AI Engineer and Technical Architect with a proven track record of leading engineering execution, designing high-throughput data systems, and scaling early-to-mid stage startup operations. As Technical Lead & Co-Founder at SEOEM.CO, I orchestrate backend architectures, direct enterprise client deliveries, and guide technical teams.
In parallel, I drive applied AI research within the Yıldız Technical University Space Physics Group, engineering automated pipelines for continuous space weather modeling. My focus lies at the intersection of robust system design, LLM orchestration, and strategic engineering management—transforming complex technical challenges into scalable, high-impact products.
Architecture & Infrastructure
Generative AI & Data Science
Engineering Leadership
Core Languages & Frontend
Technical Lead & Co-Founder
Oct 2023 — PresentSEOEM.CO | Istanbul
- Architect end-to-end backend workflows and high-throughput data models for internal products and enterprise clients.
- Lead technical execution and client delivery for enterprise platforms, overseeing scoping, architecture design, and final launch.
- Delivered accredited technical instruction and frontend engineering programs at Yıldız Technical University.
- Provide strategic AI and data infrastructure consulting to academic research teams and institutional clients.
AI Researcher — Space Physics
2019 — PresentYTU Space Physics Research Group
- Designed automated, high-throughput data collection and processing infrastructure handling global GNSS sensor feeds (Python, PostgreSQL).
- Built ML-driven predictive pipelines for time-series forecasting and real-time ionospheric disturbance monitoring.
- Served as Principal Investigator on space-weather modeling projects; co-authored peer-reviewed publications (IEEE, TFD).
Data Scientist & ML Engineer
2025 — PresentTÜBİTAK POLAR 1001 — Antarctica Ionospheric Monitoring
- Engineered real-time data ingestion pipelines for low-cost GNSS receivers deployed on Horseshoe Island, Antarctica.
- Developed ML performance analysis workflows for polar space-weather dynamics.
Technical Instructor & Mentor
PastDeneyap Türkiye
- Mentored 100+ students in software engineering, system design, and algorithms.
- Awarded Best Presentation Award at Teknofest (KATAY Project).
VectorOSINT — Autonomous AI Analysis Platform 2025 - Present
System Architect & Lead Developer
Designed an autonomous OSINT platform powered by an LLM-driven analysis pipeline (Gemma 3 via Ollama). Built an automated ingestion engine continuously processing 20+ live data streams, handling orchestration, feature extraction, real-time alert dispatch, and automated synthesis.
Enterprise Luxury E-Commerce Platform 2024
Lead UI/UX & Frontend Architect (via SEOEM.CO)
Architected and engineered the front-end platform for a major luxury apparel brand. Designed the UI/UX from scratch and implemented a zero-dependency (Vanilla JS/CSS) architecture to guarantee sub-second page loads, maximum conversion efficiency, and flawless responsiveness.
Global Space Weather Predictive Pipeline 2024 - 2025
Principal Investigator & Pipeline Architect
Engineered an end-to-end regression and time-series forecasting model for global ionospheric disturbance prediction (TEC). Built scalable data cleansing and feature extraction workflows trained on massive historical GNSS datasets.
Peer-Reviewed Output
- Calculation of Ionospheric Disturbances of Earthquakes in Europe with TEC Anomalies Published in: IEEE
- Modeling Space Weather Parameters With Machine Learning: Total Electron Content Forecasting Published in: TFD41 Congress / Int. TPS Congress
- Preliminary Analysis for Polar Ionosphere Monitoring Based on GNSS-Based TEC Measurements at Horseshoe Island Published in: National Polar Sciences Symposium