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nolanefe/README.md

Hi, I'm Nolan Efe Elbirlik — a Computer Science & Engineering student. I work on the APIs and workflows that carry an LLM's response into a live product, how a prompt and retrieved context are assembled into what a model actually sees, and the infrastructure that keeps AI systems running reliably in production.

Technical Proficiency

  • Applied AI & LLMs: RAG, LangChain, LangGraph, MCP, A2A, Prompt & Context Engineering (Few-Shot, Chain-of-Thought), Function Calling & Structured Output
  • Core Languages: Python, SQL, JavaScript/TypeScript, C/C++
  • System Architecture: API Integration & Orchestration, Claude Code, Cursor
  • Data & Knowledge Graphs: Graph Databases (Neo4j)
  • MLOps & Deployment: Docker, GitHub Actions (CI/CD), RAGAS

Featured Engineering Projects

  1. Cognitive Agent Syndicate
    (https://github.com/nolanefe/Cognitive-Agent-Syndicate)
    An autonomous multi-agent framework utilizing LLM-based reasoning to architect and generate scalable microservices.
  • Domain: AI Infrastructure & System Design
  • Tech Stack: Python, AutoGen, OpenAI API, GitHub Actions (CI/CD)
  • Key Feature: Automated code generation orchestrated by LLM-powered virtual architects.
  1. Low-Latency RL Market Maker
    (https://github.com/nolanefe/Low-Latency-RL-Market-Maker)
    A high-performance matching engine integrated with a custom Q-Learning algorithm for rapid, memory-safe trading execution.
  • Domain: Algorithmic Trading & Low-Latency Systems
  • Tech Stack: C++17, CMake, Reinforcement Learning
  • Key Feature: Zero-leak memory management and $O(1)$ state hashing to execute complex AI logic in environments where standard models are too slow.
  1. Distributed Vector Store Lite
    (https://github.com/nolanefe/Distributed-Vector-Store-Lite)
    A distributed in-memory database designed for partitioned data sharding and high-concurrency vector retrieval.
  • Domain: Database Internals & Concurrent Systems
  • Tech Stack: Go (Golang), GitHub Actions (CI/CD)
  • Key Feature: Thread-safe memory management using sync.RWMutex to allow simultaneous search operations across partitioned vector shards.

How to reach me:

Pinned Loading

  1. ai-product-experiment-platform ai-product-experiment-platform Public

    AI product experimentation platform for comparing product concepts through evidence-grounded personas, deterministic analytics, decision memos, and real-user feedback.

    Python

  2. ai-operations-decision-copilot ai-operations-decision-copilot Public

    AI engineering copilot that turns GitHub issues into structured implementation plans, test recommendations, risk assessments, and draft comments.

    Python

  3. llm-decision-reliability-lab llm-decision-reliability-lab Public

    LLM evaluation platform for comparing prompt and model variants through deterministic scoring, cost, latency, and failure analysis.

    Python

  4. cognitive-agent-syndicate cognitive-agent-syndicate Public

    Multi-agent AI engineering platform for comparing software-delivery workflows through typed contracts, deterministic validation, bounded repair, and live benchmarking.

    Python