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What I Do

Data & ML Infrastructure

Data pipelines, GPU/ML platform work, and backend systems — from ingestion through model serving.

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DevOps / CI/CD

Self-hosted CI/CD infrastructure, containerized deployments, and cloud infra (AWS/GCP).

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Technical Consulting

Scoping new systems, choosing the right tools, and getting a team unstuck.

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Background

Coordinator, LLC
Coordinator, LLCLead Engineer (Contractor)March 2026 - September 2026
  • Multi-sport LLM fine-tuning pipeline (football, basketball, hockey, golf, endurance) on H100 GPUs: corpus curation, two-layer training architecture, continuous feedback-retraining loop, quantization for vLLM serving
  • Built self-hosted CI/CD infrastructure for the end-to-end test suite: serial vs. parallel job split, switched LLM backend to cut per-run cost
  • Self-hosted GPU voice pipeline (Whisper STT; benchmarked and swapped TTS engines for latency and compatibility), later shipped as production voice messaging (STT/TTS via OpenRouter) in the web app
  • Video/VLM pipeline: Qwen3-VL and Cosmos-Reason2 inference for at-the-snap play/formation detection; iteratively tuned confidence thresholds and frame preprocessing; clip/frame storage on MinIO + Postgres
  • Wearable sensor data pipeline (IMU wrist prototype) for athlete movement tracking, plus swing-video pose-estimation analysis
  • Third-party data-access gateway (scoped, revocable tokens) evolved into an app store: template registry, per-app data storage, 3-way merge reconciliation for template updates
Ralli
RalliFounderJanuary 2025 - October 2025
  • Built ETL pipelines ingesting live and historical odds, player props, and stats from third-party sports APIs (The Odds API and others) into a normalized Postgres (Supabase) data store
  • Designed data model and ingestion cadence supporting a real-time fantasy sports and social betting product
  • Sole engineer scaling data infrastructure and product from part-time to full-time (July 2025)
Turbin3
Turbin3Head of Special ProjectsMay 2024 - July 2025
  • Taught multiple classes across the Solana stack: 101, frontend, Advanced Solana, and building products
  • Traveled globally delivering talks to new engineers entering the space
Trustless Engineering
Trustless EngineeringML EngineerApril 2024
  • Built Kubernetes deployments (ArgoCD) and ML infrastructure
  • Used Datadog for observability across deployments
Lancer
LancerChief Technology Officer2022 - October 2023
  • Developing MVP for a GitHub extension which allows contributors to be paid immediately on feature merge
  • Designing smart contract involving a double escrow system, enabling projects to be funded and developed autonomously and collaboratively
  • Creating relationships with future clients and partners to accelerate the development of the Lancer platform
  • Formulating pitch deck to raise a seed round for 18 months of runway
Applied Intuition
Applied IntuitionSoftware Engineer2020-2021
  • Developed (full stack) intranet for managing developers, teams, and customers, vastly improving efficiency of all employees
  • Helped close multiple million dollar deals through creation of a license dashboard demonstrating client product usage trends
  • Improved average customer support response time from > 1 day to < 1 hour through creation, automation, and maintenance of custom Zendesk solution
University of Maryland, College Park
University of Maryland, College ParkBachelor's - Computer Engineering2016-2020
  • GPA: 3.93
  • QUEST Honors program focused on business and technology collaboration for solving complex design challenges
Hydraze
HydrazeChief Technology Officer2019-2020
  • Designed a novel IOT automatic toilet flushing system that eliminates unnecessary flushes and enhances water conservation, potentially saving facilities thousands of dollars annually
  • Developed IOT network with a Raspberry Pi central node which communicates with multiple Arduino micro-controllers attached to toilets and stalls enabling autonomous flushing and data collection
  • Created a novel facilities management platform which allowed managers to view bathroom data and device battery levels
Amazon Web Services - Dafny
Amazon Web Services - DafnySoftware Development Engineer Intern2019
  • Enabled mathematical verification of AWS products through compilation from Dafny to Java

Skills

Data / Backend

Python
90%
SQL
85%
Postgres
85%
ETL / ELT Pipelines
85%

ML / GPU Platform

GPU / CUDA Pipelines
80%
Model Fine-Tuning
80%
vLLM Serving & Quantization
75%
Computer Vision / VLMs
75%
Vector Search & RAG
70%

DevOps / Cloud

Docker
80%
Kubernetes
55%
CI/CD
80%
AWS
80%
GCP
70%

Frontend

TypeScript
85%
React
80%
Styling
90%

Contact Me

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Jack Sturtevant

I'm open to new data engineering and ML platform roles. Put some time on my calendar if you'd like to talk.