{"count":6,"experience":[{"slug":"project-990","company":"Project 990","role":"AI Engineer","start":"2026-01","end":null,"summary":"Designing and productionizing a multi-stage LLM pipeline on HPC that generates mission statements for 175,000+ nonprofits from IRS Form 990-EZ data, powering downstream analytics and grantor–grantee matching.","tagline":"LLM pipelines on HPC, at 175k+ scale","highlights":["Designed and deployed a 3-stage LLM pipeline on HPC using Mistral-7B for generation and Gemma-7B for evaluation across 175,000+ nonprofits.","Built a fallback architecture integrating organization descriptions and grant-purpose data, raising mission-statement coverage from 50% to 93.5% across 163,700+ organizations.","Productionized the pipeline with Slurm job scheduling, fault-tolerant checkpointing, and a config/model-agnostic design for end-to-end automated execution."],"stack":["LLMs","HPC","Slurm","Mistral-7B","Python"]},{"slug":"math-tutor","company":"Indiana University","role":"Mathematics Tutor","start":"2026-01","end":"2026-05","summary":"Tutored undergraduate students in mathematics - breaking dense concepts into simple, workable steps, one student at a time.","tagline":"Teaching math, one concept at a time","highlights":["Tutored undergraduates across core mathematics courses, adapting explanations to each student's way of thinking."],"stack":["Calculus","Statistics","Problem Solving"]},{"slug":"ai-cybersecurity-research","company":"Indiana University","role":"Research Assistant - AI in Cybersecurity","start":"2025-06","end":"2025-12","summary":"Researched multi-agent reinforcement learning for autonomous cyber defense in the CAGE Challenge 4 environment - training and evaluating agents that detect and respond to threats.","tagline":"Multi-agent RL for cyber defense","highlights":["Applied, trained, and evaluated RL algorithms from Stable-Baselines3 and RLlib in a multi-agent reinforcement learning (MARL) environment, CAGE Challenge 4.","Designed reward-shaping strategies with additional reward signals to improve agent behavior, stability, and threat-detection performance in simulated adversarial scenarios."],"stack":["Reinforcement Learning","MARL","Stable-Baselines3","RLlib","PyTorch"]},{"slug":"methix","company":"Methix","role":"AI Developer Intern","start":"2025-06","end":"2025-12","summary":"Built an artist-management agentic AI system - a personal manager for music artists with retrieval, scheduling, and outreach capabilities on Azure.","tagline":"Agentic AI on Azure OpenAI","highlights":["Developed an agentic AI system using Azure OpenAI and LangChain with tool-use capabilities: RAG across 100+ documents, scheduling, and outreach.","Engineered the data retrieval layer for an AI search feature, writing SQL template queries to fetch and rank 200+ artist profiles against real-time user queries.","Optimized AI pipelines and deployments in Azure AI Foundry by analyzing usage and storage tiers, reducing production cost by 20% while maintaining reliability."],"stack":["Azure OpenAI","LangChain","Agentic AI","RAG","SQL"]},{"slug":"parallel-wireless","company":"Parallel Wireless","role":"Software Engineering Intern","start":"2024-02","end":"2024-07","summary":"Debugged and resolved production defects in React and TypeScript applications, and automated GUI validation with Jest - improving stability, coverage, and frontend performance.","tagline":"React/TypeScript debugging & Jest automation","highlights":["Debugged and resolved production software defects in React and TypeScript applications, improving reliability and user experience in an Agile environment.","Developed and maintained Jest unit-testing suites, improving application stability, test coverage, and frontend performance by 30%."],"stack":["React","TypeScript","Jest","Agile"]},{"slug":"krios","company":"Krios Info Solutions","role":"Data Science Intern","start":"2023-02","end":"2023-05","summary":"Built a retail demand-forecasting system over 5+ years of daily sales data for 300+ SKUs, with Power BI dashboards that turned forecasts into stakeholder decisions.","tagline":"Sales forecasting & Power BI dashboards","highlights":["Cleaned and transformed 5+ years of daily sales data for 300+ SKUs using Python and Pandas into a model-ready dataset for demand forecasting.","Improved forecasting accuracy by 10% through ensemble architectures and hyperparameter tuning via cross-validation and grid search.","Designed and maintained 5+ interactive Power BI dashboards visualizing sales trends, seasonal patterns, and forecast accuracy for stakeholders."],"stack":["Python","Pandas","Power BI","Time Series"]}]}