Ajinkya Sonawane

Software Engineer

United Kingdom7 yrs 3 mos experience

Highly Stable

Key Highlights

Designed high-scale provisioning service for Microsoft Teams.
Led machine learning initiatives to optimize ad performance.
Improved service performance by 100x through innovative solutions.

Stackforce AI infers this person is a Backend Engineer specializing in SaaS and Advertising Technology.

Contact

Skills

Core Skills

Machine LearningData AnalysisJavaMicrosoft Azure

Other Skills

AlgorithmsAndroid DevelopmentAngularJSC#C++Data StructuresJavaScriptLinuxManagementMicrosoft ExcelMicrosoft OfficeMicrosoft PowerPointMySQLResearchTCL

About

"The major difference between a thing that might go wrong and a thing that cannot possibly go wrong is that when a thing that cannot possibly go wrong goes wrong it usually turns out to be impossible to get at or repair" -- Douglas Adams. Every backend engineer can relate to the above statement. Even the most "perfect" piece of code can fail at high scale. As a passionate backend engineer, I'm heavily invested in making the "impossible" possible. I'm currently working at Microsoft Hyderabad in IC3-ModernProvisioning team. We handle a high scale service(~6 million request per peak hour), which provisions new users and tenants to Microsoft Teams(Chat Based Service) in no time.

Experience

7 yrs 3 mos

Total Experience

2 yrs 8 mos

Average Tenure

1 yr 10 mos

Current Experience

Microsoft

Software Engineer II

Jul 2019 – Jul 2024 · 5 yrs · Hyderabad Area, India

As a part of Teams backend provisioning service, following were my deliverables.
Designed, developed and rolled out feature which assigns voice related capabilities to 200M+ monthly active Teams users based on their subscriptions/licenses via new cloud based provisioning service.
Actively worked on increasing the performance of the service by implementing caching, batch-processing and re-structuring the event execution flow. Success count increased 100 times and E2E latencies were dropped from ~90ms to ~2ms.
End to End design and implementation of a framework to relay events(~ 30M per day) to downstream services in a GDPR compliant manner. It preserves the sequence of events and ensures high availability, disaster recovery.
Developed a framework to check the integrity of data in the main CosmosDB. In case of ambiguity, this system automatically re-sync the entire data to ensure consistency.
Added a platform level feature to facilitate re-processing of events. It helped us reliably transition from legacy to new provisioning system, and fix provisioning errors due to unforeseen reasons.
As a Part of User Provisioning Portal Team, worked on a full stack project to display user's HR details on the provisioning ticket.

JavaC#Microsoft AzureData Structures

Nvidia

System Software Engineer Intern

Jan 2019 – Jun 2019 · 5 mos · Pune Area, India

Worked on TCL script to automate power consumption monitoring of GPU.
Framed Power Profiling of GPUs of Different families.

TCL

Sterlite tech - elitecore

Research And Development Intern

May 2016 – Jul 2016 · 2 mos · Ahmedabad Area, India

Worked on decoding a given phone number to its country, state, city, area using Trie data structure.
Worked on optimizing the costs incurred during call routing.