Colin Curtis Email & Phone Number

Durham, Nc, Us

Boston, Ma, Us

Data Science Platform and MLOps Chapter, AI/ML Solutions Engineering SquadWe write software, deploy machine learning (AI) models, and configure cloud services to enable enterprise-wide access to cutting-edge Artificial Intelligence solutions. • Systems and Tech: - C4 system design, SOLID coding, ICE product design – Python 3, docker, kubernetes – AWS: Sagemaker, Cloudwatch, ECR, S3, RDS – other platforms/tools: Splunk, Argo CD, Jenkins CI, Snowflake, Azure AD, jupyter NB - unittest and mock for testing • Project and Responsibilities Snapshot: – Created a SSO authentication flask application to wrap deployed data science web apps - Implemented JWT Authorization for AppMaker-supported applications – Code and deployment support for engineers and data scientists across squads/chapters – System design and code review – Database surgery and any other troubleshooting/fixing that needs doing

Working to bring the best care-provider recommendations in the world to scale with careful engineering. • Systems and Tech Stack:– Event-driven, micro-services architecture, RESTful (OpenAPI spec), cloud-native– Typical Layers: API, Daemon, Service, Model, Test– Python 3.11: connexion/flask, psycopg2, sqlalchemy, boto3, pytest, alembic, asyncio, behave– AWS: S3, EC2, ECR, EKR, Step Functions, Lambda, Cognito, Transfer Family, Secrets Manager – Infrastructure-as-code: Docker, Kubernetes, Terraform– pair-programming with GPT (davinci-003 model) in the openAI playground• Responsibilities:– Writing code for new features and bug fixes– Requirements gathering, feature planning, and project scheduling – Code review– System design– Dev-ops for the cloud-native system– Support/on-call rotations• Projects and Work Contributed:– Successfully designed and implemented a PGP decryption module for the file ingestion system(this system was composed of a set of AWS Step Functions kicked off by an AWS Lambda drivenby a microservice daemon when a client file was received in one of our S3 buckets)– Designed and implemented versioning of configuration files for transformation of ingested data– SQL (sqlalchemy) query optimizations– System testing of APIs and expected workflows using Behavior Driven Design (Given, When,Then) and the Python ’behave’ library– Application of Linear Algebra principles to database schema design (minimization of necessarydimensions and relationships)– Extensively reviewed code for other engineers with a high acceptance rate for my recommendedrevisions– Contributed to and revised Product Requirement Documents for engineering/management com-munications

Python Engineer focused on the architecture and implementation of (often web-based) applications for science and engineering. This includes use of Continuous Integration/Deployment (CI/CD) tools, cloud-based test suites, UI/UX, and back-end analysis using analytic, numerical, and machine learning techniques. Working at the interface of science and software to help move projects from in-situ to in-silico.Systems and Tech Stack:– Micro-services for on-premises-hosted, bespoke tire-design CAD and web applications – Python 3, react.js, numpy, logging, pytest, mongoDB• Projects and Work Contributed:– Designed and implemented a Dynamometer Dashboard for engine test data analysis at Ford Motors – Contributed to Bridgestone tire design CAD/analysis system written in Python 3 and React.js∗ Microservices architecture hosted using on-premises resources∗ Added ’overlays’ to the CAD system, allowing tire engineers to view a transparency of onetire design overlaid on to another∗ Refactored the automatic Excel report generation - tire engineers click a button in the CADsystem and the Python back-end generates a downloadable report∗ Converted and upgraded FMAT, a tire image analysis tool, from MATLAB to Python 3and introduced ’alpha-shapes’ computational geometry technique to improve the boundary estimates of complex 2-D shapes

- NIH National Center for Advancing Translational Sciences (NCATS) - Biomedical Data Translator Project - Green Team- Improved and maintained web APIs for biomedical data access (SaaS) using Distributed, Cluster computing- Automated creation of APIs based on large data files using 'Jinja2' scripting for Python- Accelerated data collection from APIs through use of concurrent I/O using 'asyncio' and 'concurrent'- Contributed analysis of large, graph-type data sets for rapid hypothesis generation in bioinformatics- Utilized Jupyter Notebooks, with Python3, to analyze data and visualize results in a modular, shareable format- Delivered effective, detail-oriented communications to multi-disciplinary teams both local and remote- Developed icees-client, now a pip module, to allow easy Python3 interfacing to ICEES clincal-data API- Performance tested APIs for high-concurrency request loads using 'JMeter'/'BlazeMeter' and 'Locust' - Worked remotely with a Computational Biologist, through Slack, to develop an algorithm for aggregating gene and tissue IDs and then finding ID co-occurrence patterns in that data (publication in planning stage)

Raleigh, North Carolina, Us

Recent Publications:- A comparative study of the nanoscale and macroscale tribological attributes of alumina and stainless steel surfaces immersed in aqueous suspensions of positively or negatively charged nanodiamonds. Curtis, Marek, Smirnov, Krim. Bellstein Jour. of Nanotribology. Published September 29, 2017Programming:- Designed Adaptive Statistical Analysis for Images (ASAI) taking a 30 minute task to 30 seconds per image- Python- MatLab- Nanoscale Surface and Particle Characterization- Analysis of Chemical and Physical bonding at the NanoscalePast Projects:- Electron-beam physical vapor deposition (EBPVD) of metallic films- Adsorption Isotherm data collection for nano-pore, high-surface area devices- Outreach including visits to local high schools and in-house lab tours (ORaCEL at NCSU)- Photo-thermal annealing of thin films with simultaneous spectroscopic temperature measurement- Layer-selective photo-thermal annealing of core-sheath fibers- Design and calibration of a Raman Spectroscopy system for later use in Collagen elasticity measurementsOther Instruments and Techniques:- Atomic Force Microscopy below 10nm feature-size- Macroscale Tribometer- Electrophoresis for nanoparticle size and electric potential characterization- Polarized Optical Microscopy- Fluorescence Microscopy- DSC- Spectrometers (with both CCD and PMT detectors)- Class III and class IV LASER systems (visible and infrared)- Laboratory Optics- Vacuum Chambers

Raleigh, North Carolina, Us

I oversaw introductory physics laboratory sections and problem solving sessions. The socratic method may frustrate the student temporarily but their learning the methods of inquiry are paramount!

Boone, Nc, Us

- North Carolina Biotechnology Center Undergraduate Research Fellow- Assisted in the design and implementation of a Raman Spectroscopy system with the primary goal of characterizing biological tissues during mammalian cervical remodeling.Instruments:- Optical bench- Liquid Nitrogen cooled CCD coupled to a variable resolution spectrometer- WinSpec software for analysis of CCD output- 785nm Diode Laser for excitation of virbrational modes in organic molecules

Master Of Science - Ms, Physics

B.S, Physics