AI/ML Platform Engineering@Paypal | TPU/GPU Infra | Scaling AI Compute | k8s schedulers | ML-Ops
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Software Engineer in AI/ML infra. Proven skills in distributed systems, building and maintaining a container orchestration platform for platform team. 🚀 AI/ML Platform Engineer | Distributed Systems | Scaling AI Systems | Kubernetes | CI/CD Specialist | Python Wizard 🐍 Ask me about my code development setup !
University of North Carolina at Charlotte
Master's degree, Computer Science
January 1, 2018 – January 1, 2019
Indian Institute of Science (IISc)
Data Analytics
January 1, 2017 – January 1, 2018
Kumaraguru College of Technology
Bachelor of Engineering (B.E.), Electronics and Instrumentation Engineering
January 1, 2013 – January 1, 2017
PayPal
Senior Software Engineer - AI/ML
January 1, 2025 – Present
San Jose, CA · On-site
PayPal
Software Engineer 3 - AI/ML
March 1, 2022 – December 1, 2024
San Jose, CA · On-site
Adtalem Global Education
Machine Learning Engineer
April 1, 2020 – March 1, 2022
California, United States
University of North Carolina at Charlotte
Research Assistant for Text Mining and Network Analytics
September 1, 2019 – March 1, 2020
Charlotte, North Carolina Area
Siemens
Data Science Research with Interest in Reliable AI - Intern
May 1, 2019 – August 1, 2019
Princeton, New Jersey
University of North Carolina at Charlotte
Graduate Teaching Assistant
August 1, 2018 – December 1, 2018
University of North Carolina at Charlotte
Graduate Research Assistant - Natural Language Processing | Data Mining
March 1, 2018 – May 1, 2019
savemom
Machine Learning Engineer
May 1, 2017 – December 1, 2017
Bengaluru · On-site
Bharat Sanchar Nigam Limited
Trainee Student
December 1, 2014 – December 1, 2014
Salem
Work Style Assessment
Indeed
June 24, 2026 – Present
Plum Talent
Plum
June 24, 2026 – Present
Introduction to R
DataCamp
June 24, 2026 – Present
Advanced Analytics with Amazon SageMaker
Amazon Web Services (AWS)
June 24, 2026 – Present
GitHub Actions
KodeKloud
June 24, 2026 – Present
Semantic Segmentation Explained
Amazon Web Services (AWS)
June 24, 2026 – Present
Responsible Conduct of Research
CITI Program
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's experience is heavily skewed towards AI/ML platform engineering and MLOps, with a strong focus on infrastructure and distributed systems. While there is a background in data analytics and machine learning, the recent roles are more aligned with a Software Engineer/MLOps Engineer profile rather than a pure Data Analyst. The project diversity is good within the AI/ML and data space, but the direct alignment with a 'Data Analyst' target role is moderate, suggesting a potential mismatch in day-to-day responsibilities and core focus.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight leadership in resource management, problem-solving for developer pain points, and cross-functional collaboration with stakeholders. These indicate strong operational fit and soft skills relevant for senior roles, especially in platform engineering and data analytics.