About Me

Hello, This is Pavan Kumar Raja ,
I am a seasoned software engineer currently working at AWS as an SDE-2. I have over 6 years of experience in building products consumed by millions. 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 and very passionate about applications of AI in planning, policy generation and automation. I am looking for opportunities to build and contribute to experiences that elevate my passion and have a positive impact all around.

Programming Skills

Python

90%

ReactJS/ JavaScript

90%

C++

60%

Pytorch

70%

Other Skills

Gen-AI, prompting & agents

90%

Deep Learning in Visual computing.

70%

Planning and Policy generation

70%

SDE I/II, AWS.

Feburary 2023 — present

Team - SMGS Frontier.
- Led design and development Planning Advisor (Crystal AI), a 1P Generative AI based conversational assistant that will be primarily available in all SMGS Ops Sales Planning tools SPOG as a pluggable UI to address policy related questions, domain knowledge and planning tools applications specific insights.
- Designed and developed Sales Hierarchy (SH) rule based user permissions to provide consistent permissions across the entire planning tools portfolio.
- Automated Near Real-time revenue aggregations flow to the Revenue Management System.
- Key contributor in building Crystal - a centralized platform for reviewing revenue information at the territory, customer, and account levels, with contributions across fullstack along with Implementation of ETL to bring in account, territory and customer level revenue data.
- Implemented data sourcing ETL and processing for Sell-To and Sell-Through revenue assignments.
- Built AWS revenue exception override logic in revenue aggregator rules to resolve conflicts between overlap of annual and current year planning.

Graduate Student, Arizona State University

August 2021 — December 2022

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

Senior Software Engineer, Motorola Mobility LLC

Jan 2018 — July 2021

Team - Motorola Digital Account.
- Implemented endpoint encryption for secure 3-way web communication.
- Prototyped a quick pay feature using camera and gestures, and developed a security library to secure biometric authentication info.
- Automated software updates with Motorola’s ML engine, achieving 98% security update uptake.
- Introduced virtual A/B updates on Moto devices, reducing memory usage by 40% and boosting OS update uptake from 70% to 90%.

Software Engineer, Motorola Mobility LLC

July 2016 — Dec 2018

Team - Cloud Services.
- Brought up seamless software update architecture into Motorola update devices reducing return device margin.
- Redesigned update generation architecture with parallel processing, saving 30% in computational resources.
- Built a suite of python scripts to analyze update layouts to aid in product design.
- 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%.