Rohan Simha
Data Science Analyst @ Seattle Seahawks
About
I study Informatics and Data Science at the University of Washington, focusing on machine learning, data engineering, and building end-to-end systems. I have worked across the full stack, from data pipelines and backend APIs to training and deploying ML models, on projects involving LLM systems, RAG pipelines, and real-time data processing. Tech stack: Languages: Python, SQL, JavaScript, TypeScript, Java Frontend: React, Flask, HTML/CSS Backend: FastAPI, REST APIs, Microservices AI/ML: LLMs (OpenAI, Claude), RAG, LangChain, PyTorch, TensorFlow Infrastructure: PostgreSQL, MongoDB, Spark, Docker, AWS, Azure Selected work:Built motion detection systems, LLM-based feedback pipelines, RAG chatbots, schema validation frameworks, and scalable databases, owning everything from data ingestion to model deployment.Interested in:Data Engineering, Software Engineering, or Data Science/ML roles starting in 2026. Please feel free to reach out to rohans24@uw.edu!
United States
Greater Seattle Area
Information Technology & Services
Python (Programming Language), SQL, Large Language Models (LLM), JavaScript, Scikit-Learn, Data Analysis, Anthropic Claude, PyTorch, Next.js, Data Science, Applied Machine Learning, A/B Testing, Feature Engineering, Supervised Learning, Recommender Systems, Docker, OpenAI API, Causal Inference, LangChain, Flask
Experience

AI Software Engineering Intern
- Architected TypeScript agent system for AI persona and survey generation with configurable prompt engineering. - Built LLM benchmarking framework comparing GPT and Claude models across 8 prompt use cases with automated testing. - Developed scalable microservices architecture for persona management.

Data & AI Engineering Intern
Seattle, WA
- Implemented vector search and retrieval-augmented generation (RAG) pipelines on 700+ healthcare data sources using LangChain, FastAPI, and AWS Athena. - Shipped Python validation framework to detect schema drift across SQL/NoSQL migrations, cutting ~2 days from each release cycle. - Evaluated 24 healthcare Agentic AI use cases, contributing to integration strategies for client data platforms.

AI Software Engineering Intern
LaunchIQ.ai
- Owned an LLM feedback system that applied contextual reprompting to capture errors and improve product response accuracy by 20%. - Designed and deployed a multi-stage data pipeline with Pandas, PostgreSQL, and regression methods to structure LLM outputs. - Streamlined evaluation workflows that automated scoring of LLM responses, reducing manual review by 75%.

IT/Data Scientist Intern
Seattle, WA
- Engineered Flask-React web app with REST API endpoints for financial analysis, reducing time-to-insight from 2 hours to instant. - Applied predictive models with Scikit-Learn and PyTorch to 11,000+ PitchBook records, identifying 3 seed-stage investment predictors. - Presented growth trends through Tableau visualizations, supporting $20M+ in venture engagement across 25 startups.

Software Developer
Seattle, WA
- Deployed React.js web platform with component-based architecture and state management for healthtech diagnostics startup. - Engineered responsive UI components and integrated RESTful APIs for seamless data flow and real-time diagnostics visualization. - Recognized as finalist in 2024 Dempsey Startup Competition through technical demo showcasing full-stack implementation.

Machine Learning Researcher
Seattle, Washington, United States
- Researched fairness and responsible AI in UW’s Responsible AI Systems & Experiences (RAISE) Lab under the AI DRG program. - Co-developed a 10,000-sample dataset for knowledge-graph fact verification and bias reduction in large language models.

Software Development Engineer Intern
ConcertMate
- Designed full UI/UX architecture in Figma with component libraries and navigation flows optimizing user journey for social discovery - Implemented Flutter backend with Firebase Realtime Database, authentication services, and Cloud Functions for event coordination
Rohan Simha's Contact Information
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