Abstract portrait illustration of Mücahit Yılmaz

Mücahit Yılmaz

An AI engineer with four years of shipping computer vision to production — now on the LLM team, building RAG pipelines and agentic systems.

About Me

I’ve spent nearly 4 years building computer vision systems that run in production — real-time object detection, tracking, OCR, and anomaly detection — taking projects from dataset design all the way through edge deployment on Jetson with TensorRT and ONNX, and integrating with industrial cameras and PLCs. I write clean, maintainable Python (OOP, SOLID) and care about getting the architecture and data pipeline right before touching the model. I’ve delivered a commercially licensed product and led a project that’s been running in production for over a year without retraining. I also mentor junior engineers and interns. I’ve now moved to the LLM team, where I bring the same production mindset to large language models, RAG pipelines and agentic systems.

Technical Skills & Expertise

LLM & RAG

  • LangChain
  • LlamaIndex
  • FAISS
  • OpenAI API
  • Autogen
  • Transformers
  • PEFT · LoRA/QLoRA
  • Gradio

Computer Vision

  • PyTorch
  • TensorFlow
  • OpenCV
  • YOLO
  • RT-DETR
  • SAHI
  • ByteTrack
  • PaddleOCR
  • MediaPipe
  • Albumentations

Edge & Deployment

  • TensorRT
  • ONNX
  • CUDA
  • NVIDIA Jetson
  • PyQt6
  • Industrial cameras
  • PLC integration

Backend & MLOps

  • Python
  • FastAPI
  • Docker
  • MongoDB
  • PostgreSQL
  • Azure DevOps
  • Linux

Selected Projects

All projects →

Current Focus — LLMs & RAG

Self-directed practice projects built independently to develop hands-on LLM skills — not client-delivered or production systems.

2025 – Present

RAG-Based Knowledge Assistant

A RAG pipeline over sample documents using a FAISS vector database and LangChain / LlamaIndex to answer queries grounded in the source.

LangChain · LlamaIndex · FAISS · OpenAI API

2025 – Present

Agentic AI Systems

A multi-modal support assistant routing text, voice and image inputs through tools, and a multi-agent workflow for retrieval, analysis and reporting.

LangChain · Autogen · Function calling · Gradio

2025 – Present

Summarization & Fine-Tuning

An audio-to-summary tool comparing frontier and open-source models, and a price-prediction model fine-tuned with LoRA/QLoRA.

Transformers · PEFT · LoRA/QLoRA

Work Experience

Ithinka Information Technologies

Jul 2022 – Present · 3 roles

  1. Oct 2023 – Present

    Computer Vision & AI Engineer (Mid-level)

    Own end-to-end delivery of computer vision projects: dataset design, model training and optimization, edge deployment and production monitoring. Work directly with clients from requirements through go-live, including on-site installation and end-user training. Mentor junior engineers and interns, and produce technical documentation for every delivered project.

  2. Oct 2022 – Sep 2023

    Data Scientist → Computer Vision & AI Engineer (Junior)

    Started on the data team, building an anomaly detection system for abnormal network traffic on monitored servers — including balancing a highly imbalanced dataset — and presenting weekly progress reports to stakeholders. Then moved into computer vision, delivering dataset and model-training work on industrial quality-control projects such as End-of-Line Inspection and Spring Sorting.

  3. Jul 2022 – Sep 2022

    Data Science Trainee

    Mezopotamya Living Lab · program delivered by Ithinka

    Completed a 3-month data science training program covering data analysis and machine learning workflows, and was hired by Ithinka at the end of the program.

Education

  1. Erciyes University

    2015 – 2018

    B.Sc. Geomatics Engineering

Certifications

Contact

Have an LLM, RAG or computer vision project in mind — or something that needs to go from prototype to production? I’d be glad to hear about it. I work remotely.

Email: [email protected].

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