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AI Architect & Senior ML Engineer with 10+ years of academic + industry experience building production-grade intelligence systems, LLM pipelines, and multimodal AI. I design and deploy end-to-end ML architectures, including LLM orchestration, timeseries modeling, graph ML, OCR pipelines, and automated image-processing systems. Trusted by enterprises for high-reliability AI, data privacy, and scalable ML infrastructure.

I write clear, accurate, and engaging technical content about AI, data science, machine learning, and software products. With 3+ years of hands-on experience as a Data Scientist and AI Engineer, I understand the technologies I write about. I can turn complex technical concepts, product features, and research into content that is easy to follow without oversimplifying the subject. I can help you with: • Technical blog posts and long-form articles • AI, machine learning, data science, and analytics content • Product tutorials, explainers, and use cases • Developer-focused and thought-leadership content • Research-based articles and technical editing • SEO-friendly content for technical audiences My background includes machine learning, NLP, LLM applications, AI agents, data analytics, OCR automation, customer journey analysis, and cloud-based AI systems. I have written about topics such as AI testing agents, LLM systems, knowledge graphs, machine learning workflows, and data products for technical companies and publications. You can expect well-researched content, clear communication, and writing that is both technically reliable and enjoyable to read.

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

PROFILE Motivated freelance AI and Python developer with strong interest in data science and machine learning. I focus on delivering high-quality work, clear communication, and fast project completion. Currently building experience through real-world freelance projects.

Need AI solutions that actually work? I build intelligent systems that solve real business problems. I'm an AI & ML Engineer who transforms complex challenges into practical, scalable solutions. Whether you need intelligent automation, predictive models, or custom AI applications. I deliver systems that work reliably and drive results. What I Bring to Your Project: 🤖 AI & Machine Learning – From LLMs and multi-agent systems to computer vision and predictive analytics, I handle the full spectrum of AI development 📊 End-to-End Solutions – Data processing, model development, backend integration, and deployment. I manage the complete lifecycle 💻 Clean, Documented Code – You'll receive well-structured code with clear documentation, giving you full control over the system I build ⚡ Fast & Responsive – I communicate clearly, respond quickly, and keep you updated throughout the project I focus on understanding your business needs first, then building AI solutions that actually move the needle. You'll get transparent communication, reliable delivery, and code you can maintain long after the project ends. Ready to discuss your project? Let's talk about how can I solve your specific challenge.