Jun 2022 – Jul 2025 · 3 yrs 1 mo · Bengaluru, Karnataka, India

• Driving AI innovation at scale for one of India’s leading short video platforms.
• As Head of AI Labs at Josh, I lead the applied research and development of large-scale AI systems that power personalized experiences for millions of users daily. My work sits at the intersection of deep learning, recommendation systems, and content understanding, focused on enhancing user engagement, content discovery, and platform safety.
• Key Responsibilities:
• Leading a team of 10+ Data Scientists and ML Engineers to build and scale Josh’s Video Recommendation System using Bandit algorithms, Collaborative Filtering, Graph-based models, and MTL-based Ranking Systems.
• Designing state-of-the-art algorithms across multiple modalities—video, audio, image, and text—to generate meaningful embeddings and drive personalization, discovery, and moderation.
• Building and deploying deep learning models such as encoder-decoder architectures and self-supervised systems for content representation and retrieval.
• Developing robust AI infrastructure for experimentation, A/B testing, and continuous model evaluation in production environments.
• Architecting content understanding and moderation pipelines using CV, NLP, and audio ML techniques to maintain platform safety and relevance at scale.
• Driving multi-objective optimization in recommendations to balance user satisfaction, engagement, content diversity, and creator growth.
• Partnering with Product, Engineering, Trust & Safety, and Creator teams to integrate AI-driven solutions into core platform features.
• Shaping the long-term AI strategy for the platform and championing a culture of research, innovation, and technical excellence.

Oct 2020 – May 2022 · 1 yr 7 mos · Bengaluru, Karnataka, India

• Headed the Data Science and Analytics division at upGrad.
• 1. Built and set up the Data Science and Product Analytics verticals from ground-up
• 2. Built AI-based differentiating features that led to an increase in revenue growth for the organization
• 3. Built features like recommendation engines, lead scoring, and AI-based career readiness scores using highly scalable and robust architecture
• 4. Generated key insights and recommendations for the organization to help make key strategic decisions
• 5. Hired and developed a 15 member Data Science and Product Analytics organization

Nov 2018 – Oct 2020 · 1 yr 11 mos · Bengaluru, Karnataka, India

• Building the Data Science division and leading all AI-based product development efforts at HackerEarth.
• Primary responsibilities include:
• 1. Adding Data Science capabilities to HackerEarth's talent assessment products which includes building new features and improving existing offerings through Machine Learning and Deep Learning.
• 2. Hiring and retaining talents within the organization for the Data Science division.
• 3. As part of the leadership team, contributing to organization's mission and vision.

Jan 2017 – Oct 2018 · 1 yr 9 mos · Bengaluru, Karnataka, India

• I work with technology team and business units for building Marlabs' flagship AI product.
• Primary Responsibilities -
• 1. Managing technology team for building features based on product roadmap.
• 2. Designing product architecture and roadmaps based on business requirements.
• 3. Overseeing sprint planning and end-to-end development execution.
• 4. Building new modules and product features using Deep Learning, Machine Learning and Statistics.
• 5. Working with different business units in Marlabs for product marketing and customer engagement.

Apr 2015 – Dec 2016 · 1 yr 8 mos · Greater Bengaluru Area

• As a part of Data Semantics Team, I have worked on the following projects :
• 1. Developed algorithms for text based clustering to find similar products across thousands of e-commerce stores and millions of products with low latency. This includes classification of products based on their features and designing a normalization layer based on various text based attributes for every product.
• 2. Developed algorithms for Image based similarity mapping for products and extracting various attributes for a given product from the image. This included use of Deep Learning techniques and Image Processing algorithms.
• 3. Built APIs and micro-services for integration of back-end algorithms with front-end of core product.

Jul 2014 – Mar 2015 · 8 mos · Bangalore

• I was a part of the Next Gen Solutions Team of Device Solutions India Lab.
• Primary Responsibilities -
• 1. To develop clustering algorithms for data captured on touch panel of mobile phones using Machine Learning.
• 2. Research on Machine Learning Algorithms for optimization of algorithms used specifically for classification and clustering of capacitance data of touch panel.
• 3. Classification of data as noise or from unintended touch.

Dec 2013 – Jun 2014 · 6 mos · Greater Bengaluru Area

• Primary Responsibilities -
• 1. Set up of multiple node Hadoop Cluster using Hortonworks Stack.
• 2. Making the installation process Automatic using Ambari
• 3. Integrating Hadoop with CUDA using JNI
• 4. Running of MR Jobs on CUDA.