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I am a GIS Specialist with a robust background in analyzing and processing geographic data tailored for small and medium-sized businesses. Whether you're looking to derive valuable insights from spatial information, enhance decision-making processes, or implement custom GIS solutions, I am here to assist. Geospatial Analysis Expertise: Proficient in conducting comprehensive geospatial analyses, I bring a skill set that enables businesses to extract meaningful information from diverse geographic datasets. Custom GIS Solutions: Specializing in crafting personalized geographic solutions, I am committed to delivering results that align with your unique business requirements. Technical Proficiency: Well-versed in utilizing industry-standard GIS software, including ArcGIS and QGIS, along with a command of programming languages such as Python and SQL, I can navigate the technical landscape of GIS with ease. End-to-End Project Management: From conceptualization to execution, I offer full project management services, ensuring a seamless and efficient workflow from start to finish.

I'm a computer engineer fresh graduated also i am industrial engineer (major degree) and i want to improve myself while i am working as a freelancer websites. You can reach me via linkedin: in/ernsmsr/ /github/cynorra/

I bring effective solutions to your problems via Data Science, Simulation Modeling, and Optimization. I analyze your problem, identify best tools/methods for your case, and develop a software solution with a lean and clean design. All steps will be fully transparent to you. My long work history is full of successful software tool development projects in various industries. (Some examples are in my portfolio) I hold an M.Sc. degree in Industrial Engineering from a top university in Istanbul, with a specialization in system simulation. 𝗠𝘆 𝘁𝗼𝗼𝗹𝗯𝗼𝘅 : ● Python-based: ◦ SimPy (Simulation) ◦ Numpy, Pandas, SciPy, OpenCV, Statsmodels (Numerical Methods) ◦ pm4py (Process Mining), ◦ Scikit-Learn, XGBoost, PyTorch (Machine Learning), ◦ PyQt6, PySide, Streamlit, Tkinter (GUI Development), ◦ Google OR-Tools, PuLP (Operations Research, LP, MILP), DEAP (Genetic Algorithms) ● System Dynamics, Monte Carlo, Agent-Based, and Discrete-Event 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, Product & Production Data Analytics, Scheduling, Predictive Maintenance, Energy Systems Modeling, Engine and Vehicle Data Analysis, Diagnostics As a professional freelancer, I handle client work with clear communication, attention to detail, and highest level of confidentiality. ⚡ Available Now. Send your invite! ⚡

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.

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

Transforming ideas into intelligent solutions — I’m an AI developer on a mission to turn complex data into real-world impact. With deep expertise in machine learning, computer vision, and data science, I build smart systems that see, think, and learn. My specialties include: 🎥 Object detection & multi-object tracking in video streams ⚠️ Anomaly detection in surveillance footage 📊 Machine learning for classification, prediction, and pattern recognition ⏱️ Time-series analysis and forecasting for sensor-driven systems 🎥 Computer vision and deep learning for image & video understanding 📈 Data preprocessing, feature engineering, and model optimization Using state-of-the-art tools such as YOLO, TensorFlow, PyTorch, scikit-learn, and Pandas, I develop robust, scalable, and user-friendly solutions. In addition, I’m experienced in working with large datasets, performing data cleaning, feature engineering, and building machine learning models for classification, prediction, and pattern recognition. What sets me apart? ✅ Proven track record in AI and data science projects ✅ Analytical thinking and data-driven decision making ✅ Proven end-to-end project experience ✅ Insightful feature engineering & model tuning ✅ Clear communication & collaborative spirit ✅ Passion for building innovative tech that matters Let’s build something smart together. Check out my portfolio for real examples — and let’s bring your vision to life. 🔍📂