Open to remote opportunities
Data Scientist & AI/ML Engineer
LLM Agents · Computer Vision · Time‑Series
Based in İzmir. I run operations at ATDERA — a London-positioned medical education and international patient coordination platform — and own its technical and AI side: an autonomous LLM-agent CRM, a 345-institution partner database across 45 countries, and the analytics stack end to end.
About
I started writing code in a vocational high school web programming track, went on to an associate degree in computer programming at İskenderun Teknik University — graduating first in the department — and transferred to Dokuz Eylül University through the DGS exam to complete a bachelor's in computer science with a focus on machine learning and computer vision.
My senior project, FoliumCare, detects grapevine leaf disease from a single photo. Our team collected and labelled thousands of images in Manisa vineyards alongside an agricultural engineer, trained an Xception transfer-learning model to 99.4% accuracy, and shipped the full stack — FastAPI backend to Flutter app. It was selected first among all senior projects in the department.
In parallel I spent close to two years at Expeditors International, going from local IT support to a regional role covering 14 branches in 9 countries. The scripts I kept writing on the side — Python that cut a 2–3 hour weekly reporting cycle to 10–15 minutes — became my real job description. During the same period I was selected from 25,000+ applicants for the Google AI & Technology Academy scholarship and completed 250+ hours of hands-on training.
Since July 2026 I've been running operations at ATDERA, where I also own the technical and AI side of the business — an LLM-agent CRM that qualifies and reaches out to international leads, a 345-institution database across 45 countries, and the full analytics stack. I'm open to remote data science and AI/ML engineering roles.
Experience
Operations lead · technical and AI owner
Promoted from Local I.S. Specialist to a regional role
Concurrent role
Selected from 25,000+ applicants nationwide
Selected work
Autonomous lead qualification & multilingual outreach — ATDERA
An autonomous LLM-agent system that qualifies inbound international leads, drafts outreach in the lead's language across email, WhatsApp and call scripts, and routes qualified leads into the sales pipeline. Sits on top of a 345-institution, 45-country database with CRM tracking and KPI dashboards.
AI grapevine leaf disease detection — 99.4% accuracy
Classifies grapevine leaf disease from a single photo. Our team collected and labelled thousands of images in Manisa vineyards with an agricultural engineer, trained an Xception transfer-learning model to 99.4% accuracy with no observed overfitting, and served it through a FastAPI backend to a Flutter app — full pipeline from database to mobile UI. Selected first among all senior projects in the department.
24-hour time-series challenge on U.S. hospital data
Second place among all teams in a 24-hour datathon organised by the DEU CS-AI community. Three of us worked a time-series dataset of U.S. hospital records — patient risk flags and multi-disease classification. Most of the value came from understanding what the series actually represented before modelling, then heavy feature engineering and model iteration under time pressure.
Deterministic sports-analytics pipeline with an LLM reasoning layer
A modular Python pipeline that turns raw match data into probabilistic recommendations: Selenium/BeautifulSoup scraping, Poisson and Dixon-Coles goal models on rolling xG, expected value and Kelly-criterion staking, and a structured JSON layer consumed by an LLM. The statistical layer stays deterministic and testable; the AI layer only interprets its output.
Background
Focus on machine learning and computer vision. Senior project FoliumCare selected first in the department; 2nd place in Datathon 2025 with the DEU CS-AI community.
Graduated first in the department. Transferred to Dokuz Eylül University through DGS, the national vertical transfer exam.
Where the coding started.
Credentials
Toolkit
Off the clock
Contact
I'm open to remote data science and AI/ML engineering roles, and happy to talk about anything involving LLM agents, computer vision, or messy operational data. For my full CV or a phone call, drop me an email.
İzmir, Türkiye · On-site, hybrid or remote