Hi, I'm Divyansh Chandarana
Computer Science @ Arizona State University
Building production software at the intersection of backend systems and applied AI. Shipping high-volume services and reliability-first tooling—from Payments APIs at Amazon to accessibility-first transcription platforms at ASU—turning messy operational workflows into clean, scalable systems.
Backend & Distributed Systems
AWS, Java/Python APIs, reliability, observability, rollout safety
AI Systems in Production
ASR pipelines, task queues, evaluation, accessibility-first outputs
Full-Stack + iOS Delivery
Next.js + FastAPI apps, SwiftUI products, real UX and edge cases
4
Shipped Projects
2
Roles
Live
Production Systems
About
Impact-driven engineering, shipped in production
What I Work On
Focused on backend/cloud engineering and applied AI systems where reliability matters. Building APIs, pipelines, and automation that reduce manual load, improve observability, and ship safely under real traffic. Recent work includes a production transcription platform used across live university programs and a distributed Payments API at Amazon operating at high daily volume.
How Impact Is Measured
Optimizing for outcomes that teams feel: faster debugging, fewer manual steps, clearer metrics, and systems that stay stable as usage scales.
Key Highlights
- Shipped a distributed Payments compliance API at Amazon handling 250K+ requests/day, deployed with staged rollouts and zero-downtime releases
- Improved performance and reliability with observability-first instrumentation—cutting p99 latency by 17.8% and speeding detection/recovery by 22%
- Built an accessibility-first transcription platform at ASU serving 12,760+ learners, standardizing output quality and reducing manual operations
- Led Claude Code enablement across cross-functional course teams—Canvas-connected workflows, troubleshooting, and guided adoption sessions
- Delivered a SwiftUI study spot finder with MapKit + filtering + offline favorites + Apple Maps deep linking
Featured Projects
Production systems and products—backend, AI, and mobile
AI Transcript Platform
Accessibility-first transcription → clean, WCAG-friendly HTML at scale
Production transcription pipeline for university programs: file ingestion, background processing, and structured HTML generation for screen readers and web delivery.
Claude Code Enablement
Agentic AI adoption → Canvas-connected workflows for course teams
Department-wide rollout enabling non-technical course teams to use agentic AI workflows through Claude Code with Canvas LMS integration.
SignalQ
QR-based feedback + rewards → multi-tenant SaaS for local businesses
Dynamic QR flows that route customers to location-specific feedback and incentives, backed by a business dashboard for analytics and follow-up.
StudySpace AZ
Native iOS study spot finder → map + smart filtering + offline favorites
SwiftUI app using CoreLocation + MapKit + SwiftData to surface study-friendly venues with search, scoring, persistence, and deep links to Apple Maps.
Professional Experience
Shipping impact across Payments, education, and internal tooling
Amazon
Software Development Engineer Intern
Delivered a distributed Compliance API on AWS with production observability, rollout plans, and performance tuning under real traffic.
- Owned an end-to-end API service deployed to production, processing 250K+ daily requests across global marketplaces
- Instrumented CloudWatch metrics, structured logs, and alerts—improving failure detection and recovery speed by 22%
- Reduced p99 latency by 17.8% via async handling, targeted refactors, and caching strategies
- Worked through design reviews, code reviews, and staged rollouts to meet availability, security, and performance requirements
Arizona State University (Learning Enterprise)
Research Analyst / Software Developer
Building production AI + automation workflows that reduce operational overhead and improve accessibility across live university programs. Also leading Claude Code enablement for cross-functional course teams.
- Built and deployed an AI transcription platform supporting live program delivery, improving accessibility for 12,760+ learners
- Implemented pipeline and ETL workflows across Python/SQL/AWS/Docker for ingestion, preprocessing, and analytics delivery
- Drove reliability improvements through metrics, monitoring views, and stakeholder-ready reporting for accuracy/latency/usage
- Led migration work toward lower-latency, lower-cost inference infrastructure (on-prem / Apple silicon)
- Led Claude Code + Canvas MCP enablement across course design teams—setup, troubleshooting, and guided adoption sessions
Skills & Expertise
A practical toolkit across backend, cloud, and applied AI—built for shipping
Skill Proficiency
Tech Stack Distribution
Technical Skills
Languages & Frameworks
Cloud & Infrastructure
Engineering Fundamentals
Applied AI Systems
Let's Connect
Interested in collaboration or just want to chat about tech?
divyanshc097@gmail.com
Divyansh Chandarana
GitHub
@dchandarana07
Location
Tempe, Arizona
Open to full-time roles starting Summer 2026.
Interested in Software Engineering, Backend/Cloud, and Applied AI Systems.