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I'm a versatile freelance Machine Learning Engineer with expertise in various technologies and skills: -Machine Learning: Proficient in developing machine learning models for diverse applications. -Computer Vision: Skilled in creating object detection models and computer vision solutions. -Data Analysis: Experienced in data analysis, feature engineering, and data-driven insights. -Data Collection: Capable of gathering and preprocessing data from various sources. -Model Development: Adept at building, fine-tuning, and optimizing ML models. -Deployment: Experienced in deploying applications using technologies like FastAPI. -Cloud Computing: Proficient in AWS, including AWS Elastic Beanstalk, Kubernetes, and Docker. -Backend Development: Skilled in Python for backend development and database operations. -Database Management: Competent in managing databases and data storage solutions. -Problem Solving: Known for solving complex ML and computer vision challenges, including advanced data augmentation techniques. I specialize in leveraging technology to address real-world problems and thrive on tackling complex challenges in the machine learning and computer vision domains.

I engineer end-to-end spatial data pipelines and custom WebGIS platforms. My focus is on high-level geospatial architecture—solving structural bottlenecks to build repeatable workflows, clean spatial databases, and practical mapping systems that operational teams can actually use. Recent US project work includes address matching and territory planning for operational teams, public facing GIS maps for policy and exhibition use in Omaha, property and building height analysis in Los Angeles, and a browser based weather graphics platform built with MapLibre, radar layers, timeline controls, and export ready map views. International work includes site selection analysis in Germany, parcel and location intelligence workflows, PostGIS and QGIS topology cleanup, UK air quality grid matching, raster processing, and WebGIS tools built with MapLibre, Google Maps API, AWS, and spatial databases. I can support projects involving GIS analysis, WebGIS dashboards, PostGIS workflows, raster and remote sensing analysis, automated geospatial pipelines, and custom mapping tools. If you need a one time analysis, a repeatable GIS workflow, or a full WebGIS prototype, I can take the project from raw data to final deliverable with a clear technical process.

Clean data drives powerful AI models and smart business decisions. If your team is buried under messy spreadsheets, needs precision datasets labeled for machine learning, or requires custom computer vision pipelines, I build and automate the solution for you. Whether it’s 100 high-resolution images or 100,000 messy leads—I handle each task with engineering-level precision and a zero-margin-for-error mindset. 🔹 How I Can Help You: 🖋️ AI Data Annotation & Computer Vision: High-precision image and text labeling (Bounding Boxes, Polygons, Semantic Segmentation, NER). Custom-trained YOLO models and strict dataset Quality Assurance (QA). 📊 Web Scraping & Data Extraction: Custom Python (BeautifulSoup & Selenium) scripts, advanced anti-bot bypass configurations, and automated e-commerce/competitor data miners. 🧹 Data Cleaning & Wrangling: High-efficiency Pandas & NumPy workflows, complex regex text normalization, deduplication, and structured database formatting. 🛠️ Technical Toolset & Platforms: AI & Annotation: CVAT, Label Studio, Labelbox, Roboflow, YOLO Scraping & Automation: Python (Selenium, BeautifulSoup, Requests), ETL Pipelines Data Science & Languages: Pandas, NumPy, SQL, Git, Java, Node.js, HTML/CSS 🙌 Why Clients Choose Me: ✅ The Technical Edge: Because I write Python, I don't just label data manually; I design automated validation scripts to ensure 99%+ schema accuracy before delivery. ✅ Production-Ready Deliverables: My web scrapers and data pipelines include clean documentation and robust error handling so they remain resilient over time. ✅ Engineering-Grade Quality: Multiple quality-control passes on every dataset to guarantee zero corruption in your AI training models. ✅ Seamless Communication: Fast response times, daily/weekly updates, and strict data confidentiality. 💻 Infrastructure & Availability: ⚡ High-speed, stable internet connection with backup 💻 Powerful dedicated workstation for heavy data processing 🕒 Flexible hours (Compatible with multiple time zones)

I bring creative solutions to your problems via Data Science, Simulation Modeling, and Optimization with my proven approach. I analyze your problem, identify the best tools for your case, and develop a software solution with a lean and clean design, all steps being fully transparent to you. My work experience includes years of software tool development for engineering in product development and R&D. I hold an M.Sc. degree in Industrial Engineering from a top university in Istanbul. 𝗠𝘆 𝘁𝗼𝗼𝗹𝗯𝗼𝘅 : ● Python packages: ◦ SimPy (Simulation) ◦ Google OR-Tools, PuLP (Operations Research, LP, MILP), DEAP (Genetic Algorithms) ◦ Numpy, Pandas, SciPy, OpenCV, Statsmodels (Numerical Methods) ◦ pm4py (Process Mining), ◦ Scikit-Learn, XGBoost, PyTorch (Machine Learning) ◦ PyQt6, PySide, Streamlit, Tkinter (GUI Development) ● Discrete-Event, Monte Carlo, Agent-Based, and System Dynamics Simulation ● Vensim, PySD, Jaamsim (open source alternative to Simio, FlexSim, Anylogic) ● C#, Java, Matlab, GNU Octave programming ● Design of Experiments, Six Sigma, Minitab, ANOVA, A/B Tests ● SQL, PostgreSQL, MongoDB, SQLAlchemy, Flask, FastAPI, Docker ● MS Project, Google Sheets, ClickUp (Project Scheduling) 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗱𝗼𝗺𝗮𝗶𝗻𝘀 (with work experience) : Business Simulation* Engineering SW Tool Development* Product & Production Data Analytics Scheduling* Predictive Maintenance Energy Systems Modeling* Engine and Vehicle Data Analysis IoT, Telemetry, Telematics, and Diagnostics * See my portfolio and Github for examples. If you are in search of a 𝗿𝗲𝗮𝗹 and experienced freelancer in these fields, you've already found! 🟢 Available Now The proposed rate will depend on the scope and duration of your project.

Top 3% Freelancer who built enterprise multi-tenant RAG systems with custom LLM deployments, reduced LLM workflow costs by 70%, and delivered a 2M product data quality pipeline for a Fortune 500 biotech company, reducing manual efforts by 85%. Architected and deployed production systems across finance, biotech, energy, telecommunications, and healthcare. 5+ years taking end-to-end ownership on all projects, from greenfield architecture to secure & scalable production deployment, leading engineers and maintaining systems long-term. I specialize in production-ready AI solutions with measurable ROI. From 90% accuracy voice classification to billion-scale data engineering. Core Expertise: • AI Agents / Agentic Workflows (LangGraph, Tool Calling, Function Calling, Agent Memory Patterns, Agent Patterns, Multi-Agent Orchestration, Building MCP, Plugins, Skills, Hooks, Deterministic Enforcement, ReAct Pattern, AI Assistants, Research, Planning, Writing) • LLM Systems (Claude API, OpenAI API Integration, vLLM, LoRA/QLoRA Fine-Tuning, PEFT, RLHF, DPO, LLaMA, Mistral, Prompt Engineering, Deterministic Workflows, LLM Evaluation, Cost Optimization, Deploying Chatbots, Deploying LLMs, Claude Code, Codex) • RAG (Hybrid Retrieval, Vector Databases, Evaluation Harness, Tiered Access, Custom Document Parsing, PDF/Clinical Data Extraction, Ragas, Multi-Tenancy) • NLP (Transformers, spaCy, Named Entity Recognition, Text Classification, Taxonomy Design, Rule-Based Extraction, Sentiment Analysis, Topic Modeling, Summarization, Information Extraction) • Generative AI (Structured Outputs, Pydantic Validation, Guardrails, Hallucination Prevention, AI Chatbot Development, AI Integration) • ETL & ML Pipelines • Time Series Applications at scale. - I personally prefer native APIs for building Agentic / LLM workflows. Domain Expertise: • Energy & Utilities (demand forecasting, carbon emissions, time series, pricing optimization) • Financial Services (compliance-ready RAG, churn prediction) • Life Sciences (biotech product classification, scientific NER, clinical data extraction, safety) • Telecommunications (voice classification, Whisper, ASR, diarization) Projects - Open source contributor (Langchain vLLM integration fix) - Enterprise RAG Engine with multi-tenancy, project-level isolation, custom vLLM deployments, agent live on the WhatsApp channel - customer support. - Finance-Specific RAG System with compliance features and RAG benchmarking - Enterprise Knowledge Base Chatbots Integrating (RAG daily sync on Notion, Slack, Website, Documents, evals, Live on Zendesk Customer Support Agent, Internal AI Agents on Slack(Deep Research, Q-A, Reporting), Blogpost creation with tone and fact checks.) - Production agentic workflows with state management, semantic processing, and monorepo CI/CD - SEO keyword clustering system processing 10k+ keywords under 10s using OpenAI embeddings + HDBSCAN - Enterprise Misspelling Detection Pipeline for 2M biotech products using FAISS similarity matching and 740k scientific corpus validation (Thermo Fisher) - Real-time Voice Classification System (90% accuracy, active learning pipeline) - Call Recommendation System with statistical engine for optimal calling times - Energy Market Forecast System for Budapest electricity prices - 500+ Class Text Classification with Fine-Tuned BERT - Extending a Lexicon using GloVe Word Embeddings - Databricks PySpark Data Pipeline for Aggregating Billion Scale Data - Time Series Analysis and Models on Energy Consumption Data from different locations in Belgium and Germany - API Integrations & Calculations on Electricity Business Objectives - Imbalanced Binary Classification on Anonymized Data (Oversampling + CatBoost & hGBM) - Data Processing Pipeline for 70m of Electricity Sensor Data for a Research Project Tech Stack: • Programming Languages: Python, SQL • Machine Learning & Deep Learning: TensorFlow, Keras, PyTorch, Scikit-Learn • NLP: LangChain, NLTK, Gensim, FAISS, Pinecone, pgvector • Time-Series: Prophet, TSMixer, ARIMA, SARIMAX, LSTM • MLOps & Data Engineering: Terraform, Linux, Apache Spark, Airflow, Docker, Flask, Streamlit, Gradio, MLflow, W&B, Optuna, CI/CD Pipelines, n8n workflows, Ragas • Cloud: Google (BigQuery, Cloud Functions, Cloud Run, Dataflow, Vertex AI, Firestore, Cloud Storage, Composer) • AWS (Lambda, SageMaker, S3, EC2, ECR, DynamoDB, Glue, CloudWatch) • Azure (Databricks-PySpark) • Database: PostgreSQL, Pinecone, Chroma • Data Manipulation & Statistics: Pandas, NumPy, OpenCV, Regex, SciPy, Statsmodels • Data Visualization: Matplotlib, Plotly • Web Scraping: BeautifulSoup, Requests • Building Custom NER Models & Linking, Question Answering, Text Similarity & Word Embeddings, Part-of-Speech Tagging & Dependency Parsing, Text Generation, Lexical Semantics & N-grams, Clustering • Logistic Regression, SVM, Decision Trees, Random Forest, Gradient Boosting Machines (XGBoost, LightGBM, hGBM), k-NN, CNN, RNN, K-Means, DBSCAN, HDBSCAN, OPTICS

👁️‍🗨️ AI Engineer | Computer Vision Specialist | Image Processing & ML Developer 🎯 Transform Complex Challenges into Scalable AI Revenue Engines I build smart AI and Computer Vision systems that automate complex tasks, transform data into insights, and solve real-world problems—fast, clean, and at scale. With a strong academic background and a hands-on mindset, I turn data and ideas into clean, deployable tools. I'm currently pursuing a Master’s degree in Computer Vision and AI at Bursa Technical University, combining academic depth with real-world project execution. Whether you're looking to process images, train deep learning models, or automate decision-making pipelines—I'm here to help. ✅ What I Bring to the Table (Backed by Code & Results): 💡 2+ years of hands-on experience in: -AI & ML Development: Classification, Regression, Clustering -Deep Learning: CNNs, RNNs using TensorFlow, Keras, PyTorch -Computer Vision: Object Detection, Image Segmentation, Feature Extraction -Image Processing: OpenCV, PIL, MATLAB Image Toolbox, Scikit-Image -Data Analysis: Google Data Analytics Certificate | Pandas, NumPy, Seaborn -Web Scraping: BeautifulSoup, Selenium, Scrapy -Automation: OpenAI GPT-4o, LangChain, Make.com workflows -Programming Languages: Python & MATLAB (full project lifecycle experience) -Deployment & Prototyping: Streamlit, Flask, Google Colab, Jupyter, Git 🧠 Domain Focus: 📸 Computer Vision -Real-time image classification and detection -Medical imaging, industrial inspection, visual automation pipelines -OpenCV, Scikit-Image, YOLO, custom-trained CNNs 🖼️ Image Processing -Noise reduction, filtering, thresholding -Edge detection, histogram equalization -Morphological operations & feature extraction -Image transformation, ROI analysis, multi-channel manipulation -OpenCV, PIL, MATLAB Image Toolbox, Scikit-Image 🤖 AI & Deep Learning -GPT-based agents & intelligent chatbots -Predictive modeling & data-driven decision systems -Custom models trained on proprietary datasets 🧹 Data Workflows -From scraping raw data to training models -Feature engineering, cleaning, and exploratory analysis -Data visualization dashboards with Python 🎓 Background & Certifications: -MSc in AI & Computer Vision – Bursa Technical University (in progress) -BSc in Electrical and Electronics Engineering with focus on interdisciplinary smart systems -Google Data Analytics Professional Certificate -Strong blend of theoretical knowledge + practical implementation Why Clients Choose Me: ✅ End-to-End Project Ownership – from data collection to AI deployment 💬 Communication-First Approach – clear updates, transparent timelines 📄 Clean Code & Docs – modular, scalable, easy to maintain Flexible Collaboration: Comfortable with agile workflows, research-based prototyping, or fast execution 📩 Let’s Solve It with AI. Whether you're a startup or a research team, I’ll help you: Build vision-based tools or AI assistants Automate data-heavy workflows Train and deploy ML models that work at scale 🎁 Free AI Roadmap: Tell me your biggest challenge—I’ll send back a tailored technical gameplan (free of charge, no commitment). Available for fixed-price or hourly projects. Confidentiality guaranteed.