Pankaj Sharma
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
Senior Applied Scientist @ Microsoft | Ex- Amazon | IIT Delhi | Startups
As a research scientist at Amazon, I work on natural language understanding for Hindi and Indian English languages in Alexa, applying my machine learning expertise and passion for solving complex problems. I have over 10 years of experience in data science, with a focus on speech recognition, computer vision, and natural language processing. Previously, I led the machine learning team at PolicyBazaar.com, where I innovated and deployed AI solutions for call center automation, lead propensity, and video inspection, resulting in improved efficiency, quality, and revenue. I also co-founded and served as the CTO of Langhar and Yumist, two food-tech startups that leveraged technology to deliver convenient and affordable meals. I am proficient in Python, R, PyTorch, TensorFlow, and Keras, and I hold a certification in machine learning from Stanford University.
Indian Institute of Technology, Delhi
B.tech, Mechanical Engineering
January 1, 2006 – January 1, 2010
Microsoft
Senior Applied Scientist
September 1, 2025 – Present
Bangalore Urban, Karnataka, India · Hybrid
Amazon
Research Scientist, Amazon AGI
October 1, 2023 – September 1, 2025
Amazon
Research Scientist, Alexa NLU
March 1, 2020 – September 1, 2023
PolicyBazaar.com
AVP, Artificial Intelligence
September 1, 2017 – February 1, 2020
Gurgaon, India
Yumist
Head Of Technology
August 1, 2015 – March 1, 2017
Gurugram, Haryana, India
Langhar Food Services Pvt Ltd
Cofounder and CTO
November 1, 2010 – August 1, 2015
Noida Area, India
Microsoft Global Hackathon 2025 Award Winner
Arete Global - Recruiting Excellence
June 24, 2026 – Present
Machine Learning by Stanford University
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning startups and large tech companies (Amazon, Microsoft), indicating adaptability to different organizational cultures. Their involvement in Responsible AI and fairness in AI research aligns with ethical considerations often valued in modern tech environments. However, the transition from Mechanical Engineering to AI, while demonstrating strong learning ability, might suggest a less direct initial path into the target role compared to candidates with a pure CS/ML background. The lack of specific project details beyond job descriptions makes it harder to fully assess cultural alignment with specific team dynamics.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and team management skills through their roles at Amazon and PolicyBazaar. Their experience as a co-founder and CTO also indicates entrepreneurial drive and a broad understanding of business operations. The descriptions suggest a proactive approach to problem-solving and a collaborative mindset, especially in scaling solutions with cross-functional teams.