Aditya Bajaj | Senior Software Engineer

< About />

Hello there, I'm Aditya Bajaj, a Senior Software Engineer currently based in Seattle, WA. I'm working at Oracle (OCI - OKE), where I focus on cluster node observability, and managing cloud infrastructure at scale. Previously, I was a Software Development Engineer at Amazon, where I was a core developer of the next-generation container execution data store for Middle Mile Sortation and Transportation technology.

I completed my Masters in Software Engineering at Arizona State University, USA, after my Bachelors in Computer Engineering from the University of Mumbai, India.

I'm committed to maintaining cutting-edge technical skills and am always looking for opportunities to leverage my developer skill sets. I demonstrate quick grasping power & strong work ethics, along with a good sense of responsibility and leadership in all of my work.

When I'm not thinking about tech, I'm probably playing Chess or the Piano, or reading some Jack Reacher novel.

< Experience />

Senior Software Engineer

Oct 2024 – Present

Oracle (OKE)

Focused on enhancing node visibility & observability within Oracle Kubernetes Engine (OKE) to optimize speed and performance.

Architecture Agnostic Instance Launch
• Migrated from CPU-specific to multi-architecture nodepools, eliminating duplicate configs & cutting setup time by ~60% across 36 teams.
• Supported 10,000+ daily node launches by integrating ComputeManagement & adding backward-compatible API routing.
• Reduced MTTR by ~40% by shipping 20+ integration tests and ensuring full operational readiness.

Diagnostics Data Platform
• Designed a one-click, self-service diagnostics workflow using TypeScript, replacing manual log collection from customer nodes.
• Orchestrated diagnostics execution across Management & Control Plane services, enabling secure log collection & retrieval from nodes.
• Eliminated customer-driven log collection and SSH dependency, reducing turnaround time from days to minutes.
• Built real-time status tracking & idempotent request controls, preventing conflicts & improving reliability under concurrent usage.
• Persisted log bundles to OCI Object Storage and exposed pre-authenticated request (PAR) URLs for secure self-service retrieval.
• Enabled AI-assisted analysis of support bundles using Codex skills, surfacing likely root causes and reducing manual log inspection.

Technologies used: Java, Python, Go, Terraform, Docker, Kubernetes, Helm, TypeScript, OCI – OKE, Compute, Object Storage

Software Development Engineer

July 2021 – Oct 2024

Amazon (SortTech)

• Core developer of the next-gen container store & execution for Amazon Middle Mile, built to sustain 10x growth in package volumes.

Package Load Securement Photo Validation
• Devised a frontend workflow in the associate dock safety handheld tool to detect package securement issues in outbound trucks.
• Utilized AWS Rekognition to ensure packages in trucks are properly strapped & sealed before closing.
• Identified an avg of 3,000 defects per week globally, with a decreasing trend attributed to heightened associate awareness.

Sideline Package Process App
• Created an innovative service for virtually handling problematic packages within a facility, which earlier required dev intervention.
• Strategically used AWS Lambda for processing low-traffic events, emphasizing optimal resource utilization and cost-effectiveness.
• Achieved 30% improvement over the previous manual process, translating to global cost savings of $6 million.

Compliance Process App
• Transitioned the EU customs declaration process from a manual paper-based system to a streamlined virtual process.
• Orchestrated declaration of packages via SQS events & detection of package count discrepancies using AWS Fargate.
• Achieved a 3-hour reduction in processing time at facilities and an annual cost saving of over $3 million.

EventBus Migration
• Led an org-wide campaign of 28 teams to migrate their services off of EventBus & onto SNS for message publishing.
• Ensured seamless client transition preventing any data loss by dual-publishing events via SNS alongside EventBus.
• Achieved annual savings of $360k & 25% decrease in CPU usage for our 1.5M messages/min traffic.

Technologies used: Java, Spring, React, AWS – SNS, SQS, S3, CloudFormation, DynamoDB, ECS Fargate, Lambda, IAM, Rekognition

Web & Mobile App Developer

AUG 2020 - May 2021

Adidas – ASU Center for Engagement Science

• Developed a Python program to analyze emotions & attentiveness of individuals in a meeting.
• Devised an online game to quantify the perception of various psycho physical metrics in a simulated dynamic environment.
• Used AWS S3 for hosting, AWS Rekognition for image analysis & Firebase for maintaining a real time NoSQL Database.

Technologies used: Python, AWS, OpenCV, HTML, CSS, JavaScript, Firebase

FEB 2018 - APR 2018

Head App Developer

Mumbai

Shree Pratishthan NGO

• Crafted an Android app using Android Studio to bolster the NGO’s digital presence & facilitate effective communication with clients.
• Implemented a Gallery module & Firebase database for users to enrich user experience.

Technologies used: Android Studio, Java, Firebase

Intern

JULY 2018 - AUG 2018

SKADA Technology Pvt Ltd

• Implemented programs on Raspberry Pi & sensors such as DHT11 & PIR using Python.
• Low cost home automation alternatives such as Temperature manager & Smart Lighting systems were designed & developed.

Technologies used: Python, C, Raspberry Pi

Technologies used: Python, AWS, OpenCV, HTML, CSS, JavaScript, Firebase

< Education />

Arizona State University

AUG 2019 - MAY 2021

Masters in Software Engineering

AUG 2015 - MAY 2019

University of Mumbai

Bachelor of Computer Engineering

< Projects />

Stress Detection and Mgt using IOT & Machine Learning

Detected stress using fundamentals of IOT and Machine learning with an accuracy of over 91%.
Collected the heartbeat of a person using a heartbeat sensor and sent the data over to a server using a NodeMCU chip.
Applied KNN algorithm on this data to detect whether the person could be in stress.
Developed an Android application to show the results of the model, suggest remedies and help book appointments with local doctors.

Technologies used: C, Java, Python, Arduino IDE, Android Studio

Fyltr

Created a website & web extension using React to suggest charities to a user, depending on the nature of the news read by them.
Made API calls to scrape current webpage text, extract keywords & generate suggestions.
Currently developing a cross platform mobile application using React Native to maximize reach.
Accepted into Mozilla’s Incubator Open Lab program for Startups.

Technologies used: React, AWS, Python

Movie Recommendation System

Built a recommendation system using Collaborative Filtering, which suggested movies to a user based on their history.
Determined similarity between each user & the input user through the Pearson Correlation Function.

Technologies used: Python, Pandas, Scikit-Learn

< Skills />

Python • Java • Go • C • C++ • C# • SQL • TypeScript

HTML5 • CSS • JavaScript • Node.js • React.js • React Native • PHP

PostgreSQL • MySQL • MongoDB • Spring • REST API • Git • Linux

Docker • Kubernetes • Helm • Terraform • MCP • AI Agent Orchestration

AWS : - Lambda • Fargate • SNS • SQS • S3 • DynamoDB • EC2 • Rekognition • CloudWatch

OCI : - OKE • Compute • Object Storage • IAM • Registry

< Certifications />

Applied Data Science with Python • Applied Data Science with R • Build Your Own Chatbot • Deep Learning

Data Analysis with Python • Data Visualization with Python • Machine Learning with Python • AWS Concepts • AWS Essentials

Front-End Web UI Frameworks and Tools: Bootstrap 4 • Front-End Web Development with React • Multiplatform Mobile App Development with React Native