Jan 2022 – Present · 4 yrs 2 mos · Bengaluru

• [Sep 2025 - ]
• Sports AI. Provide users with a deep and engaging sports experience on Search. Support Google teams using sports data elsewhere.
• [Jan 2022 - Aug 2025]
• Utilized cutting edge ML techniques to enhance Google Maps safety and prevent abuse.
• Collaborated with cross-functional teams to implement innovative solutions for user protection.
• Developed and implemented machine learning algorithms to improve user experience and safety.

Apr 2020 – Jan 2022 · 1 yr 9 mos

• Building a diverse team of Data Scientists, Data Engineers and Product Managers from the scratch across India, Sweden and US
• Contributing to the strategy for enhancing ML/AI adoption within Ericsson
• Responsible for operations and execution of data driven projects

Aug 2017 – Apr 2020 · 2 yrs 8 mos

• Machine Learning, Deep Learning, IoT, NLP
• Defining architecture and prototyping various use cases for the NWDAF (Network Data Analytics Function) which provides analytics to 5G Core Network Functions.

Jul 2016 – Aug 2017 · 1 yr 1 mo · Chennai Area, India

• The vision of Indix is to become an universal product catalog. The product data is collected
• by crawling many products that are sold over the internet. Machine learning techniques are
• being used for product classification and identifying the same product across multiple stores.

Jun 2014 – Jul 2016 · 2 yrs 1 mo

• Developed and implemented large scale application of predictive models that
• are used to bridge the market research to a large subscriber base.

Nov 2012 – Apr 2014 · 1 yr 5 mos · Dortmund, North Rhine-Westphalia, Germany

• Implemented crawling, sentiment analysis and a vertical search engine for European research project SustainHub .
• Worked on the development of Rapidminer Studio and Rapidminer Server.

Apr 2012 – Oct 2012 · 6 mos

• Data Mining, Machine Learning, Optimization, Probabilistic Graphical models
• Worked on the Optimization Plugin for RapidMiner.
• Worked on developing stochastic gradient descent based parameter estimation for probabilistic graphical models such as conditional random fields (CRF) and Markov random fields.

May 2010 – Mar 2012 · 1 yr 10 mos

• Research & Development, Big Data, Analytics, Machine Learning
• Worked on development of Analytics Suite, a product offering in the telecom domain that analyzes call detail records (CDR) to provide key insights to business.
• Worked on the design and implementation of OLAP reporting system.

Sep 2007 – May 2010 · 2 yrs 8 mos

• Data Modeler, Product Developer , DBA
• Worked on development of Quota Management module of Fusion.
• Worked on the development of India Localization module of Ebusiness suite R12 and 11i.

Dec 2005 – Aug 2007 · 1 yr 8 mos

• Software Developer
• Worked on development of inbound and outbound interfaces for the implementation of Drop shipment feature.
• Coordinated End to End testing between the client system, B2B interfaces and supplier’s system.