May 2022 – Mar 2025 · 2 yrs 10 mos · Bengaluru, Karnataka, India · Hybrid

• Developed typeahead improvements leading to a $50M increase in GMV
• Received the IDC Bravo Award in 2022 for outstanding contributions.
• Worked on Product Search Relevance prediction models, and their evaluations

Jul 2021 – May 2022 · 10 mos

• I am the tech lead for a 10 person data science team. We work on large scale (serving 10M+ MAU) content recommendation systems, and use state of the art techniques like Deep Learning, graph embeddings, Multi Armed Bandits etc. We are a full stack team, responsible for data, models, deployment, and uptime.
• Key responsibilities
• Architecting solutions and mentoring team members
• Looking ahead by 3-6 months to plan DS roadmap
• Collaborating with engg and product teams to deliver business goals.

Apr 2019 – Jun 2021 · 2 yrs 2 mos

• I work on large scale Machine Learning systems, serving 10 million+ users. My work involves building big data pipelines, training machine learning/deep learning models, and the associated prediction services. I am also responsible for building and managing key stakeholder relationships.
• Skills : Tensorflow/Pytorch, Python, Machine Learning, Big Data, Apache Spark
• Industry : Consumer internet platforms (B2C), content recommendation systems

Apr 2018 – Apr 2019 · 1 yr

• Deep Learning on embedded systems
• Software Architecture Design and implementation
• Individual Contributor role
• Skills : Deep Learning, Machine Learning, Python, C++, Multithreading

Jun 2017 – Mar 2018 · 9 mos

• Deep Learning on embedded systems
• Software Architecture Design and implementation
• Skills : Deep Learning, Machine Learning, Python, C++, Multithreading

Jun 2016 – May 2017 · 11 mos · Pune/Pimpri-Chinchwad Area

• Design of custom lenses used in Cataract Surgery.
• Skills : CUDA, Python, Machine Learning

Jul 2010 – Jun 2011 · 11 mos · Pune/Pimpri-Chinchwad Area

• Compiler Optimization
• GPU assembly programming
• Skills: C, memory management, assembly language