Apr 2024 – Aug 2024 · 4 mos

Apr 2023 – Jun 2024 · 1 yr 2 mos

• Planned the road map for FY'22 and helped in critical leadership hiring.
• Raised the hiring bar and expanded the team from 3 to 8.
• Developed key solutions(as IC) in security, routing, RTO and MLOps while managing these pods.
• Leading key initiatives in LLMs, security and compliance and 2 moonshot projects.
• Member of AI council.

May 2022 – May 2023 · 1 yr

Aug 2021 – Jun 2022 · 10 mos

• Building ML platform for Razorpay
• Managing the data science vertical and team

Jan 2022 – Aug 2024 · 2 yrs 7 mos · Greater Bengaluru Area

• Working with 8 mentees and carving their path to success.
• https://www.scaler.com/academy/mentor/profile/pranjalmyadav/

Dec 2020 – Aug 2021 · 8 mos · Bangalore Urban, Karnataka, India

• Built Send Time Optimization module customised targeting using RL.
• My work led to a paper and a patent for the org.

Jan 2020 – Aug 2021 · 1 yr 7 mos · Greater Toronto Area, Canada

• AlphaHub is on a mission to help everyone with easy access to AI development and deployment. AI has made great progress in recent years especially in computer vision and natural language processing, yet, the biggest challenges in medical sciences, health & safety and deep analysis are unexplored. Empowering students, institutes, developers, and researchers to create and test innovative solutions at minimal cost will help in the democratization of AI. Most domain experts fail to utilize the power of deep learning due to programming issues or other deployment problems. AlphaHub plans to tackle these issues and help users with a steady learning curve with continuous integration and feedback loop.

Jan 2020 – Mar 2020 · 2 mos · Toronto, Ontario, Canada

• ▪ Developed neural architecture generator for deep learning model development
• ▪ Created a dynamic and scalable graph interface using flask and jquery
• ▪ Tested various language modeling methods for the recommendation system

Jul 2019 – Dec 2019 · 5 mos

• Developed models for image moderation based on intrinsic image properties
• Developed classification models to handle out-of-domain images without re-training
• Taught computer vision to 300+ colleagues as a part of internal DS academy

Nov 2018 – Jul 2019 · 8 mos

• Created image ranking system based on implicit and explicit feedback loops
• Designed new generators and transforms for original size image inputs to the model
• Added multi-threaded buffer support for real-time slicing of images for granular detection
• Contributing towards the internal computer vision framework

Oct 2017 – Aug 2018 · 10 mos · Hyderabad Area, India

• Last Mile Analytics @ Amazon
• Designing Geo-Fencing solutions for multiple geographies using ML to avoid delivery fraud.
• Time-Series forecasting using LSTM to optimize resource planning cost.
• Deep learning research to advance current methods into self-learning & adaptable methods
• Mentoring team members in ML math/problems/implementations to improve team efficiency

Oct 2015 – Jun 2017 · 1 yr 8 mos · Gurugram, Haryana, India

• Model Validation and Risk Management
• Validation of production models for customer management and acquisition portfolio
• Automation of pipelines for model development life cycle (MDLC) to improve productivity
• Mentoring and consulting multiple teams in ML techniques and the science of hyper-parameters
• Documentation (Bank audit grade) and planning of parallel projects/models for business

May 2015 – Sep 2015 · 4 mos

• Unmoderated mailing lists suffer from the paradox that the more successful they are, the more difficult they are to use and administer because of the increasing number of users and discussions. Traditional solutions to this problem, such as creating static sublists or providing a Web interface, are not always desirable. To solve this I present dynamic sublists, an approach to scaling online communities that increases communication opportunities without overwhelming users or administrators.