AI Engineer and solo SaaS founder. I build software that ships, mostly around NLP and transformer models, with an MSc in Information Technologies behind it. Right now I run FersmithAI, a learning platform for people moving into AI/ML roles. It's live, and subscriptions are open.
Built and launched FersmithAI solo, from the first commit to paid subscriptions: a subscription learning platform that turns dense technical material into daily study plans, with 28 skills, 93 audio episodes from a self-built TTS pipeline, 13 hands-on labs, 803 flashcards, and a 140-question assessment engine, running on Next.js 16, Supabase, and Paddle. Engineered SkyAnalyst-AI, a modular cabin operations intelligence framework powered by RAG, ChromaDB vector storage, and DistilBART-CNN to convert unstructured flight logs into structured insights with 4x faster inference. Developed Children’s Tale Summarizer, a complete NLP pipeline and Flask application that benchmarks 15+ transformer models (optimizing ROUGE-L from 0.25 to 0.52) for segmenting Turkish stories and generating AI illustrations via Stable Diffusion.
Completed a remote data analyst internship, gaining hands-on experience in data analysis workflows and reporting.
Delivered consistent performance in high-stakes international operations requiring crisis management and multilingual communication. Leveraged high-stakes international operations, crisis management, and cross-functional team coordination to ensure seamless execution in complex environments.
Translated academic and creative texts (EN<->TR) with precision and deadline discipline. Built a strong foundation in text quality, structure, and linguistic nuance, the same instincts NLP work runs on.
GPA: 3.14/4.00
FersmithAI: Personalized AI/ML Learning Platform Live
A subscription learning platform for people who hold a full-time job and have 1-2 hours a day to move into AI/ML. Every morning it asks two questions, how many minutes you have and what you're working toward, then builds that day's plan to fit the answer.
The library covers 28 skills across 7 categories, each with 3 podcast episodes (~20 min), a video, a worked code example, 20 flashcards, and 20 interview questions. Around that sit 13 hands-on labs (Docker, Git, MLflow, LangGraph, kubectl), an 87-card glossary, and 9 paper breakdowns. 803 flashcards and 690 interview questions in total, with all 93 audio episodes produced through my own TTS pipeline. An optional 140-question assessment scores you skill by skill and reorders your queue, and it never locks content away.
Most people stitch this together from three separate subscriptions: one for courses, one for practice, one for interview prep. Here it's one, and all of it is AI/ML. Built solo on Next.js 16, React 19, TypeScript, Tailwind CSS 4, Supabase (Postgres, Auth, Storage), Paddle for billing, and Vercel for hosting.
SkyAnalyst-AI: Cabin Operations Intelligence Framework
A modular NLP framework that transforms unstructured flight cabin reports into structured operational insights using RAG and abstractive summarization. Built on ChromaDB vector storage and all-MiniLM-L6-v2 embeddings for semantic retrieval across 2,500+ synthetic incident reports, so search runs on meaning instead of keywords. Summarization is powered by DistilBART-CNN, delivering 4x faster inference than standard BART with negligible quality loss. Includes an exploratory analytics dashboard with sentiment intensity scoring and statistical visualizations across 5 incident categories and 22 flight routes.
Children’s Tale Summarizer: NLP Pipeline & Flask Application
Fine-tuned and evaluated multiple transformer models (BERT, T5, mT5) for Turkish children’s literature. Integrated Flask API and Stable Diffusion to generate visual illustrations. 90% of users found the visuals well-aligned with the story content.
