I'm studying Computer Science and Data Science at the University of Utah, where I maintain a 3.57 GPA and expect to graduate in May 2027.
Hi, I'm Henish Patel.
Software Engineer · AI Systems Builder
University of Utah GPA 3.57
RESEARCH · BUILD · DEPLOY ·I build the systems that move AI from research notebooks into reliable, observable infrastructure.
About me
Computer science gives me a way to turn curiosity into working systems - and then keep asking how those systems can be faster, safer, and more useful.
I'm most energized by the path between a promising model and a dependable product: inference, RAG, evaluation, GPU-aware deployment, observability, and the backend architecture that lets research survive real workloads.
Beyond the terminal
Sports
I love the strategy, momentum, and shared energy of live sports - especially the Knicks, Giants, Real Madrid, and Chelsea.
Pickleball
My favorite way to compete, reset, and spend time with friends away from a screen.
Travel
New cities and cultures keep me curious and give me a wider lens for people, products, and problems.
Gaming
I game on the side - part strategy, part competition, and part appreciation for systems that feel great to use.
Technical toolkit
The languages, platforms, and tools I use to move from a model or idea to a system that can be tested, observed, and improved.
Languages
PythonJavaC++C#CJavaScriptTypeScriptSQLBashAssembly
AI, ML & Data
RAGLLMsPyTorchTensorFlowScikit-learnPandasNumPyChromaDBModel EvaluationData Visualization
Backend & Infrastructure
FastAPIDockerKubernetesOllamavLLMPostgreSQLRedisSQLiteAWS EC2AWS S3CI/CD
Frontend & Tools
ReactTailwind CSSGitGitHubVS CodeJupyterTableauPower BI
Experience
Work across AI infrastructure, full-stack engineering, data platforms, and technical operations.
Oct 2025 - Present
Full Stack Software Engineer
mySpecSheet
Building developer and diagnostic tooling around vehicle data, immutable state, MCP servers, and real-time telemetry.
Custom VS Code integrations reduced context switching by 38%, while a WebSocket orchestration layer delivered sub-50ms telemetry synchronization.
May 2026 - Aug 2026
AI Systems Intern
Management & Training Corporation
Built a private, self-hosted LLM stack with Ollama, Docker, FastAPI, ChromaDB, and PostgreSQL.
Benchmarked latency, throughput, retrieval quality, and quantization while keeping document and query data on internal infrastructure.
Jul 2024 - Apr 2026
Software Engineer Intern
University of Utah
Developed geospatial tools and data pipelines for faculty information and support systems.
Improved spatial-query performance by 27%, reduced client rendering latency by 140ms, and cut auditing workflows from four hours to 15 minutes.
May 2024 - Aug 2024
Data Analyst Intern
University of Utah Health
Automated facilities reporting and migrated large operational datasets to AWS.
Protected integrity across 500GB+ of records with checksum validation and automated reconciliation for 15,000+ monthly rows.
May 2023 - Jul 2024
Information Technology Support Staff
Weber State University
Supported campus hardware, software, networking, accounts, and device deployments across classrooms and labs.
Handled Tier 1 and Tier 2 support while creating knowledge-base material that helped reduce repeat issues.
Serverless Hybrid AI Cluster
Featured research and engineering: a 12-node local platform that routes agent tasks, model inference, and batch workloads across NVIDIA DGX Spark and Apple Silicon - without renting compute per request.
Read the benchmark briefMaster AINemotronrouting control plane
8×DGX SparkCUDA · vLLM · RoCE v2
4×Mac StudioMLX · MCP · Qdrant
- Nodes
- 12
- DGX fabric
- 100GbE
- Routing
- 24ms
- Operation
- 24/7
Leadership is knowing when to step forward - and when to make room.
I completed a four-year JROTC program at Utah Military Academy and served as a Cadet Major. It taught me that leadership is more than directing a team: it is spotting leadership in others, setting a clear standard, staying accountable, and knowing when the best move is to step back so someone else can lead.
Selected projects
Infrastructure first, then the data-science work that built my foundation in modeling, analysis, and visualization.
NVIDIA Hybrid AI Cluster
A 12-node local AI platform spanning DGX Spark and Apple Silicon for model routing, distributed inference, MCP workflows, and benchmark-driven optimization.
Stripe Agentic Billing Extension
A token-metered billing layer for autonomous agents with Redis event aggregation, Lua-based credit burndown, and idempotent PostgreSQL replay.
Model Deployment Operator
A Go Kubernetes Operator that turns a ModelDeployment CRD into inference services, autoscaling, benchmarking, observability, GitOps, and RAG-ready resources.
Inference Ops Platform
An actively developed OpenAI-compatible gateway and operations dashboard for real self-hosted inference, live events, latency analytics, failures, deployments, and node health.
Formula 1 Race Prediction
A machine-learning workflow using historical race data, driver performance, and weather features to explore race-outcome prediction.
EPL Fixture Prediction
Feature engineering and classification experiments for forecasting English Premier League results from historical match data.
House Rent Prediction
A notebook-based analysis that cleans housing data, explores the strongest pricing signals, and builds a rent-prediction workflow.
Languages
Fluent communication across the communities that shaped me.
- EnglishFluent
- HindiFluent
- GujaratiFluent
Certifications
- Google IT Automation with Python
- Google AI Agents Course
- Oracle Database SQL
- IBM Data Science Professional
- Databricks Generative AI Fundamentals
- NVIDIA NetQ Deployment and Installation
Let's build something that holds up in the real world.
Have a role, research problem, or infrastructure challenge?
[email protected]