Aakash Tripathi

Computer Science graduate (George Mason University, May 2026) with full-stack engineering experience across FastAPI, Next.js/React (TypeScript), PostgreSQL, SQLAlchemy, LangGraph, and AWS. Built and deployed a production-grade AI platform end-to-end — including REST API design, Pydantic schemas, async backend services, LLM API integration, RAG pipelines, Docker/Compose containerization, and cloud infrastructure. Experienced with pytest, CI/CD, and agentic AI workflows using LangGraph and Ollama.

Undergraduate ETL Developer (Industry-Sponsored Project) - Leidos - Fairfax, VA

(2025-08 - 2026-05)

• Designed and developed an end-to-end ETL pipeline in Python to parse and transform IFC building models into simulation-ready network structures; wrote and maintained unit tests throughout the development lifecycle.
• Architected a graph-based data model to represent connected duct topology; engineered transformation logic for geometry normalization and airway dimension generation — translating complex system requirements into a working software design.
• Collaborated closely with Leidos subject matter experts across the full SDLC, delivering weekly technical updates, writing design documentation, and handling edge cases such as missing fan data via external mapping integration.

Software Engineer Intern - Freddie Mac - McLean, VA

(2024-05 - 2025-08)

• Redesigned Python-based data ingestion pipelines improving execution time by 20%; built automated pytest test suites validating JSON-to-Excel pipelines, improving data accuracy and maintaining high coverage targets.
• Developed Ansible playbooks to automate dataset queries for Problem Management; utilized AWS EC2 for CI/CD integration via Bitbucket, debugging failing pipeline steps and ensuring version-controlled deployments.
• Proposed and received director approval for a $77K automation initiative by translating ServiceNow ticket dependencies into structured workflows — demonstrating ability to document, communicate, and build cross-functional alignment on engineering proposals.

B.S. - Computer Science - George Mason University (2026-05)

M.S. - Artificial Intelligence - University of Maryland, College Park (2026-08)