I’m Justin, a n AI Engineer who’s been pushing the limits of tech for 14 years. I’ve worked across industries, from automotive to social media to consulting, and I’ve always been that person who loves turning complex problems into real-world solutions that actually move the needle. Whether it’s leading teams, building flexible AI systems, or optimizing cloud infrastructure for top companies like Tesla, Meta, and Cognizant, I’ve seen it all and done it all. From recommended systems that boost user engagement to fraud detection models saving millions in risk exposure, my focus is always on impact, how we can make things better, faster, and more efficient. I’m all about rolling up my sleeves, getting deep into coding (Python, Go, C++), cloud platforms (AWS, GCP, Azure), and ML Ops, but it’s the bigger picture that excites me, creating systems that scale, lead innovation, and deliver results that matter. I’ve led teams of engineers, designed AI-powered products from the ground up, and optimized everything from machine learning pipelines to cloud costs. And it’s not just the tech that drives me, it’s collaborating with people, mentoring others, and turning ambitious ideas into something tangible. With me, it’s about getting things done right, efficiently, and at scale. If you need someone who’s done the hard work, understands the big picture, and knows how to drive change in any industry, I’m your guy.

Justin Norsworthy

I’m Justin, a n AI Engineer who’s been pushing the limits of tech for 14 years. I’ve worked across industries, from automotive to social media to consulting, and I’ve always been that person who loves turning complex problems into real-world solutions that actually move the needle. Whether it’s leading teams, building flexible AI systems, or optimizing cloud infrastructure for top companies like Tesla, Meta, and Cognizant, I’ve seen it all and done it all. From recommended systems that boost user engagement to fraud detection models saving millions in risk exposure, my focus is always on impact, how we can make things better, faster, and more efficient. I’m all about rolling up my sleeves, getting deep into coding (Python, Go, C++), cloud platforms (AWS, GCP, Azure), and ML Ops, but it’s the bigger picture that excites me, creating systems that scale, lead innovation, and deliver results that matter. I’ve led teams of engineers, designed AI-powered products from the ground up, and optimized everything from machine learning pipelines to cloud costs. And it’s not just the tech that drives me, it’s collaborating with people, mentoring others, and turning ambitious ideas into something tangible. With me, it’s about getting things done right, efficiently, and at scale. If you need someone who’s done the hard work, understands the big picture, and knows how to drive change in any industry, I’m your guy.

Available to hire

I’m Justin, a n AI Engineer who’s been pushing the limits of tech for 14 years. I’ve worked across industries, from automotive to social media to consulting, and I’ve always been that person who loves turning complex problems into real-world solutions that actually move the needle. Whether it’s leading teams, building flexible AI systems, or optimizing cloud infrastructure for top companies like Tesla, Meta, and Cognizant, I’ve seen it all and done it all.

From recommended systems that boost user engagement to fraud detection models saving millions in risk exposure, my focus is always on impact, how we can make things better, faster, and more efficient. I’m all about rolling up my sleeves, getting deep into coding (Python, Go, C++), cloud platforms (AWS, GCP, Azure), and ML Ops, but it’s the bigger picture that excites me, creating systems that scale, lead innovation, and deliver results that matter. I’ve led teams of engineers, designed AI-powered products from the ground up, and optimized everything from machine learning pipelines to cloud costs. And it’s not just the tech that drives me, it’s collaborating with people, mentoring others, and turning ambitious ideas into something tangible. With me, it’s about getting things done right, efficiently, and at scale. If you need someone who’s done the hard work, understands the big picture, and knows how to drive change in any industry, I’m your guy.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Intermediate
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Language

English
Fluent

Work Experience

Lead AI Engineer at Cognizant
February 1, 2012 - October 1, 2016
Led a multi-disciplinary team of 12 engineers building end-to-end AI systems deployed on AWS & GCP, driving more than $12M in annual revenue. Architected enterprise document intelligence using LangChain with vector retrievers, reducing client processing costs by approximately $2.5M per year. Built data ingestion pipelines with Spark and Kafka, developed scalable ML workflows, and collaborated with product, compliance, and security teams to ensure secure, compliant deployments.
Senior AI Engineer at Cognizant
November 1, 2016 - December 31, 2022
Remote role focusing on CI/CD modernization, reliability improvements, and risk reduction in releases. Championed distributed logging & alerting (Splunk, Prometheus) and coordinated with cloud/infra teams to maintain secure, compliant systems. Projects included Automotive (Predictive Maintenance for Autonomous Vehicles), Social Media, Telecommunications, Retail, Gaming, and Media & Entertainment.
AI Engineering Lead / Principal AI Engineer at Various Clients (Remote / Self-Directed)
January 1, 2023 - Present
Developed and deployed AI/ML capabilities across multiple industries including Automotive, Social Media, Telecom, Retail, Gaming, and Media & Entertainment. Built real-time analytics dashboards, end-to-end model deployment pipelines, and AI-enabled content moderation and recommendations. Led cross-functional teams and established scalable ML tooling on AWS, Kubernetes, and containerized environments.
Lead AI Engineer at Cognizant
January 1, 2023 - Present
Led a multi-disciplinary team of engineers building end-to-end AI systems deployed on AWS & GCP, driving > $12M in annual revenue. Architected enterprise RAG document intelligence using LangChain + vectorized retrieval, reducing client processing costs by $2.5M/year. Designed data ingestion pipelines with Spark and Kafka, handling > 10TB daily for training ML models at scale. Managed a $5M cloud budget with FinOps cost reductions (25%) via quantization, GPU orchestration, and caching strategies. Built fraud detection models with Python and productionized via Kubernetes + Triton, mitigating ~$15M annual risk. Established company-wide governance for AI with model evaluation safeties and ethical ML workflows integrated into CI/CD. Implemented CI/CD + ML Ops automation to ensure repeatable, secure deployments across tenants. Integrated big data systems using Hadoop, Spark, BigQuery, Databricks, improving model training velocity by ~35%. Collaborated with product, compliance, and security t
Backend Engineer at Tesla
February 1, 2012 - October 1, 2016
Built high-throughput output telemetry engines (Python / Go) for >100k vehicles, lowering on-site service burdens by 20%. Shaped secured distributed infrastructure for OTAs, enabling global autopilot updates. Crafted scalable telemetry and in-vehicle data handling pipelines and contributed to cloud-enabled vehicle software ecosystems.

Education

Bachelor of Science in Computer Science at University of Houston
August 1, 2007 - May 1, 2011
Bachelor of Science in Computer Science at University of Houston
August 1, 2007 - May 1, 2011
Bachelor of Science in Computer Science at University of Houston
August 1, 2007 - May 1, 2011

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Gaming, Media & Entertainment, Telecommunications, Retail, Professional Services, Transportation & Logistics, Manufacturing