Software Development Engineer, AWS.
Feburary 2023 — present
Team - Frontier.
- Built Dynamo db based feature flag for Frontier overlay territories using AWS lambda.
- Built Feature flag based on AWS AppConfig for Frontier overlay territories.
Hello, This is Pavan Kumar Raja ,
I am a seasoned software engineer with over 5 years of experience in building products which are consumed by millions of users. I am curiosity-driven, a self-starter, adept at learning new things, and have experience converting ideas into products. Further, I have earned MS with a specialization in AI. Currently, I am very passionate about applications of AI in planning and policy generation, and looking for opportunities to build and contribute to experiences that elevate my passion and have a positive impact all around.
Python
90%
ReactJS/ JavaScript
75%
C++
60%
Pytorch
70%
Planning and Policy generation
85%
Deep Learning in Visual computing.
65%
Natural Language Processing
60%
Team - Frontier.
- Built Dynamo db based feature flag for Frontier overlay territories using AWS lambda.
- Built Feature flag based on AWS AppConfig for Frontier overlay territories.
MS in Computer Science with specilization in AI.
Relevant coursework - Algorithms, System security, Planning and policy generation in AI, Deep learning, Natural language processing, Statistical machine learning, Robot learning in human-robot collaboration, Knowledge representation and reasoning in planning domain, and Data visualization.
- Graduate Teaching Assistant for Deep Learning in computer vision - Spring 2022
- Graduate Teaching Assistant for Software Security and Information Science - Fall 2022
Team - Motorola Digital Account.
- Drove and implemented endpoint encryption for 3-way web communication (client, server, partner).
- Prototyped quick pay using camera and gesture for MDA application.
- Built a security library on android for secured log storage and biometric authentication.
Team - Cloud Services.
- Automated critical software updates by leveraging Motorola’s context awareness ML engine resulting in 98% security update uptake.
- Led update generation architecture redesign and development, moved to object-oriented parallel processing architecture including support for multiple vendors and saving 30% in computational resources on build servers.
- Brought up virtual A/B updates on Motorola Android devices, reducing memory footprint by 40% and pushing OS uptake rate to 90%.
- Built a suite of python scripts to analyze update layouts to aid in product design.
Team - Update Services.
- Brought up seamless software update architecture into Motorola update devices and reduced return device margin by 90% and increased OS update rate from 70% to 90%.
- Investigated and implemented package size reduction techniques to reduce cloud storage by 20%.