Data Operations & Observability Engineer, currently keeping Apple TV’s global content pipeline observable. Taking blurry pictures in my free time.
Previously @ Epsilon, Dover Fueling Solutions & Sports Excitement.
M.S. Information Technology & Management @ UT Austin.
Built an adversarial AI court for production incidents, where Prosecution, Defense, and Judge LLMs argue each fix before a ruling. Rulings pass a Flink-enforced human veto window, then become Kafka precedents that future hearings must argue against. Developed at the Cursor Austin × AITX Hackathon as a successor to A.I.D.E., using Next.js, TypeScript, Claude structured outputs, Zod, and Supabase pgvector, with cases drawn from real Airflow and dbt failures.
Built for the Databricks Free Edition Hackathon — an ML and anomaly-detection model that analyzes used-car data, predicts market values with 89%+ accuracy, and surfaces high-profit flip opportunities. Developed an interactive analytics dashboard that reveals flip scores, risk levels, profit potential, and $20M+ worth of opportunities.
Built an AI tool to analyze logs locally, identify issues, and provide diagnostic reports. Utilized Llama models on Groq, implemented RAG with ChromaDB, and created visualizations with SciPy for enhanced analysis. Developed the initial prototype at the ATX Llama Hackathon hosted by Meta, where I used the Llama Stack for on-device intelligence.
Conducted comprehensive analysis of client habits, demographics, and marketing responses using different clustering techniques. Opted for Agglomerative Hierarchical Clustering, gaining deeper insights into distinctive customer segments.
Developed a Smart Air Quality Monitoring System using M5StickC Plus, AT6558 GPS, and SGP30 Gas Sensor, seamlessly integrated with Qubitro. Conducted live demonstrations with threshold alerts, showcasing the system’s ability to detect harmful gases.
A curated collection of moments captured through my lens. Dive into a world of vibrant landscapes and sleek rides, each shot infused with the energy and chaos of my imagination.
(the website you are currently on) Deployed website to IPFS using Fleek: https://black-frog-5099.on.fleek.co/ Uses JAM Stack - Javascript APIs Markup. Uses Hugo (theme PaperMod) to render Markdown pages. Vercel’s Serverless for APIs and loading badges with image-proxy. For analytics I use Panelbear.com.
Python code for implementing Encrypting File System (EFS) using Modular Key framework.
Extracted data of 10 drug cartel’s drug traffic activity spanning over 20 years. Analyzed shifts in their territory and impact over each state from 1989 to 2010.
Research Paper 📑 Correlation Viz Scrapped vital tweets of world leaders from a Tweet Archive and analyzed their financial impact on global stock markets. Applied several Data Visualization techniques to indicate the correlation between the two factors.