Sanjeev D
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineering Leader | Graph Intelligence at Microsoft
Accomplished Cloud AI Engineering Lead, Data Scientist, and Innovator adept at building scalable AI/ML solutions and innovative data products backed by multiple patents. AI/ML Software Engineer with over 10 years experience designing, developing and delivering multi-platform LLM based enterprise software and data science solutions for the healthcare, insurance, government and telecommunications industries. Self learner, creative problem solver and passionate programmer with strong analytical skills, fluency in a range of programming languages, design patterns, machine learning algorithms, and data processing frameworks. Specialties: BigData Analytics, Information Retrieval, LLMs, Deep Learning with Python, OpenCV, PyTorch, and Graph Analytics with PyTorch Geometric
Udacity
Deep Reinforcement Learning Nanodegree, Artificial Intelligence
January 1, 2021 – January 1, 2022
Virginia Tech
Masters in Information Technology, Software Engineering, Business Decision Support
August 1, 2006 – December 1, 2008
University of Wisconsin-Madison
Capstone, Biostatistics and Medical Informatics
January 1, 2004 – January 1, 2006
Microsoft
Principal AI Engineering Manager- Azure Resource Graph Intelligence
March 1, 2024 – Present
Microsoft
Principal Data Scientist - Forward Deployed AI/ML Solution Architect
July 1, 2019 – March 1, 2024
Microsoft
Sr. Data Scientist & AI/ML Cloud Solutions Architect
July 1, 2017 – June 1, 2019
Microsoft
Big Data Solutions Architect
February 1, 2016 – June 1, 2017
AT&T
Data Science Lead & Sr. Big Data Engineer
May 1, 2014 – January 1, 2016
Atlanta, GA
Georgia Department of Transportation
Enterprise Software Architect
January 1, 2009 – April 1, 2014
Atlanta, GA
Cardinal Solutions
Solutions Architect
January 1, 2008 – December 1, 2008
Rural Mutual Insurance
Software Architect
August 1, 2002 – December 1, 2007
MS: Perform Cloud Data Science with Azure Machine Learning
Microsoft
June 24, 2026 – Present
MCSA: Cloud Platform - Certified 2016
Microsoft
June 24, 2026 – Present
MS: Design and Implement Big Data Analytics Solutions
Microsoft
June 24, 2026 – Present
Being a Good Mentor
June 24, 2026 – Present
Azure Data Scientist
Microsoft
June 24, 2026 – Present
Microsoft US Office of Digital - Data Science Challenge Certified
Microsoft
June 24, 2026 – Present
Microsoft-INSEAD AI Business School
Microsoft
June 24, 2026 – Present
Openhack: Containers
Microsoft
June 24, 2026 – Present
Deep Reinforcement Learning Nanodegree
Udacity
June 24, 2026 – Present
Microsoft Global Hackathon 2023 Award Winner - Field Guide to Generative AI
Microsoft
June 24, 2026 – Present
Microsoft Mentor Gold
Microsoft
June 24, 2026 – Present
Microsoft Certified Trainer (MCT)
Microsoft
June 24, 2026 – Present
Microsoft Certified: Azure Data Engineer Associate
Microsoft
June 24, 2026 – Present
Cloudera Certified Hadoop Developer
Cloudera
June 24, 2026 – Present
Machine Learning (Andrew Ng)
Coursera
June 24, 2026 – Present
Microsoft Certified: Azure AI Engineer Associate
Microsoft
June 24, 2026 – Present
OpenHack: App Modernization with NoSQL
Microsoft
June 24, 2026 – Present
OpenHack: Serverless
Microsoft
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's long tenure at Microsoft across various evolving technical roles (Big Data, Data Scientist, AI/ML Solution Architect, AI Engineering Manager) demonstrates adaptability, continuous learning, and a strong alignment with enterprise-level innovation. Their involvement in hackathons and certifications across diverse AI/ML and cloud domains indicates a proactive and growth-oriented mindset, fitting well into a dynamic technical culture. The breadth of experience from software architecture to cutting-edge AI engineering shows a versatile and well-rounded professional.
Soft Skills & Operational Fit
The candidate's extensive experience as a Principal AI Engineering Manager and various architect roles at Microsoft suggests strong leadership, problem-solving, and strategic thinking abilities. Their involvement in driving architecture and establishing engineering patterns indicates a proactive and influential operational fit. The certifications in mentoring also point to strong collaboration and knowledge-sharing capabilities.