Prakhyat Shankesi
Machine Learning 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
Trust AI @ LinkedIn
I build machine learning systems that work at scale — from ranking and recommendations to language models that moderate content for hundreds of millions of users. With 7+ years across Microsoft, ShareChat, AlphaSense, and now LinkedIn, I've shipped models that move real metrics — DAU lifts, click rate improvements, F1 gains, and compute efficiency wins. My work spans the full ML lifecycle: data pipelines, model architecture, production deployment, and post-launch optimization. If you're working on hard ML problems — especially at the intersection of Language Models, Search, and Recommender Systems — I'd love to connect.
Indian Institute of Technology, Kanpur
Master of Technology - MTech, Computer Science
January 1, 2019 – January 1, 2021
Indian Institute of Technology, Madras
Bachelor of Technology - BTech, Marine Engineering with Minors in Mathematics for Computer Science
January 1, 2013 – January 1, 2017
Senior Machine Learning Engineer
May 1, 2025 – Present
Bengaluru, Karnataka, India · On-site
AlphaSense
AI Research Engineer 2
April 1, 2024 – May 1, 2025
Bengaluru, Karnataka, India
ShareChat
Machine Learning Engineer 2
October 1, 2023 – April 1, 2024
Bengaluru, Karnataka, India
Microsoft (Bing Shopping)
Data & Applied Scientist II
December 1, 2022 – October 1, 2023
Hyderabad, Telangana, India
Microsoft (Bing Shopping)
Data & Applied Scientist
July 1, 2021 – November 1, 2022
Hyderabad, Telangana, India
Citi
Application Developer (FXLM)
July 1, 2017 – July 1, 2019
Chennai, Tamil Nadu, India
Azure Data Scientist Associate
Microsoft
June 23, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in leading tech companies, suggesting an ability to adapt to fast-paced, innovative environments. The progression through various ML/AI roles indicates a focus on the target domain. However, the lack of project diversity in the provided data (no listed projects) limits a full assessment of breadth beyond core ML/AI.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The psychometric test score is 0, indicating no data for evaluation.