Fabian Hough

About Fabian Hough

I\'m a Senior R&D Engineer with 6+ years of experience building and deploying ML/AI systems from research through production. I combine deep machine learning expertise with hands-on infrastructure engineering to solve complex technical challenges in resource-constrained environments.What I Do:I architect backend infrastructure and deployment pipelines for AI-powered systems. My work spans the full ML lifecycle—from developing reinforcement learning algorithms to designing production data pipelines, building REST APIs, and establishing deployment practices for on-premise installations with zero remote access.Technical Background:MS in Computer Science (Reinforcement Learning specialization)Expert Python developer (6+ years experience)Linux systems (daily driver since 2020)Production experience with Docker, PostgreSQL, Flask, GitLab CI/CDFirst inventor on US Patent for ML-based manufacturing controlPublished in on reinforcement learning for additive manufacturingWhat Makes My Experience Unique:At a small startup with a small team (3 members), I\'ve had to wear many hats—often being the person who establishes technical standards and deployment practices from scratch. This means I don\'t just follow playbooks; I write them. I\'ve designed infrastructure with constraints like \"zero remote access to client sites\" and \"get it right the first time,\" which forced me to think through every edge case and failure mode upfront.Current Focus:I\'m expanding my expertise in cloud platforms (AWS/Azure), Kubernetes, and MLOps tooling to transition from startup-scale infrastructure to enterprise-grade systems. My homelab serves as my learning ground—currently running Proxmox with multi-VM Docker deployments and custom networking configurations.What I\'m Looking For:I\'m seeking opportunities in R&D, MLOps, Platform Engineering, or Backend Infrastructure roles at companies building AI/ML systems at scale. I thrive in environments that value:Creative problem-solving over following established patternsFull-stack understanding over narrow specializationShipping working systems over perfect theoretical solutionsIf you\'re building ML infrastructure, deploying models to production, or establishing DevOps practices for AI systems, let\'s connect.Patents & Publications:US Patent - Systems, methods, and media for manufacturing Publication -\"Inferential Methods for Additive Manufacturing Feedback\" Open to opportunities in MLOps, Platform Engineering, and Backend Infrastructure Brooklyn, NY | Open to remote

Experience

1. Sr R & d Engineer

   Nanotronics

   Mar 2025 — Present · Brooklyn, NY, US

   Leading backend infrastructure and deployment engineering for AI-powered process control platform targeting semiconductor manufacturing. Responsible for data pipeline architecture, API development, and on-premise deployment strategy.Key Contributions:Architected PostgreSQL-based data pipeline for ingesting equipment logs and sensor data from semiconductor manufacturing systemsDeveloped Flask REST APIs serving ML inference results to Electron-based frontend applicationsDesigned Docker-based deployment strategy for on-premise installations with zero remote access requirementEstablished infrastructure standards and deployment practices for engineering team (no prior processes existed)Contributed 40% of total codebase with 100% ownership of backend and infrastructure layersTechnologies: Python, PostgreSQL, Docker, Flask, GitLab CI/CD, gRPC, SECS/GEM Protocol

Education

• NYU Tandon School of Engineering

  Master of Science - MS, Computer Science

  2018 — 2019

• Rensselaer Polytechnic Institute

  Dual Degree in Bachelor of Science, Mechanical Engineering and Design, Innovation, and Society

  2010 — 2014

Skills

• Git
• Magic
• Manufacturing
• Microsoft Excel
• Powerpoint
• Adobe Creative Suite
• Research
• Product Design
• Leadership
• Windows
• Teamwork
• Computer Literate
• C++
• Mechanical Engineering
• Indesign
• Github
• Photoshop
• Python
• Microsoft Word
• Programming
• Microsoft Office
• Machining
• Cello
• Engineering
• Solidworks
• Project Management
• Illustrator