Ashish Jhanwar

AI Researcher

Hyderabad, Telangana, India12 yrs 6 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Decade of experience as an Applied Scientist.
Expert in productionizing ML features and bridging teams.
Mentored junior team members across various capacities.

Stackforce AI infers this person is a Data Science and Machine Learning expert in a B2B SaaS environment.

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Skills

Core Skills

Machine LearningDeep LearningData Analysis

Other Skills

Active ListeningAlgorithmsAlgorithms in computational biologyArtificial IntelligenceBig DataCC#C++ClassificationCoachingCommunicationComputer ScienceConversation AICryptographyData Mining

About

I have a decade of experience working as Applied Scientist across multiple domains - Customer Service, Segmentation, Content Moderation, Search Relevance and Advertising. These days, I work as Tech Lead/Architect for DS projects, responsible for productionizing ML features. I also work as a bridge between Data Scientists/Researchers and Engineers, which ensures features are built for production and platforms are built to support Data Science projects. Over the years, I've mentored many junior team-members in different capacity. Data Science skills - Machine Learning, Deep Learning, NLP, Conversational AI, Generative AI Engineering skills - Python, Pyspark, Real-time inference, Azure technologies Older skills - Scope (Microsoft's internal Map-reduce framework), Scala

Experience

Microsoft

4 roles

Principal Applied Scientist

Promoted

Mar 2025 – Present · 1 yr

Working in Copilot Studio AI team

Senior Applied Scientist

Promoted

Sep 2020 – Feb 2025 · 4 yrs 5 mos

Tech-Lead for shipping prototyped AI features to Production
Architect Real Time Inference framework to improve the agility for data scientists
Build ML models for Customer Service

Realtime inferenceNatural Language Processing (NLP)PySparkDeep LearningML EngineeringMachine Learning

Data & Applied Scientist 2

Sep 2016 – Sep 2020 · 4 yrs

Team #1 - Bing Search:
Design, build and own Content Filtering platform of Bing stack to make shipping more agile
Build monitoring pipeline to automatically detect any potential live site issue
Build Deep Learning models for inappropriate text classification resulting in research publication
Scale models to various verticals (Search, Conversations, QnA etc.) and languages
Host models in different environments to support the needs of various customers
Build feature for Audience targeting to help advertisers
Team #2, Business Applications:
Build AI feature to identify similar customers in Customer Insights product
Work on contract design, code, test, logging and monitoring
Technologies:
Public technologies - Scala, Spark, C#, Kusto (KQL), CNTK
Internal technologies - SCOPE (Public variant - U-SQL), Aether (Workflow management tool for experiments and data pipelines)

Natural Language Processing (NLP)Deep LearningConversation AISparkMLOpsMachine Learning

Software Development Engineer

Aug 2013 – Aug 2016 · 3 yrs

Responsibilities:
Worked on classification, relevance and ranking problems in Bing Search
Analyze search logs to find opportunities for improvements along with potential impact
Build, own and maintain machine Learning models along with tracking their impact over time
Implement large data pipelines with regular cadence and high reliability
Present the technique to release triage and co-ordinate shipping with cross-geo teams
Help new team-members ramp-up
Technologies:
Public technologies - C#
Internal technologies - SCOPE (Public variant - U-SQL), Aether (Workflow management tool for experiments and data pipelines)