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Yaşar Fatih Enes Yalçın
Founding Engineer at TU Munich
Likely Turkey connectionEuropean Unionstaging graph
Talent area
AI / ML
Graduation
Jun 1, 2021
Location
DE
Profile details
Readable summary of the public-source record.
Search name
yasar fatih enes yalcin
Institution
TU Munich
Program
Founding Engineer | technically, ex-Google | NY & IST Master of Science - MS — Informatics
Current role
Founding Engineer
Program start
2019
Graduation confidence
MEDIUM
Specializations
-
Last verified
May 30, 2026, 12:09 PM
Evidence
11 unique extracted claims
| Claim | Value | How found | Evidence grade | Source |
|---|---|---|---|---|
| Profile summary | I build AI-driven systems, scalable backends, and optimized data pipelines, bridging backend engineering, AI, and automation to turn raw data into actionable insights. 🔹 Backend & Data – APIs, data pipelines, and scalable infrastructure (Python & Next.js). 🔹 AI Automation – LLM-powered metadata extraction, classification, and process optimization. 🔹 Full-Stack – Backend architecture to UI/UX enhancements. 🔹 Startup-Ready – Turning ideas into production in early-stage environments. Python Java Machine Learning Algorithms Matlab LaTeX C++ Scala Artificial Neural Networks Natural Language Processing Digital Systems Discrete Mathematics - Developed the world’s 3rd AI-powered Legal Citator. - Created the Natural Language Search in legal space (called Proposition Search) - Built the data pipeline for US Courts, integrating AI for automation. - Python FastAPI & Next.js seamless integration. - Leading backend & data team - Ensuring scalability and reliability. - Created offline AI tasks for document type detection, metadata extraction, and data quality improvements using various LLMs (Gemini, GPT, etc). - Worked on Next.js frontend, including AI-annotations, and UI design and enhancements. - and anything and everything a founding engineer does. | apify:harvestapi_linkedin_profile_search | MEDIUM | Open |
| current city | United States | apify:harvestapi_linkedin_profile_search | MEDIUM | Open |
| current country | DE | apify:harvestapi_linkedin_profile_search | MEDIUM | Open |
| current country | US | apify:harvestapi_linkedin_profile_search | MEDIUM | Open |
| Current role | Founding Engineer | apify:harvestapi_linkedin_profile_search | MEDIUM | Open |
| Program | Founding Engineer | technically, ex-Google | NY & IST Master of Science - MS — Informatics | apify:harvestapi_linkedin_profile_search | MEDIUM | Open |
| Name | Yaşar Fatih Enes Yalçın | apify:harvestapi_linkedin_profile_search | MEDIUM | Open |
| Talent area | AI / ML | Keyword taxonomy | HIGH | Open |
| linkedin url | https://www.linkedin.com/in/yfenes | apify:harvestapi_linkedin_profile_search | MEDIUM | Open |
| Relevance score | 8.00 | Rule-based scoring | MEDIUM | Open |
| turkey connection status | TR_INFERRED | Rule-based scoring | MEDIUM | Open |
Assessments
9Priority score: 8
Rule score 8.000
Transparent priority heuristic from graduation horizon, university tier, field priority, and Turkey tie. This is not a prediction.
Field classification: AI / ML
Rule score 4.800
Keyword taxonomy rule score over LinkedIn public profile text. This is not a trained model.
Turkey connection: Likely Turkey connection
Rule score 3.500
Weighted public-source Turkey-connection rule score from Apify LinkedIn profile fields. Existing staging profile refreshed from Apify. Turkish education history plus Turkish name signal. This is not a calibrated probability.
Priority score: 8
Rule score 8.000
Transparent priority heuristic from graduation horizon, university tier, field priority, and Turkey tie. This is not a prediction.
Field classification: AI / ML
Rule score 4.800
Keyword taxonomy rule score over LinkedIn public profile text. This is not a trained model.
Turkey connection: Likely Turkey connection
Rule score 3.500
Weighted public-source Turkey-connection rule score from Apify LinkedIn profile fields. Existing staging profile refreshed from Apify. Turkish education history plus Turkish name signal. This is not a calibrated probability.
Priority score: 8
Rule score 8.000
Transparent priority heuristic from graduation horizon, university tier, field priority, and Turkey tie. This is not a prediction.
Field classification: AI / ML
Rule score 4.800
Keyword taxonomy rule score over LinkedIn public profile text. This is not a trained model.
Turkey connection: Likely Turkey connection
Rule score 3.500
Weighted public-source Turkey-connection rule score from Apify LinkedIn profile fields. Turkish education history plus Turkish name signal. This is not a calibrated probability.
Actions
3Profile created or updated
alpagu_prod · success · May 30, 2026, 12:09 PM
Profile created or updated
alpagu_prod · success · May 30, 2026, 10:41 AM
Profile created or updated
alpagu_dev_local · success · May 29, 2026, 03:48 PM