AI ENGINEERProduction AI · Ankara

AI Engineer turning
advanced models into
reliable production systems.

8+ years of experience across computer vision, multimodal AI, agentic workflows, real-time edge inference, and large-scale image pipelines.

8+ yearsProfessional AI experience
30 FPSReal-time edge inference
1B+Images processed in ML pipelines
COMPUTER VISIONMULTIMODAL AIAGENTIC SYSTEMSMLOPSEDGE INFERENCESEMANTIC SEARCH
01 — SELECTED IMPACT

Selected engineering outcomes. Accuracy, efficiency, and scale.

Representative results from work on multi-task learning, real-time edge inference, and large-scale vision datasets.

View selected work
01
30% / 40%

Higher accuracy, lower compute

Multi-task perception

Developed multi-task architectures for 2D/3D pose estimation and object detection, improving accuracy by 30% while reducing computational cost by 40%.

02
30 FPS

Real-time edge performance

Edge inference

Optimized machine-learning inference on edge devices to 30 FPS, achieving a threefold performance improvement.

03
1B+

Large-scale vision data

Large-scale ML data pipelines

Designed and operated machine-learning data pipelines handling more than one billion image records.

02 — SELECTED PROJECTS

Selected engineering projects.

Technical projects exploring efficient language-model inference and the delivery of complex native applications through modern web runtimes.

IN-BROWSER AI2026

1bitllm

A browser-native playground for quantized Bonsai language models. It runs ONNX inference with WebGPU, streams generated tokens from a Web Worker, and caches model assets locally without a server-side inference backend.

Engineering contribution

Designed and implemented the client-side inference flow, model lifecycle, streaming chat interface, and WebGPU capability checks.

WebGPUTransformers.jsONNXWeb Workers
WEBASSEMBLY PORT2019

OpenTTD / Browser Port

A browser port of OpenTTD compiled with Emscripten and WebAssembly, bringing the C++ simulation engine to a full-screen web canvas without a native installation.

Engineering contribution

Ported and packaged OpenTTD for browser execution, integrating the WebAssembly runtime, asset bundle, loading states, and canvas-based application shell.

C++WebAssemblyEmscriptenCanvas
03 — EXPERTISE & TOOLKIT

Technical depth across the production ML lifecycle.

Experience across the machine-learning lifecycle, from model development and optimization to system integration and production delivery.

01

Computer Vision

Development of image-processing, object-detection, and 2D/3D pose-estimation systems for real-time and research applications.

DetectionPoseImage processing
02

Multimodal Generative AI

Design of systems that combine image and language models for context-aware generation, analysis, and product workflows.

Vision-languageGenerationFusion
03

Agentic AI

Architecture of tool-using agents that execute multi-step workflows through external services and APIs.

AgentsTool useOrchestration
04

Production ML & MLOps

Containerized services, reproducible model delivery, and engineering practices that support reliable iteration and deployment.

MLOpsDockerMicroservices
05

Edge AI

Model and inference optimization for constrained devices, real-time video pipelines, and IR-assisted perception systems.

OptimizationCUDAIR sensors
06

Semantic Search

Compact indexing and multimodal retrieval across image, audio, and natural-language queries.

RetrievalIndexingMultimodal

Languages, tools, and specialization.

Programming
PythonC++CMATLABSQL
Machine Learning
PyTorchTensorFlowMXNetNumPyCUDA
Infrastructure
DockerGitMLOpsMicroservices
Specialization
Computer VisionMultimodal AIAgentic AIEdge AISemantic Search
Languages
Turkish · NativeEnglish · Professional
04 — BACKGROUND

Education, research, and recognition.

An academic foundation in computer engineering, supported by machine-learning research, a conference publication, and academic distinctions.

Education

Middle East Technical University

Graduate studies in Computer Engineering

Sep 2021 — Sep 2023CGPA 3.34 / 4.00 · Left the program in Sep 2023

Bilkent University

B.Sc. in Computer Engineering

Sep 2013 — Jun 2018CGPA 3.32 / 4.00
Publication

A.T. Albayrak, İ. Atıl, “Hyper Parameter Optimization for Deep Learning using Volunteer Computing,” 6th High Performance Computing Conference, 2020.

Recognition
  • Bilkent University Senior Project Data Science Award (2017–2018)
  • Ranked 753rd in the quantitative track among approximately 1.8 million candidates in Türkiye’s national university entrance examination
  • Enderun Science High School Salutatorian
CONTACT

Open to international AI engineering opportunities.

For roles and collaborations involving production computer vision, multimodal AI, agentic systems, and machine learning infrastructure.

Ankara · Remote · International
Email meahmetahalbayrak@gmail.com