Apr 2022 – Feb 2024 · 1 yr 10 mos · New York City Metropolitan Area

• Tech lead for the promotions team, leading a team for 5 people comprised of engineers and machine learning scientists.
• Extended the machine learning platform by creating a job execution service which increased number of jobs which can be run at
• a time by 10000%.
• Data engineered and deployed several ML models giving personalized recommendations to millions of users in several countries
• Re-engineered critical machine learning pipelines using AWS step functions which reduced time by 50% and cost by 90%.
• Led effort to implement a pricing engine which uses reinforcement learning to update client prices for the customer.
• Led effort and designed integration points with external partners along multiple channels.
• Managed internal and external stakeholders to align on business outcomes and designed systems to achieve those outcomes.

Jul 2020 – Apr 2022 · 1 yr 9 mos · Seattle, Washington, United States

• Worked for the Alexa for PC UWP app and another undisclosed Alexa application.
• Developed and tested cloud solutions enabling the team to turn on/off app features remotely.
• Led effort to completely revamp core orchestration of Alexa UWP app. Provided technical direction and overall designs which
• were reviewed and approved by five teams across two sub organizations.
• Revamped the entire audio input mechanism for Alexa UWP app which led to decrease in User Perceived Latency (UPL) by up to 50%.
• Designed and developed audio pipeline for a new Alexa application which multiple partners are going to utilize.
• Mentored and evaluated intern to successful completion of project.

Feb 2020 – May 2020 · 3 mos · Greater New York City Area

• Built features for machine learning model training, testing, and inference on the company's medical imaging AI platform.
• Designed and developed the machine learning model deployment framework, allowing users to deploy models on the platform
• Collaborated with partners to integrate their machine learning models with the AI platform.

Sep 2019 – Feb 2020 · 5 mos · Greater New York City Area

Jan 2019 – May 2019 · 4 mos · Greater New York City Area

Jan 2019 – May 2019 · 4 mos · Greater New York City Area

May 2019 – Aug 2019 · 3 mos · Greater Seattle Area

• Interned for the Alexa for PC team
• Designed, developed and tested grouping of smart home devices and controlling those groups for the Alexa PC UWP app using C# and XAML.
• Efficiently synced cloud data with the app and implemented CRUD operations.
• Designed UI for the features and linked it with the logic using MVVM pattern to create a smooth user experience.
• This feature was then subsequently released in production and used by millions of users

May 2017 – Aug 2017 · 3 mos · Remote

• Contributed to Theano, which is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently.
• Achieved a speedup of 40% on GEMM convolution implementations by implementing several optimizers and completely overhauling the outdated Meta-optimizer.
• Developed and tested forward and backward passes for 2D and 3D grouped Convolutions. Each operation was implemented for both the CPU and GPU using Python, C++, CUDA and CUDNN.
• Analyzed the source code/conventions of TensorFlow, Caffe and Torch to ensure maximum cross compatibility.
• Implemented and tested 2D and 3D Separable Convolutions.
• 17 pull requests, 180+ commits and 4000+ lines of code contributed.