Tezan Sahu is a data-driven software engineer and applied scientist with eight years of experience building large-scale AI products at Microsoft, currently working on the M365 Copilot Extensibility Platform to enable enterprise-grade AI agents. An IIT Bombay graduate (Institute Rank 2), he blends research-minded experimentation—defining evaluation metrics, testing pipelines, and feedback loops—with hands-on engineering to ship reliable, measurable agentic systems. His background on Bing Autosuggest sharpened his skills in multilingual, high-coverage ranking and real-world production pipelines across 235 regions and 100+ languages. Tezan is also a #1 Amazon bestselling author, co-author of a twice-weekly AI newsletter, and a top 1% mentor who has guided 100+ professionals through career transitions into AI and data science. He contributes to open-source scientific tooling (e.g., extending the PEcAn API) and brings uncommon cross-domain experience spanning NLP, deep learning, blockchain, and backend API design.
8 years of coding experience
6 years of employment as a software developer
Indian Institute of Technology Bombay
Class 10 (ICSE), Class 10 (ICSE) at St. Mary's ICSE School
Class 12 (CBSE), Science, Class 12 (CBSE), Science at Jaipuriar School
The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
Role in this project:
Back-end Developer & API Developer
Contributions:96 commits, 7 PRs, 54 comments in 2 months
Contributions summary:Tezan primarily contributed to the development and enhancement of the PEcAn API. They implemented several API endpoints, including those for ping, models, workflows, and runs. Their work involved creating API endpoints, authentication, adding Swagger documentation, and ensuring proper database interactions. They also refactored and improved database connections.
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