, and AI frameworks while working on various exciting projects. I thrive in fast-paced environments where I can leverage my technical expertise and creative problem-solving to make a meaningful impact.…Hi, I'm Harsh Rakesh Chauhan, currently pursuing my MS in Data Science at Indiana University Bloomington. I have a strong passion for AI and machine learning, particularly in developing innovative generative AI solutions to solve real-world problems. With hands-on experience in building predictive pipelines, fine-tuning large language models, and collaborating across teams, I enjoy turning complex data into actionable insights. Throughout my academic and professional journey, I've honed my skills in NLP, cloud services, and AI frameworks while working on various exciting projects. I thrive in fast-paced environments where I can leverage my technical expertise and creative problem-solving to make a meaningful impact.

Available to hire

Hi, I’m Harsh Rakesh Chauhan, currently pursuing my MS in Data Science at Indiana University Bloomington. I have a strong passion for AI and machine learning, particularly in developing innovative generative AI solutions to solve real-world problems. With hands-on experience in building predictive pipelines, fine-tuning large language models, and collaborating across teams, I enjoy turning complex data into actionable insights.

Throughout my academic and professional journey, I’ve honed my skills in NLP, cloud services, and AI frameworks while working on various exciting projects. I thrive in fast-paced environments where I can leverage my technical expertise and creative problem-solving to make a meaningful impact.

Skills

Experience Level

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Hindi

Advanced

Work Experience

AI/ML Research Assistant at Indiana University Bloomington

January 1, 2025 - Present

Developed generative AI solutions for creating synthetic patient records with a 92% reduction in hallucination using sophisticated zero-shot prompts combining role, system, and contextual techniques for LLMs. Leveraged Azure AI Foundry and OpenAI APIs within LangChain to automate context-aware text generation with high accuracy. Built a multi-stage predictive pipeline including HIPAA-compliant data ingestion and de-identification, from ML benchmarks to deep learning transformer encoders, culminating in fine-tuned Llama-based models. Fine-tuned BioClinicalBERT, DeBERTa, and Llama-3 models with LoRa and PEFT on over 1M patient records, improving accuracy by 35%. Led a team of three junior members analyzing misclassified cases to identify model errors and biases, improving performance by 15%. Developed Python dashboards for continuous model monitoring, visualizing F1-score and loss trends for targeted improvements.

Data Analyst at Human Reference Atlas Portal

May 31, 2024 - July 18, 2025

Led development of Power BI dashboards using Google Analytics data to analyze user behavior, improving user retention by 20% through targeted experience enhancements. Engineered optimized ETL pipelines for processing behavioral data, enabling deep analysis of user journeys and session interactions. Collaborated with UI/UX designers to reorganize homepage and improve the Exploration User Interface, boosting navigation and visualization tools and increasing user satisfaction by 15%.