
Patrick N
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Self Employed
ZZP • 4 yrs 2 mos
Founder & CEO - Company: Vectorial
Jul 2023 - Present • 3 yrs 1 mo
Vectorial is an AI engineering, consulting, and deep research company. In our AI Services Division, we dive in deep on your business to best understand how AI can improve efficiency and decision-making. We also build full-stack AI products and features, whether for your internal use, or for your customers. In our AI Research Division, we perform advanced ML research. We work on problems such as: • Applying Vision-Langauge-Action models (VLAs) to operate in 2D and 3D computer environments • ML architecture search via low-level evolution • Incorporating Large Language Models (LLMs) into automated algorithm search
Software Engineer - Company: Levatas
Jun 2022 - Jul 2023 • 1 yr 1 mo
Created platform to automate industrial inspections using drones and autonomous ground robots (e.g. Boston Dynamics’ Spot) • Implemented pipelining for processing and post-processing of all raw images and analyzed data • Migrated storage system from rudimentary JSON file storage to MySQL and Redis databases • Adapted platform to support alternative robotic solutions (e.g. drones) and for off-robot hosting using cloud/on-site servers • Improved execution time of several neural network models during robotic inspection missions, from ~7 seconds to milliseconds • Implemented “Drift Correction” computer vision algorithm to correct 100% of the 2.2% failure rate of robotic sensor pointing • Utilized open-source computer vision models to implement and integrate a People Detection model for our platform • Refactored dashboard to support database changes, filtering, CSV exports, multi-image thumbnails, and more features • Collaborated on-site and remotely with major corporations, such as Anheuser-Busch, GlobalFoundries, Praxair, etc. • Integrated our platform with their third-party systems (such as SAP and FabGuard) • Solved networking, configuration, and various other issues with clients’ autonomous robotic missions
Software Development Engineer
Amazon • Fulltime
May 2021 - Jun 2022 • 1 yr 1 mo
Designed software and architecture related to enriching trillions of records per day • Periodically served as “on-call” to resolve system errors and relevant customer issues at any time of day or night • Authored and presented large documents detailing problems, new projects, and potential optimizations for our services • Implemented parallelized database writing and proposed new cost structure for price-querying service • Reduced processing time by 91% (5 hours) and service database costs by over 50% ($8,000 annually) • Developed and executed scripts to safely transform and migrate billions of records to new NoSQL database • Created rollback scripts and documented high-risk possible scenarios and mitigation to avoid organization-wide downtime • Utilized multi-threaded reads and writes to bring execution time from several weeks down to 2-3 days • Prevented throttling issues by dynamically reducing reads and writes for different database partitions • Redesigned multiple workflow activities to allow batch processing of accounts
12 Reviews
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valle1113

Verenigde Staten
Patrick was great to work with! He helped take my AI development use case from an idea into something with a clear plan and the experience to execute it. Since I was not technical, he was able to walk me through every use case and why he made certain choices. He definitely has expertise across the AI...
furkatakasimov

Frankrijk
Patrick is awesome. Looking forward to next project with him.
jadencarrier

Verenigde Staten
Patrick's work was exceptional! His professionalism and attention to detail exceeded my expectations. Highly recommend!

giovannifranzan

Verenigd Koninkrijk
Smart, hard-working, open to feedback when needed.. SIMPLY couldn't recommend him more (!!)

giovannifranzan

Verenigd Koninkrijk
Would easily recommend one thousand times over !!! Diligent, hardworking and incredibly smart individual. Will most definitely try to hire him again in the future 💪👍

