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

🏆 Top Rated Plus on Upwork · Claude Certified Developer · 🎯 100% Job Success · 🤝 80% Repeat Clients · 💼 7+ Years of Experience I am an experienced Full-stack AI Developer specializing in building production-grade AI chatbots, claude based systems, voice agents, conversational AI systems, and scalable web applications using the latest LLMs and full-stack technologies such as ReactJS, NextJS, Django, FastAPI, & Python. I have hands-on experience developing intelligent conversational systems powered by technologies such as RAG, Dialogflow CX, RASA, Twilio, ElevenLabs, Deepgram, VAPI AI, Retell AI, Exotel, WebRTC, STT/TTS pipelines, AI IVR systems, WhatsApp bots, Slack bots, and real-time voice AI platforms, along with enterprise-grade full-stack systems built using React, Django, FastAPI, and Python. I focus on building AI products that combine strong conversational experiences, scalable backend architecture, modern frontend UI, and reliable third-party integrations. Core Expertise AI Chatbot & Conversational AI - AI Chatbot Development - RAG-Based Knowledge Assistants - AI Agents & Conversational AI Systems - ChatGPT & LLM Integrations - Multi-Agent AI Workflows - Intent Recognition & Entity Extraction - Context-Aware AI Conversations - AI Customer Support Systems - AI Workflow Automation - Vibe Coding: Claude Code, CursorAI, Antigravity, Windsurf, Codex Voice AI & AI Calling Systems - AI Voice Agents & AI Receptionists - Voice Bots & IVR Systems - Real-Time AI Calling Solutions - Twilio, Deepgram, ElevenLabs, Exotel - STT/TTS Integrations - Human Handover & Barge-in Support - Outbound & Inbound AI Calling Systems - Conversational Voice AI Workflows LLM, RAG & AI Stack - OpenAI & ChatGPT - Claude, Gemini, LLaMA, Mistral - LangChain & LlamaIndex - Pinecone, ChromaDB, Qdrant - Embeddings & Semantic Search - AI Chatbots trained on custom/company data - Retrieval-Augmented Generation (RAG) - Prompt Engineering & AI Orchestration 💻 Fullstack Development (React + Django) Frontend Development - ReactJS & Next.js - Responsive UI/UX Development - AI SaaS Frontend Applications - Tailwind CSS, ShadCN UI Backend Development - Python, Django, FastAPI, Flask - REST APIs & Webhooks - Authentication & Role Management - Microservices Architecture - Third-Party API Integrations Automation & Integrations - n8n Automation Workflows - CRM Integrations - AI Process Automation - Workflow & Business Automation Systems Cloud & Deployment - AWS, Azure, GCP - Docker & Kubernetes - DigitalOcean & Heroku - HuggingFace Spaces - CI/CD & Deployment Pipelines Databases - PostgreSQL - MySQL - MongoDB - DynamoDB - Vector Databases AI & NLP Technologies - spaCy, NLTK, BERT - TensorFlow & PyTorch - OCR & Document AI - Data Processing & Analytics Let’s Build Your AI Product Whether you want to build an AI chatbot, voice AI system, AI SaaS platform, or a complete full-stack AI web application using React and Django, I can help design, develop, and deploy a scalable production-ready solution tailored to your business needs. If you already have a product idea or want to integrate AI into your existing platform, I’d be happy to provide consultation and help define the best technical approach.

Transforming Business Workflows with Custom AI Agents, Voice AI, and Intelligent Automation. Specializing in Advanced RAG Systems (Talk-to-Data) and End-to-End ML Pipelines that turn complex data into ROI. 🚀 Available to start within 24 hours. Hello, Hello, I am an AI & Machine Learning Engineer with 5+ years of expertise in developing and scaling AI-powered solutions. I thrive in blending deep AI research (Data Science, NLP, Computer Vision) with practical, real-world applications like Voice Assistants and Agentic Workflows. 💡 Core Expertise & Specialized Solutions **RAG & Voice Assistants (The New Frontier)** - Voice & Conversational AI: Developing low-latency, human-like voice agents for customer support and appointment setting. - Advanced RAG Systems: Specialized in building high-performance semantic search and retrieval systems using FAISS, Pinecone, and Milvus. - AI Agents & LLMs: Expert in LangChain and CrewAI, integrating GPT-4, Claude, and Llama 3 into dynamic systems that execute code and manage CRMs. **Generative AI & Natural Language Processing (NLP)** - LLM Development: Expertise in training and deploying models such as GPT-3.5, GPT-4, and other Transformer-based architectures for tasks like text generation, sentiment analysis, and conversational AI. - Chatbot Development: Specialized in developing advanced chatbots using frameworks like LangChain, integrating them with OpenAI GPT models, and leveraging AI agents for dynamic, real-time interactions. - NLP Techniques & Tools: Skilled in NER (Named Entity Recognition), text summarization, translation systems, and information extraction, using libraries such as SpaCy, NLTK, and Hugging Face. **Computer Vision & Multimodal AI Systems** - Deep Learning Models: Proficient in building Computer Vision applications using Convolutional Neural Networks (CNNs), Generative Adversarial Networks (GANs), and models like YOLO, VGG, and ResNet. - Multimodal Integration: Experienced in combining visual and textual data using state-of-the-art techniques to create robust, multimodal AI solutions for image recognition, object detection, and interactive applications. - Tools & Frameworks: TensorFlow, Keras, OpenCV, MediaPipe, and integration with vision APIs such as Dlib and Roboflow. **Machine Learning & Data Science** - Supervised & Unsupervised Learning: Expertise in classification, regression, clustering, and recommendation systems using Scikit-learn, XGBoost, and LightGBM. - Time Series Analysis: Skilled in traditional models (ARIMA, GARCH) and deep learning approaches (LSTM, GRU) for forecasting and predictive analysis. - Data Wrangling & Visualization: Strong background in data preprocessing, feature engineering, and visualization using Pandas, Numpy, Tableau, PowerBI, and Matplotlib. **Backend Development & Deployment** - API Development & Integration: Proficient in Python-based backend development with frameworks like Flask, FastAPI, and integration of AI models into scalable APIs. - Cloud Platforms: Expertise in deploying models on cloud services (AWS, Azure, GCP) and utilizing services such as AWS S3, EC2, Lambda for scalable solutions. - Containerization & Orchestration: Extensive experience in Dockerized deployments, Kubernetes clusters for managing applications, and automating workflows. **Custom AI Solutions & Automation** - AI-Driven Systems: Developed AI-powered automation tools, integrating LLMs with external systems for seamless data retrieval, document search, and real-time analytics. - Vector Search Engines: Specialized in implementing high-performance semantic search and retrieval systems using FAISS, Pinecone, and Milvus for vector databases. - Automated Solutions: Implemented solutions to extract structured data from unstructured documents, including PHI de-identification and legal translation systems. 📊 Technology & Tool Stack Languages & Frameworks: Python, JavaScript, React, Node.js, SQL Machine Learning & AI: TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain Data Processing & Visualization: Pandas, Numpy, PowerBI, Tableau Cloud & Deployment: AWS (S3, EC2, Lambda), Azure, GCP, Docker, Kubernetes, Flask, FastAPI Vector Search Engines: FAISS, Pinecone, Milvus NLP Tools: SpaCy, NLTK, Hugging Face, OpenAI API Computer Vision: OpenCV, MediaPipe, YOLO, TensorFlow 🚀 What I Offer I deliver more than just code; I deliver Scalable Systems. Whether it’s designing an intelligent chatbot, automating a legal translation workflow, or building a real-time voice agent, I am committed to driving innovation and exceptional results. Ready to automate your bottleneck? Let’s hop on a 5-minute discovery call.

I'm a Python Engineer and AI specialist with expertise across the full data and content lifecycle — from building production data pipelines and RAG systems to writing the technical articles that explain how they work. My background is hands-on engineering first. I've built NLP preprocessing pipelines for domain-specific corpora, designed ETL systems for structured and unstructured data, developed end-to-end RAG pipelines with LLM evaluation frameworks, and published 300+ technical articles on Python, AI, and Data Science — maintaining a 100% Job Success Score on Upwork throughout. What makes me different is that I operate at the intersection of engineering depth and communication clarity. I can build the system and document it, implement the pipeline and write the article about it, design the RAG architecture and explain the tradeoffs to a non-technical stakeholder. Core expertise: — Python (pandas, NumPy, spaCy, scikit-learn, LangChain) — Data engineering: ETL pipelines, data cleaning, transformation, NLP preprocessing — AI & LLMs: RAG pipeline design, embedding strategies, vector store integration, LLM evaluation — Technical writing: AI/ML, Python, SaaS, Data Science, Developer tools — Tooling: Streamlit, FastAPI, Jupyter, Git, HuggingFace Transformers

⭐⭐⭐ 𝐓𝐨𝐩-𝐑𝐚𝐭𝐞𝐝 𝐅𝐫𝐞𝐞𝐥𝐚𝐧𝐜𝐞𝐫 | 𝟓+ 𝐘𝐞𝐚𝐫𝐬 𝐨𝐟 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐢𝐧 𝑨𝑰 & 𝑫𝒂𝒕𝒂 𝑺𝒄𝒊𝒆𝒏𝒄𝒆 ⭐⭐⭐ Hi there! I’m 𝐈𝐦𝐚𝐚𝐝 𝐔𝐥𝐥𝐚𝐡, a 𝐒𝐞𝐧𝐢𝐨𝐫 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭 with a 𝐌𝐚𝐬𝐭𝐞𝐫’𝐬 𝐢𝐧 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 and 𝐨𝐯𝐞𝐫 𝟓 𝐲𝐞𝐚𝐫𝐬 of 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 delivering 𝐡𝐢𝐠𝐡-𝐢𝐦𝐩𝐚𝐜𝐭 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬. I specialize in 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 (𝐍𝐋𝐏), 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧, 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞, helping businesses 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 raw data to 𝐮𝐧𝐥𝐨𝐜𝐤 𝐚𝐜𝐭𝐢𝐨𝐧𝐚𝐛𝐥𝐞 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬 and 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐀𝐈-𝐝𝐫𝐢𝐯𝐞𝐧 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 and 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐭𝐚𝐬𝐤𝐬 using 𝐀𝐈. ⦿ 🚀 𝑾𝒉𝒂𝒕 𝑰 𝑶𝒇𝒇𝒆𝒓? » 🤖 𝐄𝐧𝐝-𝐭𝐨-𝐄𝐧𝐝 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 ✅– From data preprocessing to deployment. » 🧠 𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐍𝐋𝐏 & 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 ✅– Chatbots, text analysis, image recognition, and more. » 📊 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 & 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 ✅– Turn raw data into business intelligence. » 🐍 𝐂𝐮𝐬𝐭𝐨𝐦 𝐏𝐲𝐭𝐡𝐨𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 ✅– Automated scripts, data pipelines, and AI integrations. » 📈 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 & 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬 ✅– Present complex data clearly and thoughtfully. ⦿ 🛠 𝑲𝒆𝒚 𝑬𝒙𝒑𝒆𝒓𝒕𝒊𝒔𝒆: » 🤖 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐀𝐈: Predictive Modeling, Deep Learning, Regression, Classification, Time Series » 📝 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 (𝐍𝐋𝐏) – Chatbots, Text Analysis, Sentiment Analysis, LLMs » 🖼️ 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 – Image Recognition and Classification, Object Detection, OCR » 📊 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 & 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 – Forecasting, Anamoly Detection, Data-Driven Decision Making, Business Intelligence » 🐍 𝐏𝐲𝐭𝐡𝐨𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 – Automation, API Development & Integration, Data Pipelines » 📈 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 & 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 – Matplotlib, Seaborn, Power BI & Tableau ⦿ 🛠 𝑻𝒆𝒄𝒉 𝑺𝒕𝒂𝒄𝒌 & 𝑻𝒐𝒐𝒍𝒔: » 🐍 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 – Python, R, C++ » 📦𝐌𝐋 & 𝐃𝐋 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: TensorFlow, Keras, Scikit-learn, OpenCV, PyTorch, NLTK » 🗄️ 𝐃𝐚𝐭𝐚 𝐌𝐚𝐧𝐢𝐩𝐮𝐥𝐚𝐭𝐢𝐨𝐧 & 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 – Pandas, NumPy, SciPy & SQL » 📊 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 – Matplotlib, Seaborn, Tableau, and PowerBI » 🖥️ 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐬 – Jupyter Notebook, PyCharm, Spyder » ☁️ 𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 – AWS, Google Cloud, Flask, FastAPI ⦿ 💡 𝑾𝒉𝒚 𝑯𝒊𝒓𝒆 𝑴𝒆? » 🚀 𝐏𝐫𝐨𝐯𝐞𝐧 𝐓𝐫𝐚𝐜𝐤 𝐑𝐞𝐜𝐨𝐫𝐝: Successfully delivered ML and AI solutions across various industries. » 🎯 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬-𝐅𝐨𝐜𝐮𝐬𝐞𝐝 𝐀𝐈: I align AI/ML solutions with your business goals to maximize impact. » 💡 𝐂𝐮𝐭𝐭𝐢𝐧𝐠-𝐄𝐝𝐠𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: Skilled in Scikit-learn, TensorFlow, Keras, OpenCV, Pandas, NumPy, NLP libraries (NLTK, SpaCy), and more. » ⚡ 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 & 𝐑𝐞𝐥𝐢𝐚𝐛𝐥𝐞: I prioritize accuracy, efficiency, and timely delivery in every project. » 📞 𝐑𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧: Regular updates & well-documented code. 📩 𝑳𝒆𝒕'𝒔 𝑩𝒖𝒊𝒍𝒅 𝑺𝒐𝒎𝒆𝒕𝒉𝒊𝒏𝒈 𝑨𝒎𝒂𝒛𝒊𝒏𝒈! If you're looking for a dedicated, results-driven data scientist to help with your ML/AI projects, let’s connect! I’m excited to collaborate and bring data-driven innovation to your business. 📌 Click "𝑯𝒊𝒓𝒆" to get started!

Hi! I am Viacheslav🙌 As a professional Python developer with over 8 years of experience, I have a deep understanding of the language and its many applications. From building data analytics tools to developing web applications and scripting automation solutions, I have worked on a wide range of projects that have honed my skills in Python programming. Throughout my career, I have developed proficiency in various Python frameworks and libraries, including Django, Flask, NumPy, Pandas, and Scikit-learn. I am also familiar with other technologies such as SQL, and NoSQL databases, and front-end technologies such as HTML, CSS, and JavaScript. As a detail-oriented developer, I pride myself on delivering clean, well-documented, and efficient code that meets or exceeds client expectations. **Some facts: ✅ 2000+ jobs completed on Upwork 💼 22 years of experience 🥇 Upwork Breakthrough of the Year 💪 One of the best B2B firms on Clutch 🌎 20+ Clients’ locations 💻 Full cycle development services Whether you need a custom Python solution, a web application, or a data analytics tool, I am confident that I have the skills and expertise to deliver high-quality results that meet your specific needs. Let's work together to bring your ideas to life. Keywords: python developer, python django, python django developer, machine learning python, python full stack developer, python web scraping, python full stack developer flask, python developer aws, python ai developer, Python, Django, Flask, FastAPI, Pandas, NumPy, Matplotlib, Seaborn Scikit-learn, TensorFlow, PyTorch, Keras, XGBoost, spaCy, NLTK, Transformers, BERT, GPT, OpenCV, CNN, Object Detection, PostgreSQL, MySQL, SQLite, MongoDB, Docker, AWS, Git, Linux, REST API, Web Scraping, Jupyter Notebook, Automation

⭐⭐⭐⭐⭐ Top Rated CTO | AI/ML Engineer and Entrepreneur | AI development and consulting for Startups and Enterprises Qualified in: • Generative AI • Natural Language Processing (NLP) • MLOps (IaC, CI/CD, etc.) • Cloud Computing (AWS, Azure, GCP) With almost 6 years in AI industry, I helped Startups and Enterprises to discover the potential of AI and make it work for efficiency and business growth. I designed and developed machine learning systems and data processing pipelines specializing in natural language processing (NLP) with 50+ successfully completed production projects related to: • Text generation • Classification • Summarization • Alignment • Semantic analysis • Machine translation • Information retrieval • Named entity recognition (NER) • and more --------------------------------------------------- Why Choose Me? --------------------------------------------------- • AI Integration: Business needs automations. AI can help you achieve this goal with my assistance in integration to your existing environment and/or product. • Cutting-Edge Solutions: Stay ahead with innovative applications of AI in marketing, sales, and business analysis. I bring the latest advancements to solve real-world challenges and create value. • Technical Expertise Meets Business Insight: My skills extend beyond coding to consulting, helping you understand and leverage AI's potential, regardless of your technical background. • Academic Expertise on the Frontier of Impossible: Having experience in the academic area, I know how to lead the research and join best of 2 worlds: applicability from production point and making impossible possible from academic --------------------------------------------------- Technical Skills: --------------------------------------------------- • Programming: Python, C++, C#, JavaScript/TypeScript, and SQL • Data Science & Machine Learning: PyTorch, Keras, TensorFlow, Scikit-Learn, Triton, JAX, llama.cpp, PEFT (LoRa, QLoRa) • Natural Language Procesing: NLTK, spaCy, CoreNLP, Langchain, Llamaindex, LLMs (GPTs, LLaMa, Mistral, Gemini, Claude), HuggingFace, FLAIR, OWL/RDF, H2O.ai, FlowiseAI, CrewAI, Vector DBs (Qdrant, Milvus, Pinecone, Azure AI Search, AWS Bedrock) • Mathematics: Statistics, Linear algebra, Calculus, Probability theory • Audio Processing: Whisper, Vosk, DeepSpeech, WaveNet, Piper, Tacotron 2 • MLOps: MLFlow, TensorBoard, Azure ML Studio, AWS SageMaker, AirFlow, W&B, DagsHub • Cloud Computing: Microsoft Azure, Google Cloud, DigitalOcean, Amazon Web Services • DevOps & CI/CD: Docker, Kubernetes, Bash, GitLab CI/CD, Azure Pipelines, Terraform • Web development: Flask, Streamlit, ASP.NET, REST, gRPC, GraphQL, Redis, React.JS • Data Engineering: SQL, NoSQL, GraphDBs • Data Visualization: Matplotlib, Folium, Plotly/Dash, Seaborn • BigData: PySpark, Databricks

I am an AI Full Stack Engineer with 4+ years of hands-on experience building production-grade SaaS platforms and AI systems used by real users not just demos. I work end-to-end: architecture → development → AI integration → deployment, with a strong focus on scalability, clean code, and long-term maintainability. I’ve delivered modern SaaS products, AI-powered tools, admin dashboards, and cross-platform apps for startups and growing businesses. My core strength is building real AI systems, not just API integrations. I design and deploy LLM pipelines (RAG, vector search, evaluation, tracing) and AI agents that operate reliably in production. 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 & 𝐀𝐏𝐈𝐬 - Supabase (Postgres, Auth, RLS, Edge Functions) - Secure authentication (SSO, OAuth, role-based access) 𝐀𝐈 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 & 𝐋𝐋𝐌𝐬 - OpenAI (GPT-5o), Claude, Gemini, Vertex AI - RAG systems (Pinecone, Qdrant, OpenSearch) - LangChain, LangGraph, LangSmith, Langfuse - Prompt engineering, evaluation, and tracing - Custom model deployment (vLLM, Mistral, Qwen, Gemma) - AI chatbots, voice agents (Vapi, Retell AI), and agentic workflows 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 - Tools: n8n, Make, LangChain - AI agents for support, content, and internal ops - Workflow automation with APIs and event-driven systems - Integration with CRMs, databases, and third-party tools 𝐀𝐈 𝐂𝐨𝐧𝐭𝐞𝐧𝐭 & 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐌𝐞𝐝𝐢𝐚 - Video: Runway, Veo 3, Pika - Image & Audio: Midjourney, ElevenLabs, Whisper 𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬 - AWS, GCP, Vercel, Netlify - CI/CD pipelines, Docker, Git - Secure, scalable deployments 🚀 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝 - Scalable SaaS platforms & admin dashboards - AI-powered applications & internal tools - Document-aware chat systems (RAG-based assistants) - AI agents for automation and decision-making -- Real-time apps with live data and chat - Cross-platform mobile apps (Flutter, React Native) 💡 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐂𝐡𝐨𝐨𝐬𝐞 𝐌𝐞 - Production-Ready: I build AI systems designed for the real world, not prototypes. - Scale & Security: Strong focus on performance and data protection. - Business Alignment: I translate business needs into robust technical systems. - Structured Execution: Clear communication and a proven track record of long-term success. If you’re looking to build a scalable SaaS product or an AI-driven system that actually works in real-world conditions, I can help you design and deliver it end-to-end.

I build AI-powered automation systems for businesses, WhatsApp chatbots, RAG pipelines, multilingual AI agents, and custom LLM integrations using LangChain, FastAPI, and the Meta Cloud API. I specialize in replacing expensive SaaS tools with custom-built solutions that cut costs and scale with your business.

8 years building production AI systems. 5 products acquired by companies. i build document extraction pipelines, multi-agent platforms, and RAG systems that actually work on real data, not notebooks and demos. my last system: replaced a Fortune 500 client's 40% accuracy OCR pipeline with a VLM-powered extraction system hitting 99.2% accuracy, 100% line item recall, and 0% wrong acceptance rate. $0.007 per document. 8-12 second processing. the client's previous system took 52 seconds and missed 60% of fields. before that, i built a hybrid RAG system (ChromaDB + PostgreSQL, cross-encoder reranking) that went from 3 business days manual lookup to 2.1 seconds. precision@5 = 92.4%. that system got acquired in January 2025. i also built and deployed a 24-agent enterprise delivery platform. FastAPI backend, Next.js frontend, multi-tenant isolation, knowledge graphs fetching 1.4M records in 0.24s. delivery time went from 3 days to 4 hours. what i bring that most ML freelancers dont: i have built production NLP pipelines with SpaCy, RapidFuzz (221+ vendor fuzzy matching registry), BERT/transformer fine-tuning, and deterministic validation engines. i learned not to let LLMs do math (GPT-4 gets arithmetic wrong 15% of the time). i built a Python rules engine instead. 99.7% accuracy. i have built complete agentic systems using LangGraph, MCP servers, Claude agents, and custom orchestration layers. not prompt chaining. real state machines with tool registries, persistent memory, and goal-directed planning. i have built full-stack platforms end-to-end: FastAPI + Next.js + Docker/K8s + AWS (Bedrock, SageMaker, Lambda, Kafka, OpenSearch, PostgreSQL). CI/CD pipelines, circuit breakers, horizontal scaling. i deploy microservices daily. i have my own AWS resources (Bedrock access, all models). i can start building and testing on your project immediately without waiting for infrastructure provisioning. core stack: Python (FastAPI, Django, Flask), JavaScript (Next.js, React), AWS, Docker/K8s, PostgreSQL, MongoDB, ChromaDB, LangGraph, SpaCy, PyTorch, TensorFlow products i built and shipped: - Agentic OCR: 100% accuracy document extraction (Fortune 500 client, production) - RivanIT: 24-agent enterprise delivery platform (production) - AgenTech: multi-agent lead gen system (acquired by YC W24 startup) - ORION-VTON: AI virtual try-on (acquired by Laam.pk, serving millions) - RadiXGPT: automated radiology reporting (published in Nature, deployed in hospital) - Enterprise RAG: hybrid retrieval system (acquired January 2025) - GradientAI: StyleGAN wallpaper generation (acquired by Iniity Labs) i have video demos of both flagship products (Agentic OCR and RivanIT) and live showcases with benchmarks, architecture, and full documentation. check my portfolio section below for links and details. message me and i will run a free test on your data. no setup, no commitment. you see results before you pay anything.