AI Solutions Architect & Technical Lead
Egemen Gulpinar
Bielefeld, Germany
M.Sc. Intelligent Interactive Systems @ Bielefeld University
About Me
I am an AI Solutions Architect with over 5 years of experience in project design, management, and delivery of innovative solutions. My expertise spans leading AI-driven initiatives, designing scalable systems, and automating complex processes to drive efficiency and business value.
Throughout my career, I've contributed significantly to startup success by assuming multifaceted roles—from hands-on development to leadership and strategic planning. I've set up AI/ML pipelines, implemented cloud architectures, and delivered cutting-edge applications across desktop, cloud, and web platforms.
What sets me apart is my ability to turn complex ideas into actionable solutions while thinking creatively. I blend technical expertise with fresh perspectives to craft unique and impactful products. My philosophy is simple: embrace innovation, challenge the ordinary, and always aim to "be different."
Technical Expertise
Languages
AI, Agents & LLMs
Computer Vision & ML
Backend & Frameworks
Data & Infrastructure
Methodologies
Certifications
- AZ-104T00: Microsoft Azure Administrator
- AI-102T00: Designing and Implementing Azure AI Solutions
- NVIDIA Inception Program - Deep Learning Institute
- Meta Back-End Developer Professional Certificate (Coursera)
- Use Python Unit Test to Demonstrate TDD (Coursera)
- Inzva Applied AI Study Group
- BTK Academy - Introduction to Deep Learning with Keras
- BAYKAR Technologies - AI Competition in Transport Certificate
Experience
5+ years building solutions across AI, backend systems, and research
AI Solutions Architect
LIVAD Technologies Shareholder
Los Angeles, CA (Remote)
Contributed significantly to startup success by assuming multifaceted roles with strong focus on leadership, management expertise, and ongoing professional development.
- Agentic Content Workflow: Designed and built an agentic blog-post generation workflow that autonomously navigates hundreds of videos, identifies the most relevant moments, and assembles them into ready-to-publish clips with accompanying articles.
- Streamer Detection (VLMs): Developed a streamer face detection and localization system using VLMs and project-specific configured models, with an additional real-vs-fake person classification stage.
- LLM/SLM/VLM Fine-tuning: Customized and fine-tuned LLMs, SLMs and VLMs (Phi, Gemma, Qwen, GPT, LLaMA families) for project-specific tasks. Built an efficient custom LLM pipeline for context recognition.
- Brand Safety System: Created text-based brand safety detection including STT, sentiment analysis, context translation, and a fine-tuned SLM that understands safety rules and generates output scores.
- Computer Vision: Built a multi-purpose unique asset-obstacle recognition and segmentation system using Segment Anything, feature extraction, and custom algorithms.
- Infrastructure & DevOps: Achieved significant cost reductions in AWS, Azure and GCP through strategic automation. Deployed and maintained solutions on microservices with CI/CD pipelines.
- Engineering Practices: Wrote clean code, unit and integration tests, and crafted comprehensive project documentation.
- Awards: Led LIVAD Studio to win IAB MIXX Awards '23 Gold and Brandverse Awards '23 Silver for In-Game Ads.
Project Technical Lead
Bielefeld University - Türkisch-Deutsche Universität(TDU Istanbul)
Bielefeld, Germany
- Leading and developing a large-scale, AI-driven Universität Bielefeld, Türkisch-Deutsche Universität(TDU Istanbul) DaF-Chatbot system used by thousands of students
- Designing scalable, cost-efficient, and low-latency real-time inference architecture and pipeline for the chatbot
- Optimizing system architecture and model deployment for production environments
Student Assistant - AI Research
Bielefeld University
Bielefeld, Germany
- Full-stack development of dialogue-based Explainable AI (XAI) system
- Built chunk-wise streaming support for LLMs to deliver low-latency, real-time outputs
- Enhanced dialogue system with real-time voice recognition (STT/TTS) and context-aware LLM functionalities
AI Engineer Intern
TUBITAK Space Technologies
Ankara, Turkey
- Researched Image Super-Resolution using Deep Convolutional Networks (SRCNN)
- Compared Input, Bicubic, and SRCNN results with PSNR and SSIM metrics
R&D Engineer Intern
BAYKAR Technologies
Istanbul, Turkey
- Satellite mapping, labelling and matching on World Map for BeiDou system
- Created special library for BeiDou RINEX data conversion, parsing and reading
- Discovered new relationship between BeiDou RINEX data and satellite movements
Volunteer Software Developer
METU Teknokent - SFM Software
Ankara, Turkey
- Built a business dashboard from scratch that customers can monetize
- Handled Python backend development with Django and REST APIs
Education
M.Sc. Intelligent Interactive Systems
Bielefeld University, Germany
Sep 2024 - PresentErasmus Exchange - Computer Science
Bradford University, UK
Sep 2021 - May 2022GPA: 4.0/4.0
B.Eng. Computer Engineering
Mersin University, Turkey
Aug 2017 - Feb 2022GPA: 3.4/4.0
Projects
Selected work and open source contributions
GitHub Profile
All my open source projects, contributions, and experiments.
View All RepositoriesLIVAD Studio
In-game detection and advertising platform. Won IAB MIXX Awards '23 Gold and Brandverse Awards '23 Silver.
Explainable AI Dialogue System
Full-stack dialogue-based XAI system with real-time voice recognition and context-aware LLM interactions.
Image Super-Resolution
Deep Convolutional Network for image super-resolution. TUBITAK Space Technologies research.
BeiDou Satellite System
RINEX data parsing library and satellite position calculation for BeiDou navigation system.
Snap Camera-Kit WebSDK
Integration guide for Snap's AR Camera Kit in web applications. Includes Next.js deployment with Vercel.
Publications
Research papers and academic contributions
Efficient Large Language Models Combining 1-bit Quantization and Diffusion Architectures for Ultra-Fast Inference
Zero-Shot Obstacle Detection in Location-Independent Static and Dynamic Scenes
Grasping Emotion: A Vision-Based Study of Hand Movement and Feeling
Awards & Recognition
Founders Foundation Pitch Day Winner
AI-Based Digital Electrical Engineering Assistant - Technical Lead (Dec 2025)
IAB MIXX Awards '23 - Gold Award
In-Game Ads - Turkey & Europe Finalist
Brandverse Awards '23 - Silver Award
In-Game Ads Category