Henish Patel
CS + Data Science @ University of Utah (May 2027)
I build backend tools, data workflows, and applied AI systems.
Current work: self-hosted LLM infrastructure, RAG workflows, FastAPI services, and model evaluation.
Background
I am an engineering student pursuing dual degrees in Computer Science and Data Science at the University of Utah.
My technical foundation spans full-stack development, distributed data workflows, and applied machine learning. I am heavily focused on designing resilient backend architectures and deploying intelligent systems—whether that involves architecting secure, self-hosted LLM inferences, automating complex ETL pipelines, or building robust RAG architectures for internal data retrieval.
I am actively seeking Software Engineering, AI Engineering, and Data Science internship opportunities for Summer 2027 where I can contribute to mission-critical infrastructure and continue solving challenging technical problems.
Work History
AI Systems Intern
May 2026 – PresentManagement & Training Corporation
- Architecting a self-hosted AI inference stack with Ollama and Docker, deploying open-source LLMs for secure on-premise reasoning with zero external API exposure.
- Building retrieval-augmented generation (RAG) pipelines with vector embeddings to ground self-hosted models in internal documents, improving answer relevance with full on-premise data privacy.
- Designing evaluation harnesses benchmarking local model latency, accuracy, and resource utilization to accelerate retrieval and prompt iteration.
Full Stack Software Engineer
Oct 2025 – PresentmySpecSheet
- Architected an AI-integrated dashboard utilizing VSCode OSS and TypeScript; implemented custom LSP extensions to reduce developer context switching by 38%.
- Engineered a “vehicle-as-a-repo” architecture utilizing Merkle-tree versioning and MCP Servers for secure, immutable repair history and sandboxed data manipulation.
- Developed a WebSocket orchestration layer for real-time telemetry synchronization with sub-50ms latency; implemented OAuth2/RBAC ready for 1,000+ concurrent service nodes.
SUDO Software Platform Services Intern
July 2024 – April 2026University of Utah
- Optimized GIS geospatial indexing using React, Node.js, and R-trees, improving spatial data query performance by 27% and reducing client-side rendering latency by 140ms.
- Architected ServiceNow ETL pipelines to automate performance auditing, reducing processing time from 4 hours to 15 minutes and ensuring 100% data consistency across relational schemas.
Data Analyst Intern
May 2024 – August 2024University of Utah Health Facilities Management
- Led zero-downtime migration of legacy reporting workflows to AWS (S3, EC2) with MD5 checksum validation across 500GB+ datasets, ensuring total data integrity.
- Engineered modular ETL pipelines in Python (Pandas) automating reconciliation of 15,000+ monthly records.
Information Technology Support Staff
May 2023 – July 2024Weber State University
- Provided technical IT support and maintained campus computing environments, troubleshooting hardware and networking protocols.
Selected Projects
NVIDIA Grace-Blackwell DGX Spark Cluster
Built a DGX Spark Cluster utilizing ConnectX-7 200Gb/s interfaces and RoCE v2 (RDMA) for peer-to-peer GPU memory access, creating a unified 256GB+ VRAM pool. Utilized CUDA accelerated libraries to offload workloads, achieving 50x speedups.
Stripe Agentic Billing Extension
Used the Stripe V2 EventStream API to enable real-time, token-based monetization for autonomous agents. Implemented a Redis ZSET-backed event aggregator with Lua scripting to atomize credit burndown, reducing API overhead by 85%.
Formula 1 Race Prediction
Engineered a machine learning model predicting F1 race outcomes by analyzing historical telemetry, driver statistics, and weather data.
EPL Fixture Results Prediction
Built a predictive model forecasting English Premier League match results using advanced feature engineering and machine learning algorithms.
Image Editor & JSON Connectivity
Developed a full-stack application enabling comprehensive image manipulation with robust JSON-based state saving and network connectivity.
Technical Skills
Languages
AI / ML / Data
Backend & Infrastructure
Frontend & Tools
Certifications
- Google IT Automation with Python
- Google AI Agents Course
- Oracle Database SQL
- IBM Data Science Professional
- Generative AI Fundamentals
- NetQ Deployment and Installation
Curriculum Vitae
Download my complete resume to view my academic background, full project details, and comprehensive technical experience.
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