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Software Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Carnegie Mellon University
MS, Computational Finance
N/A – Present
Moscow Institute of Physics and Technology (State University) (MIPT)
MS, Applied Mathematics
N/A – Present
High School 444
Physics & Mathematics
N/A – Present
NVIDIA
Principal Software Engineer
October 1, 2021 – Present
Bloomberg LP
Senior Software Engineer, AI Platforms
January 1, 2019 – September 1, 2021
Bloomberg LP
Senior Software Engineer, Machine Learning R&D
January 1, 2014 – January 1, 2019
Bloomberg LP
Senior Software Engineer, Fixed Income R&D
January 1, 2010 – January 1, 2014
Morgan Stanley
VP, Credit Strategies
January 1, 2007 – January 1, 2010
New York, NY
Morgan Stanley
AVP, Model Library Group
January 1, 2005 – January 1, 2007
New York, NY
Credit Suisse
AVP, Global Modeling and Analytics Group
January 1, 2004 – January 1, 2005
New York, NY
Credit Suisse
AVP, Derivatives IT
January 1, 2001 – January 1, 2004
New York, NY
Automated Office Systems Inc.
Lead Developer
January 1, 1997 – January 1, 2001
Lynbrook, NY
Merrill Lynch
Associate
January 1, 1996 – January 1, 1997
New York, NY
Neuromedical Systems Inc.
Software Engineer
January 1, 1993 – January 1, 1996
Suffern, NY
Visual Perception for Self-Driving Cars
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Deep Neural Networks with PyTorch
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning finance, machine learning, and autonomous vehicles, indicating adaptability and a broad interest in complex technical domains. Their long tenure at Bloomberg LP and Morgan Stanley suggests loyalty and ability to thrive in large corporate environments. However, the target role of 'Data Analyst' might be a significant down-leveling from their 'Principal Software Engineer' and 'VP' roles, potentially leading to a mismatch in expectations or underutilization of their extensive software engineering and leadership experience. While they have strong analytical skills, the direct alignment with typical 'Data Analyst' responsibilities (e.g., dashboarding, specific BI tools) is not explicitly detailed in their resume, which could be a cultural fit challenge if the role is not heavily focused on advanced ML/quant analysis.
Soft Skills & Operational Fit
The candidate's extensive experience in R&D and lead developer roles suggests strong problem-solving, analytical thinking, and leadership skills. Their work on company-wide ML and NLP frameworks at Bloomberg indicates an ability to build and support critical infrastructure, implying good operational fit for roles requiring robust data solutions. The lack of specific psychometric test results prevents a detailed assessment of work attitude, stress handling, and team collaboration.