Resume

Austin, TX · GPA: 4.56 · Concurrent dual enrollment at Austin Community College

College-level coursework in mathematics, physics, and engineering completed during high school

• Programming languages: Python, JavaScript, Java, C++, MATLAB, HTML/CSS
• Frameworks & tools: FastAPI, React, REST APIs, SQLite, Git & GitHub, Supabase (pgvector)
• AI / ML: retrieval-augmented generation (RAG), LLM integration (Claude, GPT-4o, LiteLLM), Voyage AI embeddings, prompt engineering
• CAD & hardware: Fusion 360, AutoCAD, TinkerCAD, Arduino
• Spoken languages: Turkish (native), English (fluent)

Solo founder & full-stack developer

• Designed and built a full-stack AI platform where engineers upload technical drawings and PDFs and receive structured, citation-backed engineering answers; Python/FastAPI backend with a React 18 frontend.
• Engineered a retrieval-augmented generation (RAG) pipeline: PDF text extraction, Voyage AI embeddings (1,536-dimension vectors), and cosine similarity search over a Supabase pgvector document store.
• Implemented multi-model LLM routing with LiteLLM, automatically directing queries between Claude and GPT-4o based on content (e.g., routing stress, FEA, and fatigue calculations to the stronger model); exposed 5 rate-limited REST API endpoints.
• Shipped 6 of 8 planned phases (RAG, API, UI, AI-guided onboarding, structured PDF report export, multi-model routing); designed a tiered SaaS monetization roadmap. Code public on GitHub.

Independent automotive engineering & restoration project

• Built hands-on expertise in mechanical systems, troubleshooting, and precision-based reassembly.
• Disassembled the vehicle to evaluate mechanical and structural condition, removed rust, reinforced compromised chassis areas, and systematically repaired and reassembled key components.
• Launched and led a full ground-up restoration with my brother, conducting technical research, consulting automotive specialists, and sourcing tools and materials.

• Completed a 9-week web programming course covering foundational and intermediate Python concepts.
• Built several technical projects in Python and attended professional development workshops on time management and technical portfolio development.

Medical device R&D intern

• Led the design and development of a wearable earbud to track vital signs (heart rate, respiratory patterns, vocal activity, and motion) by targeting a subaural site near the jaw shown in recent research to yield rich physiological data.
• Collaborated directly with a WPI professor from concept to prototype, using AutoCAD for mechanical design and C++ for embedded programming, prioritizing a lightweight and comfortable form factor.
• Patent filing in progress for the final design; co-authoring a paper for submission to the MIT Undergraduate Research Technology Conference (URTC).

• Explored mechanical, civil, and electrical engineering through workshops, lectures, and real-world simulations.
• Led and collaborated on multidisciplinary design challenges; applied civil and mechanical concepts to design and build functional model roller coasters with structural analysis and material selection.

• Conducted an independent research project analyzing UT Austin's financial structure — revenue sources, profitability, and budget allocation — strengthening financial analysis and data interpretation skills.
• Gained hands-on exposure to architecture and engineering practice by working with startup firms in real-world design and construction settings.