bash — 80x24 — aaditya@gatech

aaditya@systems:~$curl -s https://aadilabs.fyi/whoami | jq .

M.S. CS @ Georgia Tech (4.0 GPA) • SDE Intern @ AWS • Ex-Tech Lead @ Ridecell

Aaditya Joshi (AJ)

Software Engineer specializing in Distributed Systems, Query Optimization, and High-Throughput Data & AI Pipelines.

4+ years building and owning mission-critical production backends—from 0-to-1 international platform launches across Germany, Spain, and Belgium, to Dagster pipelines processing 100K+ vehicles, and AWS batch APIs collapsing 50 client calls into 1 with atomic idempotent retries.

flags:location="Atlanta, GA / Seattle, WA"relocation="open"gt_focus="scalable_systems_&_ml"ta="bayesian_statistics_400_students"
AWS Scale
276K+

Developers on AWS Builder Center platform

Fleet Telemetry
100K+

Connected vehicles across Germany, Spain & Belgium

Latency Cut
16s → 4s

75% drop via ORM profiling & materialized views

Georgia Tech GPA
4.0 / 4.0

MS CS (Machine Learning & Scalable Systems)

Teaching Impact
400+/sem

Students mentored as Bayesian Statistics TA

Platform Uptime
99.999%

Sustained high availability; <1 hr SEV1/2 MTTR

// 01. ARCHITECTURE & SYSTEMS ENGINEERING

Interactive System Deep-Dives

Real-world distributed systems, query optimization breakthroughs, and streaming pipelines built and shipped to production. Inspect the architectural trade-offs, benchmarks, and interactive workflows below.

Amazon Web Services (AWS)•May 2026 - Aug 2026

AWS Builder Center: 50-to-1 Batch API & Non-Account Invite Engine

JavaAWS LambdaDynamoDBAWS CDK
The Engineering Problem & Bottleneck

Membership sync operations generated up to 50 independent REST calls per client action, causing network cascade latency, non-atomic partial failures, and high client-side retry orchestration. Furthermore, the platform had zero onboarding path for developers without an active AWS account.

Operational Context & Scope

AWS Builder Center is a critical builder engagement platform serving over 276,000 active users. Platform required membership synchronization and non-account acquisition under high-load enterprise environments.

INTERACTIVE ARCHITECTURE SIMULATOR
Click controls to toggle execution states
Execution Mode:
1. Client Batch Request

Client dispatches 1 consolidated payload containing 50 user updates with idempotency token.

POST /api/v1/memberships/batch
Payload: 50 items • 1 HTTP roundtrip
2. Lambda Atomicity Layer

Lambda verifies tokens, executes DynamoDB TransactWriteItems ensuring all-or-nothing rollback.

Latency: ~180ms total
Concurrency: 40 TPS resilience validated
3. Guaranteed Result

1 response returned with per-record status. Zero partial state corruption; zero cascade retries.

Success rate: 100% week-one
Network reduction: 98%
Signed Invite Engine: ~200ms generation • ~150ms resolution latency (Platform's 1st non-account funnel)
GDPR RTBF/DSAR automation integrated
System Engineering Highlights
ARCH_KEY_01

Batch Processing Engine: Engineered batch REST API collapsing 50 single-record client roundtrips into a single idempotent payload with per-record atomicity and DynamoDB TransactWriteItems.

ARCH_KEY_02

Shareable Invite Link Service: Built high-performance signed invite token service achieving ~200ms generation and ~150ms resolution latency, creating the platform's first non-account acquisition funnel.

ARCH_KEY_03

Production Hardening & Compliance: Hardened with canary deployments, per-API CloudWatch alarms, automated GDPR (RTBF/DSAR) purge/export pipelines, and load tested to 40 TPS resilience.

Network Call Ratio
50 : 1
Collapsed 50 roundtrips into 1 payload
Resolution Latency
~150ms
Signed token verification & resolution
Week-1 Production Success
100%
600+ link generations, 200+ new user signups
Resilience Benchmark
40 TPS
Validated under simulated spike traffic
// 02. PRODUCTION ENGINEERING EXPERIENCE

Work Experience & Leadership

Leading engineering initiatives from early-stage system design through international multi-region production rollouts.

Software Developer Intern

Internship
Amazon Web Services (AWS)Seattle, WA
May 2026 - Aug 2026
$ context:Built & shipped 3 production features for AWS Builder Center (276K+ developer users) using Java, ReactJS, Lambda, DynamoDB, and AWS CDK.
  • Architected membership management batch REST API collapsing 50 single-record client calls into one payload with per-record atomicity and idempotent retries.
  • Designed and implemented shareable invite-link service with ~200ms generation and ~150ms resolution latency, establishing the platform's first non-account acquisition path (100% production success in week one, 600+ generations, 200+ signups).
  • Hardened production systems: canary deployments, per-API CloudWatch alarms, automated GDPR (RTBF/DSAR) purge/export pipelines, and load tested system resilience up to 40 TPS.
// stack:JavaAWS LambdaDynamoDBAWS CDKReactJSREST APIsCloudWatchDistributed SystemsGDPR

Lead Software Engineer — Fleet Intelligence

Full-time
Ridecell (YC S12)Pune, India / International
Jul 2021 - Jul 2025
$ context:Primary Tech Lead for 0-to-1 development and launch of core fleet management products across Germany, Spain, and Belgium, directing systems from initial design through high-scale production.
  • Reduced core API endpoint latency by 75% (16s down to 4s) via targeted compound indexing, Django ORM query profiling, and materialized views for read-heavy workloads.
  • Designed and deployed Dagster data pipelines processing 100s of GBs of hourly & daily telemetry from 100,000+ connected vehicles for predictive fleet intelligence.
  • Integrated Claude and PydanticAI to automate metric visibility via a multi-step verification loop, slashing manual dashboard creation time by 60%.
  • Maintained 99.999% platform uptime and resolved SEV1/SEV2 incidents in < 1 hour via automated CI/CD and production monitoring.
  • Re-architected legacy backend services, modernizing ~200 outdated dependencies and resolving critical CVE security vulnerabilities.
  • Led a team of 3 full-time software engineers and mentored 2 interns to complete feature ownership within 6 weeks.
// stack:PythonDjangoFastAPIPydanticAIClaudeDagsterPostgreSQLRedisCeleryRabbitMQDockerKubernetes

Research & Development Intern

Internship
Control Tech SystemsPune, India
Jan 2021 - Mar 2021
$ context:Industrial automation and embedded firmware engineering for commercial manufacturing systems.
  • Engineered Arduino-based electric roll press prototype in C/C++ and developed PLC automation sequences for industrial packaging equipment.
  • Benchmarked 10 distinct electrical components to optimize cost, electrical durability, and industrial operational reliability.
// stack:C/C++ArduinoPLC AutomationHardware InterfacingEmbedded Systems
// 03. ACADEMIC RIGOR & COMPUTER SCIENCE FOUNDATIONS

Academics, Teaching & Research

Rigorous foundations in Graduate Algorithms, Bayesian Inference, Machine Learning, and Distributed Scalable Systems.

Georgia Institute of Technology

M.S. in Computer Science — Machine Learning & Scalable Systems
Aug 2025 - Dec 2026
GPA: 4.0 / 4.0 (Perfect)Teaching Assistant: Bayesian Statistics (3 Semesters)Atlanta, GA
  • >Teaching Assistant for Bayesian Statistics mentoring ~400 graduate students per semester in probability, statistical inference, MCMC algorithms, and Bayesian hierarchical modeling.
  • >Focus on distributed systems scalability, low-latency microservices, and modern ML/DL model optimization.
Graduate Computer Science Coursework:
Graduate Algorithms (CS 6515)Deep Learning (CS 7643)Bayesian Statistics (ISYE 6420)Machine Learning (CS 7641)Computer Networks (CS 6250)

Indian Institute of Information Technology, Pune (IIIT Pune)

B.Tech in Computer Science & Engineering
2017 - 2021
Pune, India
  • >ACM-ICPC 2020 Nationwide Rank 935 / 3,200 top competitive programming teams.
  • >Smart India Hackathon 2020 National Finalist for high-concurrency public service employment platform.
  • >Active member of Algorithms & Systems Development cell.
HONORS & COMPETITIVE PROGRAMMING
MLH Hack-cessible Hackathon 20211st of 150+ teams
Major League Hacking (MLH) • 2021

1st Place Grand Winner for 'Someity' web accessibility browser engine.

Pitch Perfect 2021Grand Prize
MLH Tech Community • 2021

Grand Prize Winner for best product demonstration and user accessibility impact.

Smart India Hackathon 2020National Finalist
Govt. of India & AICTE • 2020

National Finalist selected from tens of thousands of participants for public-sector challenge.

ACM-ICPC 2020Rank 935 / 3,200
International Collegiate Programming Contest • 2020

Nationwide competitive programming contest ranking 935 out of 3,200 teams.

// 04. OPEN SOURCE & VERIFIED SYSTEMS

Open Source Contributions & Products

Verified contributions to major open-source codebases, international hackathon-winning tooling, and high-concurrency platforms.

🏆 1st Place Winner

Someity

Accessible Chromium Web Extension • MLH Hackathon Winner

Engineered an open-source Chromium extension that transforms webpage accessibility in real-time without requiring source-code modifications. Implemented contrast remediation, text-to-speech, font reshaping, and screen-reading overlays.

•140+ Active Users across 28 Countries
•1st Place: MLH Hack-cessible Hackathon 2021
•Winner: Pitch Perfect 2021
•Featured on Product Hunt
JavaScriptChromium APIsAccessibility (a11y)WCAG 2.1DOM Manipulation
explore_project()
6k+ ★ Open Source

Weblate Core Localization Engine

Open Source Contributor • 6k+ GitHub Stars

Contributed to the core codebase of Weblate (6k+ stars, web-based continuous localization system in Python/Django). Engineered a REST API endpoint to retrieve comment lists for translation units with filtering and pagination, improving programmatic CI/CD localization workflows.

•Merged into Core Weblate Repository
•Standardized Translation Comments API
•Fixed Local Environment Onboarding Specs
PythonDjangoREST APIsPostgreSQLOpen SourceCI/CD
explore_project()
🇮🇳 National Finalist

High-Concurrency Job Portal (SIH Grand Finale)

Smart India Hackathon 2020 Finalist

Architected an end-to-end recruitment and candidate verification platform for the Smart India Hackathon 2020 Grand Finale. Implemented role-based access control, applicant tracking, and dynamic candidate screening under high concurrency.

•National Finalist out of tens of thousands of applicants
•High-Concurrency Applicant Screening Pipeline
•Multi-Tenant Role Based Access Architecture
PythonDjangoPostgreSQLJavaScriptDocker
explore_project()
// 05. TECHNICAL MATRIX & SPECIALIZATIONS

Technical Stack & Systems Tooling

Languages, frameworks, data architectures, and infrastructure tested and delivered in high-load production environments.

CORE PROGRAMMING LANGUAGES
Python
Production / 4+ yrs
Java
Production (AWS Builder Center)
C/C++
Algorithms & Systems Foundations
Rust
Systems & Memory Safety
JavaScript / TypeScript
Production (React, Node, Extensions)
SQL
Advanced (PostgreSQL, Profiling, Materialized Views)
Backend & Distributed
  • >Django & Django REST Framework (DRF)
  • >FastAPI & Pydantic
  • >Spring Boot & Hibernate
  • >Celery & Distributed Task Queues
  • >RabbitMQ & Kafka Event Streaming
  • >RESTful API Architecture & Batch Endpoints
  • >Microservices Concurrency & Idempotency
Storage & Data Architecture
  • >PostgreSQL (Indexing, EXPLAIN ANALYZE, Partitioning)
  • >Amazon DynamoDB (Batch & Transactional Writes)
  • >Redis (Hot Layer Caching, Session Stores)
  • >Dagster (Orchestrated Asset Pipelines)
  • >MySQL & MongoDB
Cloud & DevOps
  • >AWS (Lambda, DynamoDB, CDK, CloudWatch, S3, IAM)
  • >Docker & Containerization
  • >Kubernetes & Pod Orchestration
  • >CI/CD Pipelines (GitHub Actions)
  • >Canary Deployments & Zero-Downtime Rollouts
  • >GDPR Compliance (RTBF / DSAR Purge)
  • >Grafana & Production Telemetry Monitoring
AI Systems & Inference
  • >PydanticAI (Structured Agent Loops & Reflection)
  • >Anthropic Claude & OpenAI APIs
  • >MCP (Model Context Protocol)
  • >PyTorch (Deep Learning Coursework)
  • >Bayesian Inference & MCMC (Teaching Assistant)
  • >RAG & Semantic Retrieval Architectures
Computer Science & Systems Rigor
>Distributed Systems & Fault Tolerance
>Advanced Graduate Algorithms & Complexity
>Query Optimization & Database Internals
>Bayesian Statistical Inference
>Computer Networks & Socket Protocols