Headline

Machine Learning @ Google

About

As a software engineer, machine learning at Google, I apply my practical expertise in developing machine learning applications to create better solutions for Google Maps. I have also contributed to the strategy for enhancing ML/AI adoption within Ericsson With more than 15 years of experience in the field of data science and machine learning, I have a strong product development, programming, and engineering background. I have experience in performing academic literature surveys and converting them into working solutions, as well as mentoring juniors and building high-performance teams. I am passionate about advancing the state of the art in machine learning and applying it to real-world problems.

Location

Bengaluru

AI stack

gemini

Work experience

Software Engineer, Machine Learning at Google, Jan 2022 - Present · 4 yrs 8 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.

Guest Faculty at Indian Institute of Technology, Madras, Jun 2023 - Oct 2023 · 5 mos, Chennai, Tamil Nadu, India, Taught a course on Big Data Technolgoies

Senior Manager (Data Science & Machine Learning), Global Artificial Intelligence Accelerator at Ericsson, Apr 2020 - Jan 2022 · 1 yr 10 mos, Chennai, Tamil Nadu, India, * 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

Applied Machine Learning Researcher at Ericsson, Aug 2017 - Apr 2020 · 2 yrs 9 mos, Chennai Area, India, 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.

Principal Machine Learning Engineer at Indix, Jul 2016 - Aug 2017 · 1 yr 2 mos, 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.

Principal Data Scientist, Engineering Manager at Xoanon Analytics, Jun 2014 - Jul 2016 · 2 yrs 2 mos, Developed and implemented large scale application of predictive models that are used to bridge the market research to a large subscriber base.

Education

B.E, Electrical and Electronics, Anna University Chennai

Master of Science, Software Systems, Birla Institute of Technology and Science, Pilani

Public links

github: https://github.com/vumaasha