As a Software Engineer at Microsoft, I have experience working in areas such as natural language processing, large-scale systems and container orchestration. I have a deep interest in machine learning, data science, and mathematics. I'm especially passionate about research in football analytics to utilize data to measure individual and team performance. I have a foundation knowledge in the domains of Computer Vision and NLP. In my free time, I enjoy playing football, traveling the world and reading.

  • Phone: +91 7070241542
  • Email: adnanazmat42@gmail.com


Software Development

Machine Learning

Computer Vision

Natural Language Processing

Football Analytics

Statistics | Probability


Container orchestration



Software Engineer | Special Clouds

July 2021 - Present

  • Our team abstracts the challenges of config management to enable the deployment of Microsoft services to sovereign and air‑gapped clouds
  • Worked on designing, implementing and testing the CM solutions for M365 services deployed via containers on Azure Kubernetes Service
  • Implemented the pipeline for moving region-specific service configs from their repositories to a config store. These are fetched and stored in the K8 config map of the cluster during deployment. Configured monitoring and alerting scenarios for the flow using Prometheus and Grafana
  • This has simplified config file handling, allowed runtime config changes without redeployments and abstracted cloud sensitive configs


Software Engineer Intern | Outlook Calendaring

Jan 2021 - June 2021

  • Re‑engineered Outlook events and calendar APIs, shifting from a monolith to a micro‑services architecture using gRPC
  • Designed and developed a traffic splitter tool to redirect traffic to the modernized APIs while also collecting metrics and telemetry for analysis
  • Traffic splitter enabled safe roll‑out and testing of modernized APIs worldwide while handling an average of 15 billion hits a month


Software Engineer Intern | Evee Bot for Microsoft Teams

May 2020 - July 2020

  • Worked on suggesting meeting subject line from a real‑time chat conversation with a meeting intent for the Microsoft Teams chatbot
  • Trained and tested machine learning techniques and models, including Azure LUIS, RAKE, YAKE, and LSTM neural network on the Enron Corpus
  • Accuracy of the models was measured using the BLEU score, and the most optimal model was integrated with the bot using Azure Bot Service


Birla Institute of Technology, Mesra
B.E. in Information Technology

June 2017 - May 2021
GPA: 7.5/10 (First Class with Distinction)

Rajendra Vidyalaya, Jamshedpur
Pure Science (PCMC)

March 2015 - April 2017
ISC: 94% (Senior High School)

KSMS, Jamshedpur

March 2015 - April 2017
ICSE: 97% (High School)

Exam Scores

GRE: 319 (152V, 167Q, 4 AWA)
IELTS: 7.5                                    


National Champions


Codefundo++ Hackathon
Runners Up


Forbes D2C Competitive Leaders
7th in India


NITR Innovision Run IO Hackathon
Second Runners Up


Jharkhand StartUp Hackathon
Top 5 India


Tata Steel Millennium Scholarship
Category A


IMT Inquisitive Business Quiz
National Champions


Bournvita Quiz Contest
National Semi-Finalist