Adam Gradzki


Tel: 301-785-1297

Residence: Bethesda, Maryland, USA

Work Authorization: US Citizen

Latest resume updates:


Adam Gradzki is a software engineer with experience in financial and computer vision model deployment in the cloud. His work leverages custom software development to automate business processes in the cloud to bring business value to finance teams, business analysts, and serve machine learning models to customers.

Highlights (chronological):

Adam graduated from the United States Army Intelligence Center of Excellence (USAICoE), the United States Army's school for professional training of military intelligence personnel. Here Adam learned to combine information from a vast collection of real-time feeds, including analyzed images, terrestrial sensor networks, and intercepted communications to assemble a comprehensive battlefield status report for senior leadership.

After leaving the Army Adam worked for the University of Pittsburgh Drug Discovery Institute to link clinical trial outcomes with performance of Lab-on-a-Chip (LOC) devices which allow for testing the effects of drugs in human organs without requiring human involvement. Adam led a team of 4 developers at SemanticMD to develop cloud computer vision dashboards (HTML and REST APIs) for chest x-ray and pathology slide self-service image upload, parsing, and viewing of arcane high resolution medical image formats such as DICOM and SVS for detection of tell-tale disease signatures within each image. After leaving SemanticMD Adam worked in a team of 5-15 developers and business analysts to implement international loss forecasting models into production at Capital One Financial Corporation.

Adam is authorized to work in the US for any employer.



Python, Pandas, Golang, Rust, QEMU, SSH, Vim, PyCharm, DataGrip, WebStorm, NumPy, Numba, SQL, Arch Linux, Ubuntu Linux, CentOS, AWS, Amazon Linux, EC2, RDS, Route53, Keras, Tensorflow, NumPy, SciPy, scikit-learn, scikit-image, Cython, OpenCV 3, Redis for caching, Pandas, Django, Mailgun, Flask, IPython, Jupyter, gunicorn, uwsgi, pytest, requests, toolz, psycopg2, asyncpg, asyncio, systemd, supervisord, zsh, bash, sh, matplotlib, VTK, Point Cloud Library (PCL), OpenSlide, Beautiful Soup 4, lxml, KVM VPS management, VirtualBox, VMware Workstation, VMware Fusion.


Organization: Swift Pace Solutions

Client Site: Capital One

Role: Python Software Developer, Data Engineering

Dates:  February 2019 - April 2020

References and Point of Contact: Ghan Shyam Singh, tel. 480-277-7974

References and Point of Contact: Roshan Poojari, tel. 571-424-0753

Tasks, Goals, and Accomplishments:

Organization: AGSK LLC

Role: Owner, Computer Vision Software Developer

Dates:  October 2017 - February 2019

Tasks, Goals, and Accomplishments:

Organization: SemanticMD

Role: Computer Vision Software Developer

Dates: September 2014 - October 2017

References and Point of Contact: Thomas DeSouza, tel. 503-267-1906

References and Point of Contact: Santosh Bhavani, tel. 281-816-5734

Tasks, Goals, and Accomplishments:

Managed a team of data scientists in the development of:

Wrote software in the development of:

Organization: University of Pittsburgh Drug Discovery Institute

Role: Python Web Software Developer

Dates: December 2013 - September 2014

References and Point of Contact: Human Resources Department, tel. 412-624-7000

Tasks, Goals, and Accomplishments:

Supported development of the Microphysiology Project Database Server, the web interface for University of Pittsburgh experiments under the the DARPA Microphysiology Project:

Organization: United States Army

Role: Intelligence Analyst (35F)

Dates: November 2011 - August 2013

Tasks, Goals, and Accomplishments:


Couponent: United States Army Reserve

Type: Enlisted

Rank at Discharge: Specialist

Military Occupation Code:  Intelligence Analyst (35F)

Dates: November 2011 - August 2013

Type of discharge: Honorable


Institution: Cochise College

Attendance Dates: May 2012 to July 2012

Degree Earned: Associate of Applied Science

Major: Intelligence Operation Studies