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Experiment Wise
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Cincinnati
MS, Quantitative Analysis
January 1, 2010 – January 1, 2011
Osmania University
Bachelor of Engineering, Mechanical
January 1, 2002 – January 1, 2006
Hello Kooper
Founder
December 1, 2025 – Present
SAIC
Subject Matter Expert, AI
January 1, 2025 – December 1, 2025
Alexandria, Virginia, United States · Remote
SAIC
Senior Principal Engineer, Platform Engineering
April 1, 2023 – January 1, 2025
Alexandria, Virginia, United States · Remote
Partsimony
Head of Machine Learning
August 1, 2021 – April 1, 2022
New York, New York, United States · Remote
F Inverse
Fractional AI Engineer
May 1, 2019 – Present
Brambleton, VA · Hybrid
Syntasa
Artificial Intelligence Consultant
November 1, 2018 – May 1, 2019
Herndon, Virginia, United States · On-site
Syntasa
Lead, Product Innovation (Artificial Intelligence)
August 1, 2017 – November 1, 2018
Herndon, Virginia, United States · On-site
Syntasa
Senior Data Scientist
August 1, 2015 – August 1, 2017
Herndon, Virginia, United States · On-site
AdJuggler, Inc.
Data Scientist
March 1, 2012 – August 1, 2015
Alexandria, Virginia, United States
comScore, Inc.
Statistical Programmer
July 1, 2011 – March 1, 2012
Reston, Virginia, United States
University of Cincinnati
Analytics Consultant
January 1, 2011 – July 1, 2011
Cincinnati, OH
Infosys
Senior Software Engineer
August 1, 2009 – August 1, 2010
Infosys
Software Engineer
November 1, 2006 – August 1, 2009
LFD473: PyTorch in Practice
The Linux Foundation
June 24, 2026 – Present
Amazon Web Services Developer - Associate
Amazon Web Services (AWS)
June 24, 2026 – Present
Docker Administration and Operations
Docker, Inc
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across various companies (SAIC, Partsimony, Syntasa, AdJuggler) and roles (Founder, SME, Head of ML, Consultant) demonstrates adaptability and a broad perspective. Their involvement in greenfield initiatives and platform engineering, coupled with a history of building and managing teams, suggests a proactive and collaborative approach. The transition from a mechanical engineering background to a deep specialization in AI/ML also indicates a strong drive for continuous learning and embracing new challenges, which aligns well with innovative and fast-paced environments.
Soft Skills & Operational Fit
The candidate's resume indicates strong leadership, team management, and strategic planning skills through roles like 'Founder', 'Subject Matter Expert, AI', 'Senior Principal Engineer', and 'Head of Machine Learning'. Their experience in leading teams and driving product innovation suggests excellent operational fit and the ability to translate technical vision into practical solutions. The descriptions highlight problem-solving and the ability to work with diverse data sources and complex systems.