Director, Machine Learning Engineering
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Design, build, deploy software applications to solve real-world problems with 8.5 years of technology experience in IT industry. Experience with varied forms of practical data, including Image and Text data.
Texas A&M University
Master's in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, Neural networks, Data Science
January 1, 2016 – January 1, 2018
Gayatri Vidya Parishad College of Engineering (Autonomous), 530048(CC-13)
Computer Science
N/A – Present
Fidelity Investments
Director, Machine Learning Engineer
January 1, 2026 – Present
New Hampshire, United States
Fidelity Investments
Principal Machine Learning Engineer
August 1, 2022 – January 1, 2026
New Hampshire, United States
Fidelity Investments
Sr Software Engineer
September 1, 2019 – August 1, 2022
New Hampshire, United States
American Express
Sr Software/Machine Learning Engineer
August 1, 2018 – September 1, 2019
Greater Phoenix Area
IOHB
Machine Learning Intern
May 1, 2018 – July 1, 2018
Texas A&M University
Graduate Assistant- Artificial Intelligence
August 1, 2016 – May 1, 2018
OpenText
Lead Software Engineer
January 1, 2015 – July 1, 2016
Greater Hyderabad Area
Cognizant
Associate
November 1, 2007 – January 1, 2015
Google Cloud virtual hackathon
Open Data Science Conference (ODSC)
June 24, 2026 – Present
Agentic AI certification
Open Data Science Conference (ODSC)
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's experience is heavily skewed towards Machine Learning and Artificial Intelligence, with a strong background in backend/data-intensive roles. The target role is 'Frontend Developer'. This represents a significant mismatch in core technical focus, suggesting a potential cultural fit challenge for a dedicated frontend team. While the candidate has 'Sr Software Engineer' experience, the specific frontend skills are not detailed in the resume or assessed.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights into logical reasoning, work attitude, stress handling, or team collaboration.