About Me

Get to know more about my journey and expertise

Aditya Jariwala

Aditya Jariwala

Senior Software Engineer

Capital One
Chicago, IL

My Story

I'm a Senior Software Engineer at Capital One, where I architect AI/ML-powered, cloud-native applications that process millions of daily transactions. With a Master's degree in Computer Science from UT Austin and a dual Bachelor's in CS and Mathematics from Purdue, I bring both theoretical depth and practical expertise to every project.

My career spans the full spectrum of modern software engineering—from mentoring others Linux and Kubernetes at Red Hat Academy, to building ML-based insights for enterprise Kubernetes platforms at D2iQ, to my current role developing scalable systems, high-volume ETL pipelines, and real-time APIs in financial services. I've contributed to open-source healthcare projects like ChRIS, and built everything from credit risk scoring systems to AI chatbots.

I specialize in the intersection of artificial intelligence, distributed systems, and cloud-native architecture. Whether it's designing ML pipelines, optimizing Kubernetes deployments, or building high-throughput APIs, I love solving complex technical challenges that have real-world impact.

Experience

Senior Software Engineer

Capital OneChicago, ILPresent

Leading development of cloud-native applications, ETL pipelines, and real-time APIs processing millions of daily transactions in financial services.

  • Architected and deployed scalable microservices, real-time APIs, and data pipelines on AWS (ECS, Lambda, Glue, SQS, Step Functions)
  • Led cross-functional engineering teams partnering with external vendors (Experian, CreditSesame, CreditKarma, NerdWallet) to prescreen millions of customers daily
  • Translated non-technical business & stakeholder intents to concrete engineering plans
  • Implemented comprehensive CI/CD pipelines and automated testing reducing deployment time by 60%
  • Mentored junior engineers and established best practices for cloud-native development

Machine Learning Engineer II

D2iQ (acquired by Nutanix)Remote, U.S.2022 - 2023

Developed ML-based insights and AI capabilities for enterprise Kubernetes platform (DKP).

  • Built AI Navigator chatbot for DKP platform using machine learning and NLP
  • Developed ML-based insights engine for Kubernetes cluster optimization and troubleshooting
  • Contributed to enterprise-grade Kubernetes platform serving Fortune 500 companies
  • Integrated machine learning workflows into container orchestration systems
  • Collaborated with product and engineering teams to deliver AI-powered platform features

Technical Consultant

Red HatRemote, U.S.2020 - 2022

Consultant for public-sector clients, focusing on automation and cloud-migration.

  • Led on-prem to cloud-migration efforts for government agencies and other public sector clients
  • Converted legacy monolith architecture to scalable Kubernetes microservices
  • Automated major SDLC components using Ansible to save clients hundreds of developer-hours
  • Contributed to open-source projects like RHEL and other Linux projects
  • Mentored consultants on best practices, taught university students about Linux and open-source software

Psychological Operations Specialist

U.S. Army ReservesPeru, IN2017 - 2025

PSYOP Specialist based in 316th PSYOP company

  • Obtained Secret level Clearance
  • Led detachment of soldiers in training and real-world scenarios
  • More information upon request

Education

M.S. in Computer Science

University of Texas at Austin

2021 - 2023

Austin, TX (Online)

Deep Learning, Natural Language Processing

  • Specialized in NLP, Teaching Assistant for class while working full-time
  • Focused on advanced modeling techniques, math, and predictive analytics
  • Completed advanced coursework in OS, Virtualization, and Parallel Systems

B.S. in Computer Science & Mathematics

Purdue University

2016 - 2020

West Lafayette, IN

Double Major: Computer Science and Mathematics

  • Graduated with double major in Computer Science and Mathematics
  • Strong foundation in algorithms, data structures, and mathematical modeling
  • Completed coursework in machine learning, software engineering, and systems programming
  • Mathematics focus in real and complex analysis, group/ring theory, and abstract algebra

Skills & Technologies

Languages

PythonGoTypeScriptJavaScriptJavaC#SQL

Frontend

ReactNext.jsAngularVue.jsTailwind CSSTypeScript

Backend

Node.jsFastAPIExpressSpring BootGraphQLApache Camel

AI/ML

TensorFlowPyTorchScikit-learnPandasNumPySparkMLOps

Cloud & DevOps

KubernetesDockerAWSGCPTerraformHelmArgoCD

Data

PostgreSQLMongoDBRedisKafkaElasticsearchData Pipelines

Tools

GitCI/CDJenkinsGitHub ActionsLinuxAgileSystem Design

My Approach

I believe in writing clean, maintainable code that not only solves problems but is also a joy to work with. My approach combines:

  • User-First Thinking: Always keeping the end user in mind when designing solutions
  • Continuous Learning: Staying updated with the latest technologies and best practices
  • Collaboration: Working closely with teams to deliver exceptional results
  • Quality Over Quantity: Focusing on well-tested, optimized solutions