Data Engineer
Data Engineer with a strong mathematical and statistical background, specializing in Python and SQL-based data processing, automation, and ETL pipeline development. Experienced in building containerized, scalable data pipelines with Docker; collecting, cleaning, and processing industrial/sensor data (MSSQL, lidar, imagery); developing predictive maintenance/quality models using XGBoost, and applying explainable AI (XAI) with SHAP/LIME. Built data-driven, production-ready applications powered by LLM-based RAG architectures and natural-language-to-SQL agents.
Core studies in mathematics, statistics, and probability theory. Numerical analysis and data processing using Python, MATLAB, and Maple.
Curriculum focusing on object-oriented programming, data structures, and web technologies.
Industrial design, 3D modeling, and fundamentals of technical drawing using AutoCAD, SolidWorks, and Autodesk Inventor.
Developed data-driven applications using Nuxt/Vue, C#, and Microsoft SQL Server. Built machine learning models for PdQ (Predictive Quality) and PdM (Predictive Maintenance) projects. Applied SHAP and LIME explainable AI (XAI) methods to ensure interpretability of model outputs.
Developed Python-based projects for automation and data processing workflows.
Developed the community website and an automated evaluation system that tests and scores students' homework end-to-end. Designed and delivered a 6-week project-based training program covering Image Processing, Deep Learning, and Python libraries (NumPy, Pandas) for intermediate/advanced students.
Led a 12-18 person team in developing fully autonomous driving systems, coordinating daily and weekly tasks. Worked on autonomous vehicle control algorithms and computer vision models (YOLO, lane tracking, path planning).
Managed the cybersecurity team's training processes and led the team in CTF competitions. Organized practical tests and presentations on web and mobile application security.
Assisted in mechanical drawing and machining operations. Prepared technical drawings using AutoCAD and Autodesk Inventor; worked hands-on with CNC, lathes, press brakes, mills, and drills.
Assisted in production workflows and machining operations. Prepared designs using AutoCAD, operated CNC, lathes, and drilling machines.
Certificate of achievement and contribution in the autonomous vehicle competition.
Certificate of achievement in autonomous vehicle design, control algorithms, and competition process.
Advanced Python development program organized in collaboration with Samsung and university.
Intensive training boot camp covering AI model training, data analysis, and machine learning algorithms.
Comprehensive cybersecurity program covering penetration testing, web and network security, cryptography, and threat analysis.
Intensive development boot camp focusing on advanced deep learning models and LLM integrations.
Competency certification in relational database queries and SQL standards.
A production-ready and scalable enterprise AI platform running on Firebase infrastructure, powered by LangChain-based RAG architectures and specialized autonomous agents (Mathematics, Code, Research).
Who Are We? We produce next-generation cinematic content powered entirely by Artificial Intelligence. From concept development to scriptwriting, visuals, sound design, and editing, we aim to produce everything with AI. Our Mission & Creative Process We aim to push the boundaries of AI-driven creativity. As we experiment with cutting-edge technology, and since innovation requires iteration, occasional imperfections may arise. Thank you for being a part of this journey.
AI-Powered, Electron-Based Desktop Web Browser. Going beyond a standard browser, it includes an AI Browser Agent that understands every open page, answers user questions, and performs autonomous tasks.
Digital Twin MVP application for Predictive Maintenance powered by XGBoost and Groq LLaMA 4. Achieves 97.3% AUC accuracy in machine failure prediction.
A full-stack, Trello-like project management platform developed and actively used to manage and track the tasks of a 12-20 person autonomous vehicle team during my captaincy.
An advanced student management system built for 200-300 students in the AI community. It automates homework tracking and uses AI integration to check submitted assignments and provide automated feedback.
AI projects built with LLM, LangChain, and Ollama. Prescription analysis, AI-powered IDE, meeting analysis, and smart Telegram booking bot.
A Node.js chat application using LangChain and Ollama to process and analyze prescription CSV files.
A modern AI-powered IDE built with PyQt6, featuring dual AI models (Gemma2 + Qwen3) and intelligent workflows.
AI-powered web app that analyzes meeting transcripts, automatically extracting topics, tasks, decisions, and next steps.
Smart Telegram reservation bot for YZT Döner restaurant with natural language processing and a management dashboard.
Path planning and path tracking algorithms I developed for autonomous vehicles and robotic systems.
Advanced path planning using D* and D* Lite algorithms in a simulated environment with dynamic obstacles, road closures, and traffic density.
Discrete-time PID steering control and lateral path tracking simulation for autonomous vehicles using a kinematic bicycle model.
Implementation and simulation of the Pure Pursuit path tracking algorithm for autonomous vehicles.