Gaurav Baser

- Designed and built a full-stack movie streaming platform — Go/Gin REST API backend with a React/Vite frontend — featuring JWT authentication with access/refresh token rotation and role-based access control (admin vs. user). - Integrated the OpenAI API via LangChain Go to automatically classify admin movie reviews into sentiment rankings, enabling AI-driven recommendation scoring. - Containerized all services using multi-stage Docker builds (Go + Alpine, Node + Nginx) with non-root users and minimized image sizes; orchestrated locally with Docker Compose. - Authored production-grade Kubernetes manifests — Deployments, Services, PersistentVolumeClaims, ConfigMaps, Secrets, and Ingress — for scalable multi-replica orchestration. - Built an isolated integration-testing layer using Go native net/http/httptest against a live MongoDB test database, with granular per-test seeding and automated cleanup via t.Cleanup. - Upskilled in Generative AI and agentic workflows, sharpened data structures & algorithms through regular LeetCode practice, and tracked emerging trends (Go 1.26, agentic AI, cloud-native tooling); leveraged AI-assisted development (Claude, GitHub Copilot, Gemini) throughout. - Took a planned career break to relocate to India for full-time family caregiving during a medical situation, while remaining technically active.

- Developed distributed forecasting services using Golang and Python to process large-scale time-series data, reducing forecast latency by 15% and improving responsiveness for enterprise users on AWS. - Refactored backend components in Golang using Clean Architecture, increasing unit test coverage by 10% via SonarQube while improving maintainability through structured Git/GitHub workflows. - Modernized the React + TypeScript frontend using Tailwind CSS, increasing automated test coverage by 13% with Jest, React Testing Library, and GitHub Actions CI. - Standardized RESTful APIs using FastAPI and Swagger/OpenAPI, reducing integration issues by 20% while accelerating developer onboarding. - Consolidated 7+ microservices into a Docker + Kubernetes containerized architecture on AWS, reducing system complexity by 25%. - Integrated OpenAI Chat Completion API, Claude, and GitHub Copilot into internal tooling to accelerate AI-assisted development and documentation automation. - Diagnosed and resolved 20+ critical production issues tracked in Jira, and defined requirements for advanced time-series analytics features with Product, UX, and ML partners. - Authored technical documentation covering security updates, repository workflows, and onboarding to GitHub documentation standards.

- Graded assignments and exams for 50+ students under Dr. Russell Paul Cain and provided detailed feedback on computer architecture topics such as pipelining, memory hierarchies, and CPU design.

- Built and maintained Amtrak.com features in Angular/AEM, resolved 6+ frontend defects via Jira, and supported a 200+ third-party cookie audit using OneTrust for GDPR/CCPA compliance.

M.S.

University of Maryland, Baltimore County (UMBC)

January 2022 - May 2023

Field: Computer Science

Coursework: Computer Security (A), Data Science, Advanced Computer Architecture (A), Malware Analysis, Algorithms (A-)