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I'm a tech & growth-oriented data professional with over 7 years of experience across the entire data lifecycle (ETL, ELT, LTL). I specialize in developing efficient data flows and effective data delivery systems to drive business value. Services Offered: ✅ Database Migration & Metadata Upgrading – Expert migration services for PostgreSQL, MySQL, NoSQL databases and more. ✅ Data Warehouse Architecture – Custom-designed, scalable data warehouse solutions tailored to your specific business requirements. ✅ ETL/ELT Development – Robust data pipeline implementation using Python, DBT, and Apache Spark. ✅ Experienced Databricks and MotherDuck solutions. ✅ Data Pipeline Architecture & Deployment – Streamlined or Batch workflow automation with Apache Airflow and Kubernetes. ✅ Application/Service Containerization – Seamless deployment and management using Docker and Kubernetes. ✅ Open Source System Management – Enterprise-level implementation of Apache Airflow, Spark, Trino, Flink, Kafka, Superset, Druid,ELK(Elasticsearch, Kibana, Logstash), Hadoop, Hdfs and Cassandra. ✅ Streaming Pipelines – High-performance data streaming solutions utilizing Kafka, Redis, Cassandra, MongoDB, and Flink with Java/Scala development. ✅ API Development – Production-ready Python APIs using FastAPI, Django, Flask, and distributed asynchronous services. ✅ Working capability any where on Cloud(AWS,GCP,Azure) or Special on-premises environment. ✅ Designing CI/CD solution's development environments. Terraform, Helm, Github Workflow, Gitlab-CI's. ✅ Implemented logging monitoring environments Grafana, Prometehus, Elasticsearch, Kibana, Logstash. Let's discuss how I can optimize your data infrastructure and unlock valuable insights for your business. Contact me today to start the conversation!

I'm a senior fullstack developer with 6+ years of experience delivering scalable web applications, data platforms, and enterprise solutions for clients across various industries. ***WHAT I CAN DO FOR YOU*** 💎 Build complete fullstack applications from concept to deployment (Django/React, MERN, Laravel/WordPress) 💎 Develop high-performance data processing systems and ETL pipelines handling billions of records on a daily basis 💎 Create AI-powered features and automation (ChatGPT integration, ML models, intelligent workflows) 💎 Build IoT platforms and embedded systems with real-time monitoring dashboards 💎 Refactor & modernize legacy systems and integrate complex third-party APIs 💎 Deploy and scale applications on AWS with proper DevOps practices 💎 Develop custom scraping solutions and automation bots for data collection and workflow optimization 💎 Develop custom software solutions tailored to your specific business needs ***KEY ACHIEVEMENTS*** 🏆 Built I-NERGY: AI-powered energy grid platform using Django/React/PyTorch that won 1st place among 126 submissions in an EU-funded project 🏆 Built UrbanData ETL pipelines processing 100M+ daily adtech records and developed cross-platform SDKs with GDPR compliance on AWS 🏆 Developed RES4CITY learning management system serving tens of thousands of students across dozens of European universities with microservices architecture 🏆 Built ViziDrive EV charging platform with charging stations deployed in the EU and actively used, using Node.js microservices and Stripe integration 🏆 Transformed RenonBill Excel/VB financial models into modern Django applications with Monte Carlo simulations 🏆 Built RENEW smart home IoT platform using EMQX, FastAPI, and real-time dashboards 🏆 Developed over a dozen different custom scraping solutions and automation bots for various clients 💻 TECHNICAL STACK: AI/ML, Python/Django, FastAPI, JavaScript/Node.js, TypeScript, React, MERN Stack, PHP/Laravel, WordPress, MySQL/PostgreSQL, Docker, AWS (SES/S3/ECS/Aurora/RDS), Redis, EMQX/MQTT, PyTorch, Numpy, C++, Shell, Linux, Git, JIRA, Stripe API, Grafana, Plotly, IoT/Embedded Systems, API Integration, Web Scraping, Bot Development, Selenium, Playwright, Puppeteer, Automated Testing, Agile/Scrum Development

Hi, I’m Alihan. I’m a Power BI Developer, Power BI Analyst, Business Intelligence Analyst and Reporting Analyst focused on turning scattered business data into clear dashboards, reliable reporting systems and decision-ready insights. I help teams organize messy exports, improve reporting visibility and build Power BI dashboards that scale. My work often includes Power BI dashboard development, business intelligence reporting, data visualization, executive dashboards, operational dashboards, KPI reporting, SQL-based analysis, Excel reporting systems, API-fed reporting, CRM reporting and revenue visibility dashboards. As a Power BI Developer, I build dashboards that help teams understand performance clearly. As a Power BI Analyst, I turn raw data into useful reports, metrics and business insights. As a Business Intelligence Analyst, I help companies improve how they track KPIs, revenue, sales, operations and customer data. As a Reporting Analyst, I focus on creating reporting systems that are accurate, repeatable and easy to use. I’m typically hired to help with: * Power BI dashboard development * Power BI reports and reporting dashboards * Business Intelligence dashboards and BI reporting systems * Executive dashboards and operational dashboards * KPI dashboards, KPI reporting and metric tracking * Excel and Google Sheets reporting workflows * SQL-based reporting and data analysis * Data modeling, data cleaning and dashboard structure * Revenue reporting, sales reporting and CRM visibility * Automated reporting pipelines and multi-source dashboards * API-fed reporting systems and connected dashboards * Business analysis that supports faster and clearer decision-making Core strengths: * Power BI Development, Power BI Reporting, Power BI Dashboards * Business Intelligence, BI Reporting, Data Visualization * Reporting Systems, Dashboard Design, KPI Reporting * Data Analysis, Data Modeling, Data Cleaning * SQL Reporting, Excel Reporting, Google Sheets Reporting * CRM Reporting, Revenue Reporting, Sales Reporting * API Integration, Reporting Automation, Operational Reporting My goal is to help teams move from scattered spreadsheets and manual reports to clean Power BI dashboards, structured business intelligence systems and reliable reporting workflows. If you need a Power BI Developer, Power BI Analyst, Business Intelligence Analyst or Reporting Analyst to support dashboards, reporting systems, KPI tracking, CRM visibility or business intelligence workflows, feel free to invite me on Upwork or send me a direct message.

I am a Software and Embedded Developer that has experience in building both consumer and startup applications. I have been involved in building applications for both consumer and commercial products. As a scientist, I guarantee to deliver only top quality products. The results are solutions that consistently meet my clients needs and exceed their expectations. I am a scientist who is experienced in unmanned air vehicles together with neural networks, machine learning and python. I made lots of projects which are unique. Some of these are; -Writing ground controller systems (GCS) for controlling, tracking and changing the usable modes of unmanned aircraft vehicle. -Aerodynamic Design and Calculations for Fixed Wing Unmanned Aerial Vehicles Which are Used in Remote Sensing Studies. -INVESTIGATION OF THE EFFECTS OF WING DESIGN ON FLIGHT TIME, MANEUVERABILITY AND VELOCITY (VSTALL) IN FIXED WING UAV -Calculated viscosity, reynolds number, thrust, lift and v stall with python for aerodynamic of the Unmanned Aircraft Vehicles. -Implementation of a script that calculates sunrise and sunset measurements for Bakırlıtepe, Saklıkent campus Technologies I work with: Hardwares: Raspberry pi, Arduino, PIC Microcontroller Languages: Python, Java, C, C#, Dart, Flutter Some Subjects Of Research And Project: --Autonomous Vehicles --Satellite Image Processing --Digital Image Processing -- Data Preprocessing --Machine Learning --Neural Networks --Neural Language Processing -- UI design with PYQT5 --Aerodynamic Calculations and Aerodynamic Design For UAV Projects. --Image Processing Tools And Technologies: OpenCV, SPENVIS, SAGA, XFLR5, ArcGIS, FreeCAD, QGis, DS9, ESRI, Linux/Unix,Anaconda, Spyder, Git Atom, Eclipse, Visual Studio,Android Studio, PyCharm

I’m an AI Architect and Full-Stack developer focused on Azure OpenAI, Microsoft Fabric, RAG systems, .NET and Python. For more than 20 years I’ve been building end-to-end software solutions; in recent years my work has shifted almost entirely to Azure-based AI: RAG copilots, data agents, and smart workflows that sit on top of real business data (documents, spreadsheets, databases). What I do for clients: • Design and build RAG assistants using Azure OpenAI + Azure AI Search so users can ask questions in natural language and get grounded, source-linked answers. • Create data pipelines on Microsoft Fabric (Dataflow Gen2, Lakehouse, Delta tables, PySpark Notebooks) to clean, join and prepare billing, shipment and operational data. • Develop serverless indexers with Azure Functions + Blob Storage to ingest PDFs, templates and project files, enriching them with metadata for precise retrieval. • Implement robust .NET backends (C#, ASP.NET Core, Blazor) for APIs, authentication and post-processing of AI output (JSON→tables, validation, saving to SQL). • Build Blazor-based UIs so non-technical users can safely work with AI features in a familiar web interface. I’ve delivered production work for international clients (logistics, consulting, public sector) including: • A logistics copilot that connects Lakehouse tables and document indexes so teams can analyse shipping costs and rules without living in spreadsheets. • An assistant that auto-generates structured deliverables (plans, stakeholder matrices, trackers) from a short prompt, fully aligned to the client’s own templates. • A smart assessment/forms solution that turns PDFs into digital workflows, guides users step-by-step, and validates answers with RAG. I also run my own AI startup, supported by Microsoft for Startups with Azure credits, which I use to prototype and harden Azure-native AI architectures before applying them to client projects. If you need a practical Azure AI solution (RAG copilot, data platform or intelligent workflow) and want someone who can handle architecture, data engineering and code in one place, I’d be happy to discuss 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