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Portfolio / 2026 Open to software engineering opportunities

Hello, I'm Shreyas

Software
engineer.

Software Engineer building scalable full-stack systems, intelligent products, and reliable automation. Currently shipping pharmacy-scale systems at GlobalLogic × Walgreens.

Builder
Portrait of Shreyas Chaudhary

Currently

Software Engineer @ GlobalLogic (Walgreens Boots Alliance)

Full-stack engineering · backend systems · AI products · cloud applications · test automation

About

I'm a software engineer working across full-stack development, backend systems, test automation, and AI-powered applications. I like turning ambiguous problems into clean, testable systems — and owning quality end to end.

Portrait of Shreyas Chaudhary

location: "San Mateo, CA, USA"

role: "SWE @ GlobalLogic"

status: "open_to_work"

Scale

Built distributed systems powering 8,000+ pharmacies nationwide

Research

4 peer-reviewed publications across autonomous vehicles, deep learning, and computer vision

Academics

M.S. Computer Science, Cal Poly Pomona — 4.0 GPA

Range

From React frontends to ROS2 robots to dark-web threat-intel pipelines

Interests

  • Distributed backend systems
  • AI-enabled products
  • Platform & developer tooling
  • Quality engineering at scale

Currently focused on backend, full-stack, and forward-deployed engineering roles where I can own technically complex systems in production.

Timeline

  1. 2026

    Shipping DSCSA-compliant releases of Walgreens RxI — 8,000 stores, 9M+ daily patients

  2. 2025

    M.S. Computer Science, Cal Poly Pomona (4.0 GPA) · Full-stack intern at Method · Joined GlobalLogic as SDE

  3. 2024

    SWE intern at GlobalLogic · Autonomous vehicle research at Cal Poly

  4. 2023

    B.E. Computer Science · Started M.S. in California

“I was lucky to mentor Shreyas during the 2024 summer internship program by GlobalLogic / Method. I was genuinely impressed by the level of commitment he has shown, curiosity and team spirit. He was able to deliver high quality solutions in the multi-team environment, that not only showcased his technical abilities but strong collaborative skills!”

Artem Paskhin

Director, Engineering at GlobalLogic

Experience

Engineering impact across enterprise systems, startups-inside-consultancies, and research labs.

Software Engineer · GlobalLogic (Walgreens Boots Alliance)

Mar 2026 — Present

Chicago, IL · Hybrid

Data-validation services, the build and deploy path, and production debugging for RxI — the pharmacy inventory platform behind 8,000 Walgreens stores and 9M+ daily patients.

  • Built a Java reconciliation service for pharmacy-inventory data, detecting missing, delayed, and mismatched records across REST APIs, Cosmos DB, Azure Storage, and Databricks; eliminated nearly 6 weeks of manual validation per release.
  • Added AI-assisted mismatch classification and investigation recommendations, reducing engineer triage time roughly 30%; evaluated against 100+ resolved mismatches with about 90% accuracy in identifying issue categories.
  • Own the build and deploy path end to end, authoring Jenkins and Azure DevOps pipelines (Docker, Maven) that gate every release on DSCSA compliance, audit, returns, and stock-management checks, shipping 14+ releases.
  • Debugged production failures across application, API, and data layers, isolating a race condition between batch jobs that produced inconsistent downstream records.
JavaREST APIsSwagger/OpenAPICosmos DBAzure StorageDatabricksJenkinsAzure DevOpsDockerMavenCI/CDAI-assisted classification

Software Development Engineer in Test, Internship · GlobalLogic (Walgreens Boots Alliance)

Aug 2025 — Mar 2026

Chicago, IL · Hybrid

Built the Java test-automation framework and API/database validation behind RxI's release gates.

  • Built Java/Selenium/Cucumber automation for 300+ pharmacy workflows across web, mobile, APIs, and backend systems, bringing targeted regression coverage to approximately 65%.
  • Built performance-analysis tooling around JMeter, converting raw load-test output into p90/p95/p99 latency, throughput, and failure-rate reports to catch regressions before release.
  • Built REST API and database validation with Rest Assured, Postman, and SQL, verifying payloads, authentication, and business logic against Swagger/OpenAPI contracts and cross-checking record integrity across 3 distributed data stores.
JavaSeleniumCucumberJMeterTestNGMavenPage Object ModelRest AssuredPostmanSQLSwagger/OpenAPI

Full-Stack Engineering Intern · Method, Inc.

Jun 2025 — Aug 2025

Charlotte, NC

Built TechDash, a technology-discovery platform unifying Method's fragmented catalogs into one searchable, AI-powered model.

  • Built and shipped TechDash in React, Next.js, and TypeScript, turning 5 fragmented technology catalogs into one searchable interface backed by Node.js and Firestore; cut discovery time 60% for a 500-engineer organization.
  • Added natural-language search with Gemini, translating user questions into validated structured queries to help engineers find technologies, projects, tools, clients, and teams through one interface.
  • Designed and enforced organization-wide authorization by modeling a 3-tier RBAC scheme (admin/editor/viewer) with Firebase Auth middleware, server-protected routes, and indexed Firestore queries, making unauthorized access the default-hard path.
  • Delivered real-time CRUD, cross-catalog entity linking, and multi-filter search by engineering full-stack modules in React, Next.js, TypeScript, and Node.js/Express backed by Firestore on Google Cloud Functions.
ReactNext.jsTypeScriptNode.jsExpressFirebaseFirestoreGoogle GeminiGCP

Computer Science Researcher · Cal Poly Pomona (Autonomous Systems Lab)

Aug 2024 — May 2025

Pomona, CA

Autonomous campus ride-sharing research — perception, mapping, and a mobile app for a self-driving campus vehicle.

  • Built a React Native/Expo interface for ride scheduling and live vehicle tracking, integrating GPS telemetry with ROS2 services across 10+ simulated campus routes; reduced location-update latency 30%.
  • Authored two ASEE Conference papers on autonomous vehicles — End-to-End Networks for Vehicle Control and Toward Equitable AV Deployment — covering CNN-based vehicle control and equitable AV deployment frameworks.
  • Engineered a real-time perception pipeline using YOLOv8, reducing false positives in pedestrian detection by 30% for safer navigation.
  • Developed custom costmap layers in ROS2, improving AV navigation accuracy by 35% in dynamic environments.
  • Optimized Gazebo simulation for AV testing, cutting real-world validation costs by 60% and accelerating model iteration speed.
React NativeExpoROS2GazeboGPSYOLOv8CNNsPyTorch

Computer Science Researcher · Cal Poly Pomona (CALSys Lab)

Jan 2025 — May 2025

Pomona, CA

Cyber-threat intelligence research: turning unstructured dark-web content into structured data for ML pipelines.

  • Built Python + Selenium automation to collect and process data through Tor-based browsers from dark-web forums and marketplaces.
  • Helped develop a cyberinfrastructure pipeline transforming unstructured threat content into structured PostgreSQL datasets usable for threat intelligence and ML workflows.
  • Improved the existing threat-intelligence model with new features, identified data gaps, and contributed to a research paper abstract.
PythonSeleniumPostgreSQLTorGitLab

Software Engineering Intern · Method, Inc.

Jun 2024 — Jul 2024

Full-stack features for an enterprise learning portal used by 44,000+ employees.

  • Built interactive assessments, skill-mastery tracking, scoring, and leaderboards in React, backed by Node.js and Firebase; increased learner engagement 25% on an enterprise platform used by 44,000+ employees.
  • Accelerated quiz rollout by 30% by engineering secure 3-role workflows (admin/author/learner) with Google SSO, OAuth 2.0, JWT access control, and REST APIs over Firestore.
ReactNode.jsFirebaseFirestoreOAuth 2.0REST APIs

SAP Intern · Quantum Integrators

Feb 2023 — Jun 2023

Bangalore, India

SAP systems integration and data analysis across B4P, B4D, and B4 environments.

  • Integrated, debugged, and tested system components across SAP landscapes; documented and validated new features.
  • Analyzed datasets using SAP BW S/4HANA and investigated technical issues across environments.
SAP BW S/4HANAEclipse

Education

M.S. Computer Science

GPA 4.0

California State Polytechnic University, Pomona

Aug 2023 — May 2025

Advanced Computer Architecture · Information Retrieval · Big Data & Cloud Computing · Advanced Algorithms · Advanced Software Engineering · Mobile App Development

B.E. Computer Science

GPA 3.75 / 4.0

New Horizon College of Engineering, Bangalore

Jun 2019 — May 2023

Mobile App Development Club · Robotics Club

Selected projects

A rotating shelf of products, experiments, and systems built to answer real questions—not just fill a grid.

Live preview 01
Cloud · Research01 / 17

TypeScript / Three.js / React Three Fiber

RackLAB

Cloud infrastructure is invisible — most engineers never see how a data center physically stays alive.

A walkable, first-person 3D data-center simulator. Explore server halls in a thermal view, trigger cooling and power failures, and watch a live power chain (grid → UPS → generator) respond — all driven by a pure, unit-tested simulation core.

More on GitHub ↗

Technical Skills

The stack I build, test, and ship with — organized by what I do with it.

Languages

Core languages for services, automation, and application logic.

  • Java
  • Python
  • JavaScript
  • TypeScript
  • Go
  • SQL
  • HTML/CSS

Frontend

Interfaces that are fast, accessible, and pleasant to use.

  • React
  • Next.js
  • React Native
  • Three.js / R3F
  • Zustand
  • TanStack Query
  • Lightweight Charts
  • Recharts
  • Tailwind CSS
  • Responsive Layouts

Backend

APIs and services designed for correctness and scale.

  • Microservices
  • REST APIs
  • gRPC
  • Spring Boot
  • Node.js / Express
  • Flask
  • Swagger/OpenAPI
  • GraphQL

AI & Machine Learning

Applied ML, computer vision, and LLM-powered features.

  • PyTorch
  • TensorFlow
  • OpenCV
  • YOLO
  • Google Gemini
  • LLM Integration

Testing & Automation

Automated regression, API, and data validation for enterprise release pipelines.

  • Rest Assured
  • JUnit
  • Selenium
  • Cucumber
  • JMeter
  • Postman
  • Regression & Smoke Suites
  • Page Object Model
  • Vitest
  • Playwright

Cloud & DevOps

Deploying and operating systems in the cloud.

  • Azure
  • AWS
  • GCP
  • Docker
  • Kubernetes
  • Jenkins
  • Azure DevOps
  • GitHub Actions
  • Linux

Data, Messaging & Observability

Data stores, event streams, and the metrics that keep them honest.

  • PostgreSQL
  • Cosmos DB
  • Firestore
  • MongoDB
  • Redis
  • Kafka
  • Databricks
  • Azure Storage
  • Prometheus
  • Grafana

Developer Tools

The everyday toolkit, including AI-assisted development.

  • Git & GitHub
  • Jira
  • GitHub Copilot
  • Claude Code
  • Cursor
  • Firebase

How I Think About Systems

A production architecture drawn from stacks I've shipped on. Hover any component to see where I've used it.

Client AppsReact +2CDN / EdgeVercel +1API GatewayREST +1AuthOAuth 2.0 +2Backend ServicesNode.js +2Message QueueEvents +1AI ServicesGemini +2CacheRedis-style cachingDatabasesPostgreSQL +2Object StorageAzure Storage +1CI/CDGitHub Actions +2Cloud InfraAWS +3MonitoringDatabricks checks +1

$ hover a component to inspect it_

Publications & Research

Peer-reviewed work across autonomous vehicles, deep learning, and computer vision.

End to End Networks for Vehicle Control

2025

2025 ASEE PSW Conference

CNN-based end-to-end control systems for autonomous vehicles, mapping camera input directly to steering decisions on a campus vehicle platform.

contribution: Co-authored the paper; contributed to the perception stack and on-vehicle experimentation in the Cal Poly Pomona AV Lab.

CNNsPyTorchROS2Computer Vision
Read Paper

Toward Equitable Autonomous Vehicle Deployment

2025

2025 ASEE PSW Conference

A framework for deploying autonomous vehicle services equitably, using a campus ride-sharing pilot as the case study.

contribution: Co-authored the paper; built the React Native ride-sharing app and real-time tracking used in the pilot.

React NativeGPSAutonomous Systems
Read Paper

Law Enforcement Companion

2023

2022 Intl. Conference on Smart Generation Computing, Communication and Networking

A deep-learning-assisted companion system supporting law enforcement workflows with computer vision.

contribution: Co-authored the paper and contributed to model development and evaluation.

Deep LearningComputer Vision
Read Paper

Utilizing Deep Learning as a Law Enforcement Ally

2023

2023 3rd Intl. Conference on Smart Data Intelligence (ICSMDI)

Deep learning approaches for public-safety applications, extending prior work on vision-based law-enforcement support systems.

contribution: Co-authored the paper and contributed to experiments and analysis.

Deep LearningCloud AI
Read Paper

Certifications

Get In Touch

I'm open to software engineering roles — backend, full-stack, or forward-deployed. If you're building something interesting, let's talk.

Open to software engineering opportunities

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