Headline

Machine Learning Engineer || ML Platforms || ML Infra

About

- Data Scientist at Sharechat, India's leading in-house social media platform and short video-app. - Thorough knowledge and hands-on experience in Machine Learning, Recommender Systems, Nearest Neighbours Search Algorithms, Deep Learning and Multimodal Learning. - BTech. in Computer Science from LNM Institute of Technology.

Location

Bengaluru

AI stack

claude code

deepseek

hugging face

kimi

ollama

vLLM

Work experience

Machine Learning Engineer 3 - ML Platforms at Glance, Apr 2025 - Present · 1 yr 5 mos, Bengaluru, Karnataka, India

Lead Machine Learning Engineer at ShareChat, Sep 2023 - Nov 2024 · 1 yr 3 mos, Bengaluru, Karnataka, India, Realtime Ranking and Personalization · Working on building real-time ranking capabilities for user-feed personalization on Moj and Ads. · Responsible for cost-reduction of 30% by moving to spot instances for training workflows. · Reduce training GPU cost by implementing mixed float operations and loss scaling.

Data Scientist-2 at ShareChat, Oct 2021 - Sep 2023 · 2 yrs, Bengaluru, Karnataka, India, Moj Feed AI, Recommender Systems, Notification Personalisation and Volume Optimisation · Building infrastructure for personalised notifications capable of handling scale of millions of users. · Ran A/B experiments on personalised notifications as well as volume optimisation to achieve CTR gains and re-activation of users. · Achieved 80% savings in compute and SQL costs through various optimisations on infrastructure and storage. · Worked on solving Post Cold start problem for Moj. · Achieved a 0.X% retention gain in D1 users. · Increased the number of posts served to users by 4x, leading to improved diversity and post exploration. · Built early stage candidate generators targeting early post discovery to maximise chances of success. · Improved personalisation of posts in early stage to push for quick post embedding convergence. · Bridging the supply-demand gap in smaller Indian languages like Gujarati, Bhojpuri, Rajasthani, etc. through specific candidate genarators catering to these business usecases. · Running and analysing various A/B Experimentations of user and post variants to test different feed recommendation logic to optimise for metrics like user retention, video play time and engagement metrics. · Responsible for multiple core feed microservices and training pipelines and enabling autoscaling as well as assuring complete uptime of our feed models. Mentors - Hastagiri Vanchinathan, Director(Feed AI/Ranking), Michal Porvaznik, Staff ML Engineer and Jan Ruziev, Staff ML Engineer.

Data Scientist-I at ShareChat, Apr 2021 - Sep 2021 · 6 mos, Bengaluru, Karnataka, India, Recommender Systems, Feed AI, Duplicate Detection, Google Cloud TPUs · Worked in the modelling team of Moj Feed AI. · Worked on online recommender system leading to significant gains in business metrics like retention, video playtime, feed quality etc. · Built scalable, robust core and cost efficient modelling pipelines for our Feed AI Ranking component. · Worked on model inference, serving, load testing and deployment/monitoring for our core feed models. · Worked on Large scale nearest neighbour search engines for Feed Ranking and Content Understanding. · Extensively involved in developing and running multiple A/B Test Experiments on User and Post Level business metrics like retention, playtime, engagements etc. · Responsible for various end-to-end machine learning pipelines for Sharechat and Moj. Mentors - Hastagiri Vanchinathan, Director(Feed AI/Ranking) and Peddakota Vikash, Lead Data Scientist

Deep Learning Intern at Sparrosense, May 2019 - Jul 2019 · 3 mos, Gurgaon, Haryana, India, Decoupling Localization and Classification in Single Shot Temporal Action Detection - Working on developing a robust model performs action localization and classification using a single end-to-end trainable procedure. Mentors - Ankit Agarwal, CEO and Ravikant Bhargav, Research Head

Artificial Intelligence and Data Science Intern at Algorithm Labs, May 2018 - Jul 2018 · 3 mos, Work from Home, - Creating a chatbot using Google DialogFlow API to bridge the gap between buyers and sellers in the shipping industry. - Developing a model that Dynamically prices Hotels for Maximum Revenue. - Worked on developing the idea of Supply Chain Management. Mentors - Gaurav Sharma, CEO

Research Intern at Defence Research and Development Organisation (DRDO), May 2018 - Jul 2018 · 3 mos, Bangalore, Worked on a project on Rapid 3D Reconstruction of UAV video stream for Centre for Artificial Intelligence and Robotics(CAIR), a lab of DRDO. Mentor - Dr. Malay Nema, Scientist at DRDO

Education

Bachelor of Technology - BTech, Computer Science, The LNM Institute of Information Technology

12th standard, modern vidya niketan