David Darling
@daviddarling
Senior AI/ML GenAI software engineer building reliable, low-latency model infrastructure.
United StatesWhat I'm looking for
I’m a Senior AI Software Engineer with 7+ years spanning Python, machine learning, software architecture, and research-driven product delivery. My work centers on GenAI-adjacent computer vision and end-to-end ML infrastructure—model deployment, evaluation, optimization, and debugging—backed by a Master’s degree in Computer Science.
At Acorns, I architected Python-based AI services that improved model release reliability by 30% by strengthening deployment, evaluation, and debugging workflows. I also reduced regression escape rate by 25% with script-based validation, cut latency by 40% through refactoring model-serving logic and batch tuning, and accelerated implementation decisions by 20% through rigorous design reviews.
I bring that same quality focus to research and engineering: I implemented facial privacy work, improving feature extraction accuracy by 18% using OpenCV, NumPy, and TensorFlow, and I built reproducible ML pipelines that reduced turnaround time by 45%. I’m energized by clear documentation, comprehensive testing, and cross-functional collaboration to translate complex technical decisions into dependable, shipped outcomes.
Experience
Work history, roles, and key accomplishments
Architected Python-based AI services, improving model release reliability by 30% by strengthening deployment, evaluation, and debugging workflows. Reduced regression escape rate by 25%, cut production latency by 40%, and decreased mean time to resolution by 35% through script-based validation, performance refactors, and incident triage using logs and service signals.
Graduate Research Assistant
University of Arkansas
Aug 2018 - Aug 2021 (3 years)
Built facial privacy computer vision pipelines, improving feature extraction accuracy by 18% using OpenCV, NumPy, and TensorFlow. Increased research iteration speed by 45% via reproducible ML pipelines and improved stakeholder understanding by 50% by translating complex findings into clear documentation and presentations.
Undergraduate Research Assistant
University of Arkansas
Jan 2018 - Aug 2018 (7 months)
Designed a scalable web-based scientific simulation service, improving oxDNA usability by 35% by building a Django backend and Angular frontend. Improved researcher workflows by 28% with enhanced 3D visualization controls and reduced page load time by 20% by refactoring request-handling logic, while cutting onboarding questions by 30% through updated user documentation.
Automated transmission project planning by scripting material list generation, reducing planning time by 50%. Improved quoting accuracy by 15% through standardized cost-estimation calculations and increased engineering throughput by 25% by deploying features that minimized manual stakeholder coordination.
Education
Degrees, certifications, and relevant coursework
University of Arkansas
Master of Science in Computer Science, Computer Science
2018 - 2021
Earned a Master of Science in Computer Science at the University of Arkansas (2018–2021).
University of Arkansas
Bachelor of Science in Computer Science, Computer Science
2015 - 2018
Earned a Bachelor of Science in Computer Science at the University of Arkansas (2015–2018).
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
Interested in hiring David?
You can contact David and 90k+ other talented remote workers on Himalayas.
Message DavidFind your dream job
Sign up now and join over 250,000+ remote workers who receive personalized job alerts, curated job matches, and more for free!
