AI-powered SaaS for founders and teams: LLM and RAG features built into full-stack products where they drive real ROI, not bolted-on demos. Python/React, MVP to enterprise, 100% job success on Upwork. I act as your fractional engineering lead for AI SaaS, finding where AI actually pays off and shipping it with senior depth. What I deliver: - AI-powered SaaS: LLM features, RAG pipelines, and memory workflows integrated into Python/Django/FastAPI backends. - Full-stack product engineering: React/Next.js front ends, multi-tenant architecture, APIs, and analytics dashboards. - Data and automation: ETL pipelines and integrations that feed clean data into your AI. - Cloud-native, secure deployments on AWS and GCP. Selected work: - DignifyX: an AI sales-training platform that scores live conversations and returns structured, actionable feedback. - IAB Advisor: AI built into a financial-advisory platform with subscriptions, multi-language, and real-time updates. - Property Management SaaS: a multi-tenant B2B platform built for scale. I lead delivery with a vetted CodeFulcrum team (Top Rated Plus) behind me, so it holds past a single contractor. Stack: Python, Django, FastAPI, LangChain, RAG, Vector DBs, OpenAI, Claude, React, Next.js, TypeScript, Node.js, PostgreSQL, AWS, GCP. Tell me what you're building and I'll come back with how I'd architect it, no charge.

🚀 Turn Raw Data into Smart Decisions — From Web Scraping to Cutting-Edge AI I’m a passionate Data Scientist who loves solving real-world problems using data, automation, and artificial intelligence. With 5+ years of experience and certifications from Stanford (Machine Learning), Google (Data Analytics), Microsoft (Power BI), and IBM (Python for AI), I help clients extract insights, build intelligent systems, and automate what others do manually. Whether you're looking to scrape complex websites, build a machine learning model, or develop an AI-powered solution—I can take your idea from concept to execution. 🔍 Web Scraping & Automation I build robust Python scrapers using Selenium, Scrapy, BeautifulSoup, and more—capable of extracting thousands to millions of records while bypassing CAPTCHAs, handling dynamic pages, and rotating proxies (BrightData, ZenRows, 2Captcha). Every scraping job is ethical, accurate, and delivered in clean formats like CSV, Excel, JSON, or pushed directly to your API or database. 🧠 Machine Learning, NLP & Computer Vision From simple regressions to complex deep learning models, I deliver production-ready ML solutions tailored to your needs. I’ve built: Text-based models: sentiment analysis, entity recognition, summarization, intent detection using NLP techniques and libraries like SpaCy, Hugging Face, and OpenAI. Computer Vision apps: object detection, OCR, image classification using TensorFlow/Keras, OpenCV, and pre-trained CNNs. RAG (Retrieval-Augmented Generation) pipelines that combine LLMs (like GPT-4) with live data sources to power smart assistants and AI tools. I follow best practices in model evaluation, tuning, and deployment—ensuring each solution is explainable, scalable, and valuable. 📊 Data Analysis & Visualization I clean and analyze large datasets using Pandas, NumPy, and visualize insights through Power BI, Excel dashboards, and Matplotlib/Seaborn. I’ve helped businesses forecast revenue, identify customer churn, and optimize pricing by delivering dashboards and insights that drive decisions. 💡 What Sets Me Apart I don’t just code—I solve problems. I treat each project like a collaboration, focusing on your business goals while delivering clean, documented, and scalable solutions. Communication is always clear, delivery is fast, and quality is non-negotiable. Let’s build something smart, useful, and impactful. 📩 Message me and let’s talk about your project today.

🚀 $𝟐𝟎𝟎𝐊+ 𝐄𝐚𝐫𝐧𝐞𝐝 𝐨𝐧 𝐔𝐩𝐰𝐨𝐫𝐤 • 𝐓𝐨𝐩 𝟏% 𝐓𝐚𝐥𝐞𝐧𝐭 𝐰𝐢𝐭𝐡 𝟏𝟎𝟎+ 𝐒𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐁𝐚𝐜𝐤𝐞𝐝 𝐛𝐲 𝟏𝟏+ 𝐘𝐞𝐚𝐫𝐬 𝐨𝐟 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 👨‍💻 Searching for a high-impact 𝐒𝐞𝐧𝐢𝐨𝐫 𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫, 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫, 𝐏𝐲𝐭𝐡𝐨𝐧 𝐄𝐱𝐩𝐞𝐫𝐭, 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭, 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭, 𝐑𝐞𝐚𝐜𝐭.𝐣𝐬 𝐏𝐫𝐨, 𝐌𝐋𝐎𝐩𝐬 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐬𝐭, or 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭? Your search ends here! 🚀 # 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 ## 🧠 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞, 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐏𝐲𝐭𝐡𝐨𝐧 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐏𝐲𝐭𝐡𝐨𝐧 𝐄𝐜𝐨𝐬𝐲𝐬𝐭𝐞𝐦: NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, OpenCV, BeautifulSoup, FastAPI, Flask, Django 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: PyTorch, TensorFlow, Keras, HuggingFace Transformers 𝐈𝐨𝐓: Edge AI, Sensor Data Processing, Embedded AI, Autonomous Systems, Drone AI, Real-Time Vision Systems, Industrial IoT 𝐀𝐩𝐩𝐥𝐢𝐞𝐝 𝐌𝐋 & 𝐀𝐈: Natural Language Processing (NLP), Computer Vision (CV), IoT Analytics, Robotics AI, Recommender Systems, Predictive Analytics, Time Series Forecasting, Object Detection, Image Segmentation 𝐌𝐨𝐝𝐞𝐥 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: LoRA, QLoRA, PEFT, Transfer Learning, RLHF, DPO, SFT, Custom Dataset Fine-Tuning 𝐋𝐋𝐌 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: GPT-3.5 / GPT-4 / GPT-4o, Gemini (Gemini 1.5 Pro / Flash), Claude, ChatGPT, DALL-E, Whisper, LangChain, AutoGen, CrewAI, Amazon Bedrock, Ollama, Google Vertex AI ## 🤖 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬 CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI, Azure AI Speech, Riverside SDK 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐀𝐠𝐞𝐧𝐭 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: AutoGPT, BabyAGI, LangChain Agents, AutoGen Agents ## 🧩 𝐋𝐋𝐌 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐑𝐀𝐆 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: Multi-Turn Prompts, Few-Shot Learning, Zero-Shot Learning, Chain-of-Thought (CoT), Advanced Prompt Optimization 𝐎𝐩𝐞𝐧-𝐒𝐨𝐮𝐫𝐜𝐞 𝐋𝐋𝐌𝐬: LLaMA 3, Mistral 7B, Mixtral 8×7B, Falcon, Gemma, Bloom, Orca Mini, Guanaco 𝐑𝐀𝐆 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬: LangChain, LlamaIndex, Pinecone, FAISS, ChromaDB, Qdrant, Weaviate, Milvus 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧: Vector Databases, Semantic Search, Document Indexing, Knowledge Retrieval Systems 𝐋𝐋𝐌 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 & 𝐅𝐢𝐧𝐞-𝐓𝐮𝐧𝐢𝐧𝐠: Unsloth, Axolotl, HuggingFace AutoTrain, SageMaker Training 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: vLLM, TGI, TensorRT-LLM, SKPilot 𝐐𝐮𝐚𝐧𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧: AWQ, GPTQ, GGUF, GGML, PTQ, DQ ## ⚙️𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 & 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: FastAPI, Flask, Django, Node.js, Express.js, 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝 & 𝐖𝐞𝐛 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: React.js, Next.js, TypeScript 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 & 𝐃𝐞𝐯𝐎𝐩𝐬: Docker, Kubernetes, Redis, Nginx, Linux (Ubuntu, CentOS), CI/CD Pipelines 𝐂𝐥𝐨𝐮𝐝 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: AWS (EC2, Lambda, S3, API Gateway, Cognito, ECS/Fargate, RDS, DynamoDB), Google Cloud Platform, Azure, RunPod, Vercel AI SDK 𝐈𝐨𝐓 & 𝐄𝐝𝐠𝐞 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠: MQTT, Edge Devices, Telemetry Pipelines, Real-Time Data Streaming, Device-to-Cloud Architectures ## 🤖 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐀𝐈 𝐓𝐨𝐨𝐥𝐬 & 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: RunwayML, MidJourney, StabilityAI 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: Zapier, Make (Integromat), n8n, Synthflow 𝐂𝐑𝐌 & 𝐒𝐚𝐚𝐒 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬: Pipedrive, HubSpot, Zoho, GoHighLevel, ClickUp, Monday 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐀𝐈 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬: AI Agents, Multi-Agent Systems, AI Workflow Orchestration, Robotic Process Automation (RPA), IoT Automation, Edge AI Automation, Robotics Workflows 𝐌𝐮𝐥𝐭𝐢-𝐌𝐨𝐝𝐚𝐥 𝐀𝐈: Text-to-Video, Image-to-Text, Speech-to-Image ## 🗄️ 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬 & 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 SQL & NoSQL Databases: PostgreSQL, MySQL, SQL Server, MongoDB, Firebase, Firestore, Airtable, Knack, DynamoDB 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: ETL Pipelines, Data Warehousing, Data Lake Architecture, Real-Time Analytics ✔ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐄𝐱𝐞𝐜𝐮𝐭𝐢𝐨𝐧: I drive projects with Agile principles, leveraging Scrum and sprint cycles to ensure fast, efficient, and high-quality delivery. 💬 𝐋𝐞𝐭’𝐬 𝐂𝐨𝐧𝐧𝐞𝐜𝐭 I’m responsive, proactive, and always ready to dive into new ideas. 📩 Drop me a message, and let’s build something impactful together.

Hello I’m Orhan, I help organizations turn complex data into clear decisions and measurable outcomes by building production-grade analytics, BI, and AI systems. If your dashboards don’t match source systems, your data pipelines break during refresh, or teams are working with different versions of the same KPI, I help fix the full chain from data extraction to reporting and decision-making. My work often includes data integration, transformation, modeling, BI dashboard development, automation, applied AI, forecasting, scoring, and internal knowledge systems. I’m typically hired to help with: - KPI and metric alignment across teams - Stable data pipelines with automated refresh and monitoring - Executive dashboards and operational reporting systems - Self-serve BI setups that reduce manual reporting - CRM, product, finance, marketing, and operations analytics - Data modeling and semantic layer design - AI-powered workflows, forecasting, scoring, and automation - Analytics systems that support faster and clearer business decisions Core strengths - Python, SQL, API Integration, Automation - AI Agent Development, OpenAI API, NLP, LangChain - Tableau, Power BI, Data Visualization, Dashboard Design - Data Platform Architecture, ETL Pipelines, Data Modeling - Operations Analytics, Health and Research Analytics, Performance Reporting Selected client outcomes - Automated analytics for support operations, helping reduce response time and improve routing through self-serve insights - Optimized data pipelines and compute workflows to support faster experimentation and production handoff - Improved lead-to-opportunity visibility by unifying CRM, marketing, and product signals into a single reporting layer - Supported retention improvements through targeted analytics, scoring, and high-risk segment prioritization What I Build - Unified data pipelines across CRM, product, finance, marketing, and custom APIs - Modern analytics stacks using tools such as Airflow, dbt, Spark, and data warehouses - Power BI and Tableau executive dashboards with semantic models, metrics, and drilldowns - Forecasting and scoring systems for LTV, churn risk, and pipeline visibility - AI enablement through RAG, LLM workflows, evaluation, and automation where there is clear ROI - Documentation, runbooks, and handover materials for ownership-ready delivery Toolbox - Data Engineering: Python, Airflow, dbt, Spark, Kafka - Warehouses and Databases: BigQuery, PostgreSQL, MySQL, MongoDB - BI: Power BI, Tableau, Looker Studio - AI and ML: scikit-learn, TensorFlow, PyTorch, OpenAI API, RAG, LangChain, LlamaIndex - Integrations: REST APIs, GraphQL, Webhooks, ETL and ELT connectors How I Work I work across the full analytics chain, from raw data and pipelines to dashboards, automation, and decision support. My focus is on building clean, reliable, and scalable systems that teams can actually use after delivery. If you need support with analytics, BI, data pipelines, dashboards, reporting automation, or AI-powered data workflows, feel free to invite me on Upwork or send me a direct message.

Greetings! I'm Mujtaba, a passionate data enthusiast and Kaggle Expert with 4+ years of professional experience. Over the last 1.5 years, I've immersed myself in freelancing, refining my skills and delivering outstanding results to clients globally. I take pride in having successfully completed 90+ projects, showcasing expertise in data cleaning, analysis, visualization, machine learning, and deep learning. Skills: -Python Programming -Data Analysis and Visualization -Data Cleaning and Transformation -Data Extraction -Feature Engineering -Machine Learning and Deep Learning -Computer Vision -Natural Language Processing (NLP) -Audio Recognition and Preprocessing -Gen AI/LLM/Comfy UI/GPT/Open AI API -Prompt Engineering Tools: -Python/SQL -Pandas -Matplotlib/Seaborn/Plotly -NumPy -Scikit-Learn/Tensorflow/Keras/Pytorch/NLTK/OpenCV -Streamlit -MS Excel/MS Power BI -Jupyter Notebook/Kaggle/Google Colab -VS Code and many more (will use new tool, if required). Client satisfaction is my top priority, and I am dedicated to delivering high-quality work that not only meets but exceeds client expectations. Whether you require comprehensive data analysis, GUI development, or support with machine learning projects, I am here to tailor a solution to your unique needs. If you're in search of a skilled data scientist who seamlessly blends technical expertise with a commitment to excellence, I encourage you to reach out. Let's collaborate and transform your data challenges into opportunities for success. Thank you for considering my profile. I eagerly anticipate the prospect of working together.

⚡ Top Rated Plus AI Automation Expert & Full Stack Python Developer with 8+ years of experience building AI Agents, RAG systems,Web automations, Data Extraction solutions, workflow automation, and document intelligence solutions using OCR,n8n, LangChain, FastAPI, and LLMs (OpenAI, Claude, Gemini, ChatGPT).⚡ I help businesses automate operations, process documents, extract valuable data, integrate AI into workflows, and build production-ready systems that reduce manual effort by 70-90%. 𝗦𝗣𝗘𝗖𝗜𝗔𝗟𝗜𝗭𝗔𝗧𝗜𝗢𝗡𝗦 ◆ AI Agent Development ◆ Workflow Automation (n8n) ◆ OCR & Intelligent Document Processing ◆ PDF, Invoice & Form Extraction ◆ Web Scraping & Browser Automation ◆ Lead Generation & Data Enrichment ◆ Google Maps & Business Data Extraction ◆ Data Mining & ETL Pipelines ◆ FastAPI & Backend Development ◆ API Integrations & Custom Automation 𝗧𝗘𝗖𝗛𝗡𝗢𝗟𝗢𝗚𝗜𝗘𝗦 Python, FastAPI, OpenAI, Claude, Gemini, LangChain, OpenClaw, n8n, Selenium, Playwright, Scrapy, BeautifulSoup, Requests, Tesseract OCR, PaddleOCR, EasyOCR, OpenCV, PostgreSQL, MySQL, Redis, Docker, AWS, REST APIs 𝗥𝗘𝗖𝗘𝗡𝗧 𝗦𝗢𝗟𝗨𝗧𝗜𝗢𝗡𝗦 ◆ AI Agents for Customer Support & Lead Qualification ◆ OCR Systems for Invoices, Forms & Bank Statements ◆ Large-Scale Web Scraping & Monitoring Platforms ◆ Business Lead Generation & Data Enrichment Systems ◆ Google Maps & Local Business Data Extraction ◆ Document Processing & PDF Automation ◆ AI Workflow Automation using n8n ◆ Speech-to-Text & Transcription Solutions ◆ Custom FastAPI APIs & Backend Systems I focus on delivering reliable automation solutions that turn manual workflows into scalable systems, helping businesses collect data faster, process documents efficiently, and automate day-to-day operations.

I design and build production-grade AI systems, LLM applications, and intelligent automation platforms that help companies turn ideas into real AI products. 𝗠𝘆 𝘄𝗼𝗿𝗸 𝗳𝗼𝗰𝘂𝘀𝗲𝘀 𝗼𝗻 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜, 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 (𝗟𝗟𝗠𝘀), 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹-𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 (𝗥𝗔𝗚), 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀, 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀, 𝗮𝗻𝗱 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗰𝗹𝗼𝘂𝗱 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲. I help startups and companies move beyond AI prototypes and build reliable systems that operate in real production environments. Most of my work involves designing complete AI architectures including data pipelines, backend APIs, LLM orchestration, automation workflows, and cloud deployment. Clients usually work with me when they want to build serious AI products such as AI SaaS platforms, knowledge assistants, automation systems, or large-scale machine learning platforms. 🚀 𝗔𝗜 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 𝗜 𝗕𝘂𝗶𝗹𝗱 • LLM applications and AI copilots • Retrieval-Augmented Generation (RAG) systems • AI agents and multi-agent architectures • enterprise AI chatbots • document intelligence systems • knowledge base AI assistants • semantic search platforms • predictive machine learning systems • AI workflow automation platforms These systems integrate directly with company data, internal tools, APIs, and business workflows. 🧠 𝗟𝗟𝗠 𝗮𝗻𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 I design LLM architectures using modern AI frameworks and model providers including: OpenAI Anthropic Claude AWS Bedrock HuggingFace Transformers 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 𝗮𝗻𝗱 𝗼𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝘁𝗼𝗼𝗹𝘀: LangChain LangGraph LlamaIndex AutoGen CrewAI Capabilities include prompt engineering, tool calling, reasoning workflows, LLM guardrails, AI observability, hallucination mitigation, semantic retrieval systems, and multi-agent orchestration. 🔎 𝗩𝗲𝗰𝘁𝗼𝗿 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗮𝗻𝗱 𝗥𝗔𝗚 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 To enable AI systems to work with real data I build scalable retrieval pipelines using vector databases and embeddings including: FAISS Pinecone Weaviate PGVector These systems allow AI to search across documents, databases, and knowledge bases with high accuracy. ⚙ 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗠𝗼𝗱𝗲𝗹 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 Machine learning systems built using: PyTorch scikit-learn XGBoost HuggingFace Transformers ClinicalBERT Including LoRA fine-tuning, PEFT training, feature engineering, NLP pipelines, model evaluation frameworks, and predictive analytics. 🧩 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗮𝗻𝗱 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 Most AI systems require strong backend infrastructure. I build scalable architectures using: Python FastAPI Flask REST APIs microservices architecture asynchronous processing distributed systems design Frontend integration when required using React and modern web frameworks. ☁ 𝗖𝗹𝗼𝘂𝗱 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 AI platforms deployed across modern cloud environments including: AWS (Lambda, ECS, S3, SageMaker, Step Functions, SQS) Azure (Azure ML, AKS, Azure Data Lake) 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗮𝗻𝗱 𝗗𝗲𝘃𝗢𝗽𝘀 𝘁𝗼𝗼𝗹𝘀: Docker Kubernetes CI/CD pipelines GitHub Actions Azure DevOps 📊 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝗔𝗜 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 Scalable data pipelines built using: Apache Airflow Spark PySpark Databricks Snowflake dbt PostgreSQL SQL Server pandas NumPy 🔗 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 I also design automation systems connecting AI with business tools using: n8n Zapier Make (Integromat) API integrations workflow orchestration 🔐 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗮𝗻𝗱 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 For enterprise environments I implement: OAuth2 authentication JWT authorization RBAC access control secure key management audit logging HIPAA-ready architectures PHI protection 📌 𝗖𝗼𝗺𝗺𝗼𝗻 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗜 𝗛𝗲𝗹𝗽 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗪𝗶𝘁𝗵 • AI SaaS platforms • RAG chatbots connected to company data • AI agents for workflow automation • LLM infrastructure and APIs • machine learning pipelines • AI automation systems • enterprise document AI systems Technologies and tools I frequently work with include 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜, 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀, 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻, 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻, 𝗟𝗮𝗻𝗴𝗚𝗿𝗮𝗽𝗵, 𝗟𝗹𝗮𝗺𝗮𝗜𝗻𝗱𝗲𝘅, 𝗢𝗽𝗲𝗻𝗔𝗜, 𝗔𝗻𝘁𝗵𝗿𝗼𝗽𝗶𝗰 𝗖𝗹𝗮𝘂𝗱𝗲, 𝗛𝘂𝗴𝗴𝗶𝗻𝗴𝗙𝗮𝗰𝗲 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿𝘀, 𝘃𝗲𝗰𝘁𝗼𝗿 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀, 𝗣𝗶𝗻𝗲𝗰𝗼𝗻𝗲, 𝗙𝗔𝗜𝗦𝗦, 𝗣𝘆𝗧𝗼𝗿𝗰𝗵, 𝘀𝗰𝗶𝗸𝗶𝘁-𝗹𝗲𝗮𝗿𝗻, 𝗣𝘆𝘁𝗵𝗼𝗻, 𝗙𝗮𝘀𝘁𝗔𝗣𝗜, 𝗗𝗼𝗰𝗸𝗲𝗿, 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀, 𝗔𝗪𝗦, 𝗔𝘇𝘂𝗿𝗲, 𝗔𝗽𝗮𝗰𝗵𝗲 𝗔𝗶𝗿𝗳𝗹𝗼𝘄, 𝗦𝗽𝗮𝗿𝗸, 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀, 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲, 𝗻𝟴𝗻, 𝗭𝗮𝗽𝗶𝗲𝗿, 𝗮𝗻𝗱 𝗔𝗣𝗜 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 platforms.

Passionate about software architecture, I excel in assembling components for optimized solutions. With experience in Python, Node.js, ETL pipelines, backend APIs, 3rd Party Integration, DevOps, and Agile project management, I create efficient and reliable systems. I thrive on solving complex problems, writing elegant, efficient code, and adhering to best practices. Specializing in React, Vue, and React Native, I bridge aesthetics and functionality to deliver captivating digital experiences. 𝐖𝐞𝐛 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: ⭐️ Django/Flask/FastAPI: Expertise in Python web frameworks for robust backend development. ⭐️ React/Vue/Next.js/Nuxt.js: I create dynamic and interactive user interfaces with JavaScript frameworks. ⭐️ Node: Proficient in building server-side applications with Node.js. 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬 𝐚𝐧𝐝 𝐋𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬: ⭐️ Django REST Framework/Celery Beat/Celery/Redis: I build scalable and efficient backend solutions using Django and Celery. ⭐️ Smart Contracts: I have experience in blockchain development with smart contracts. 𝐉𝐚𝐯𝐚𝐒𝐜𝐫𝐢𝐩𝐭 𝐚𝐧𝐝 𝐖𝐞𝐛 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: ⭐️ ES6/Vue/React/Next.js/Nuxt.js: Proficient in modern JavaScript and popular web technologies for front-end development. 𝐌𝐨𝐛𝐢𝐥𝐞 𝐀𝐩𝐩 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: ⭐️ React Native: I create cross-platform mobile applications using React Native. 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧: ⭐️ Kubernetes: I'm well-versed in setting up and managing Kubernetes clusters, ensuring efficient container orchestration. ⭐️ Docker/DockerCompose: Proficient in Docker and Docker Compose for containerization and application deployment. ⭐️ Kubernetes Managed Services: Experienced in leveraging GKE, EKS, and AKS for scalable and reliable container management. ⭐️ Compute Engine: I've worked extensively with Google's Compute Engine for cloud computing resources. ⭐️ Cloud Run: Skillful in using Cloud Run to deploy containerized applications in a serverless environment. 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐢𝐧𝐠: ⭐️ Snowflake/BigQuery: I excel in data warehousing with Snowflake and BigQuery for scalable analytics. ⭐️ Postgres/Cloud SQL: Proficient in both PostgreSQL and Google Cloud SQL for robust database solutions. ⭐️ Dataflow/Cloud Storage: Skilled in data processing with Google Dataflow and Cloud Storage. ⭐️ ETL Pipelines/Data Pipeline: I can design, implement, and maintain ETL pipelines and do transformation through Pandas and NumPy. ⭐️ Redash/Metabase: Proficient in setting up interactive dashboards for data visualization. ⭐️ Compute Engine/Cloud Dataflow: Leveraging Compute Engine and Cloud Dataflow for powerful data processing. 𝐃𝐞𝐯𝐎𝐩𝐬 𝐚𝐧𝐝 𝐂𝐈/𝐂𝐃: ⭐️ GitOps/CI/CD Pipelines: I adopt best practices in DevOps, using GitOps and CI/CD pipelines to ensure reliable, automated deployments. ⭐️ Cloud Monitoring/Rancher/FluxCD/ArgoCD: Proficient in monitoring, Rancher orchestration, ArgoCD, and FluxCD for GitOps. 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐒𝐜𝐫𝐢𝐩𝐭𝐢𝐧𝐠: ⭐️ TDD, BDD ⭐️ Python Scripting, Bash Scripting 𝐒𝐞𝐫𝐯𝐞𝐫𝐥𝐞𝐬𝐬 𝐚𝐧𝐝 𝐂𝐥𝐨𝐮𝐝 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬: ⭐️ App Engine/Firebase: Experienced in Google App Engine and Firebase for serverless application hosting. ⭐️ Cloud Storage: Proficient in leveraging Google Cloud Storage for scalable file storage. ⭐️ AWS Lambda, Google Cloud Functions 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲: ⭐️ Grafana/Prometheus/Datadog: I ensure systems are well-monitored and provide insights through Grafana, Prometheus, and Datadog. ⭐️ Loki , ELK , and SPLUNK. 𝐃𝐚𝐭𝐚 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐐𝐮𝐚𝐥𝐢𝐭𝐲: ⭐️ Data Studio/Data Fusion/Data Flow: Proficient in data management and quality with Google Data Studio, ⭐️ Data Fusion, and Data Flow. ⭐️ Collibra/Alation: Skilled in data governance and cataloging with Collibra and Alation. 𝐈𝐦𝐚𝐠𝐞 𝐚𝐧𝐝 𝐕𝐢𝐝𝐞𝐨 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠: ⭐️ Verification via Camera/ID Image Processing: Skilled in image and video processing for identity verification. Let's connect and discuss the requirements you have at hand.

Top Rated Plus | Top 10 Machine Learning Agency on Upwork | $500K+ Earned | 8+ Years in AI & Software Engineering I'm an AI Engineer building production-grade AI agent and RAG systems, not simple prompt wrappers. With 8+ years in software engineering and AI development and $500K+ earned on Upwork, I hold Top Rated Plus status and our team is ranked among the Top 10 Machine Learning agencies on the platform. I work with companies that need an AI system to actually run in production, handle real user traffic, and stay accurate, not a demo that breaks on the first edge case. As an AI Engineer, my core work covers retrieval-augmented generation pipelines, agentic workflows with tool calling and structured outputs, prompt engineering, and LLM integration with OpenAI, Anthropic, and Gemini APIs. This is the kind of system clients need an AI Engineer for: not a chatbot that answers FAQs, but an agent that retrieves the right information, calls the right tools, and follows through on what the user actually needs, with hallucination reduction and evaluation built in from the start. As a Machine Learning Engineer and Data Scientist, I build systems for structured and time-series data: demand forecasting, anomaly detection, biomedical signal analysis, and structural health monitoring. My data scientist workflow covers Python, scikit-learn, pandas, NumPy, and SciPy alongside deep learning frameworks including TensorFlow, PyTorch, and Keras, with experiment tracking and evaluation metrics to ensure models perform consistently in production. When a project needs predictive or classification models alongside the AI agent itself, I own that layer too as a Machine Learning Engineer. As a Computer Vision Engineer and software engineer, I build object detection, multi-object tracking, pose estimation, and image segmentation systems using OpenCV, YOLO, and deep learning architectures. Where this intersects with the AI Engineer work is in multimodal systems and computer vision agents: I work with Vision Language Models (VLMs) to build AI pipelines that understand images and video, not just text. Most AI Engineers only work with text. I bring production computer vision and deep learning experience on top of the LLM layer, which matters for any product where the AI needs to see, not just read. On the engineering side, I work as a Python developer and software engineer building backend services with FastAPI, vector databases including Pinecone and pgvector, and LangChain or custom orchestration for multi-step agent logic. When a project needs full ownership of both the AI layer and the surrounding application, I work as a Full Stack AI Developer, handling backend APIs, database design, and frontend integration so the AI system ships as a complete product, not just a backend script. I work with a specialized team that includes a computer vision PhD, deep learning researchers, and mathematical optimization specialists. This lets me scope larger systems, split orchestration, retrieval, and evaluation work across the team, and deliver a full AI Engineer and Machine Learning Engineer engagement faster than a solo contributor could, with the software engineering discipline of clean APIs, logging, and testing baked in from day one. Clients typically work with me when they need: - an AI Engineer to build a RAG pipeline, AI agent, or chatbot that actually works in production - a Machine Learning Engineer or Data Scientist to build predictive models or structured data pipelines - a Computer Vision Engineer to add visual understanding or VLM-based reasoning to an AI product - a Software Engineer who understands LLM orchestration, tool calling, vector search, and backend architecture - a Python developer who can own the full stack from model training to deployed API If you need an AI Engineer and a software engineer with the full stack from prompt design to production deployment, let's talk. Main stack: Python, OpenAI API, Anthropic Claude, Gemini, LangChain, LangGraph, LlamaIndex, FastAPI, Pinecone, pgvector, TensorFlow, PyTorch, Keras, OpenCV, YOLO, Docker, PostgreSQL, JavaScript, Git.

I build high-performance data extraction systems, web scraping infrastructure, and automation pipelines that transform raw data into structured, reliable datasets ready for reporting, analytics, and business decisions. My focus is on delivering production-grade data systems - not just scripts, but scalable solutions that run on a daily basis, handle edge cases, and integrate seamlessly into your workflows. I work with startups, agencies, and data-driven businesses that need reliable data collection, automation, and structured outputs at scale. 🔹 Data Extraction & Web Scraping I develop robust web scraping systems capable of handling complex, large-scale data extraction tasks: • Web scraping from dynamic websites (JavaScript, pagination, auth) • Data extraction from directories, marketplaces, SaaS platforms • Scraping at scale with anti-bot handling & optimization • Structured data parsing and normalization • Long-running scraping infrastructure My solutions are built to be stable, maintainable, and scalable, even with frequently changing websites. 🔹 API Integration & Data Automation I build API-driven automation workflows that connect multiple systems into one clean data flow: • REST API integration (JSON / XML) • API automation and data synchronization • Multi-source data aggregation • Scheduled data collection pipelines • Error handling, retries, logging 🔹 Data Pipelines & ETL Systems I design complete ETL pipelines (Extract → Transform → Load): • Data cleaning and transformation • Merging multiple data sources • Structuring datasets for analytics • Automated pipelines (daily / hourly execution) • Scalable data processing workflows 🔹 Automation Systems & Bots I build custom automation systems and bots that eliminate manual work: • Data collection and monitoring bots 🤖 • Web automation & browser bots • API-driven automation workflows • Reporting automation pipelines • Task scheduling and orchestration 🔹 Data Delivery & Outputs Your data - clean, structured, and ready to use: • Google Sheets automation 📊 • CSV / Excel exports • Databases (PostgreSQL, MySQL, SQLite) • Custom API endpoints • Reporting-ready datasets 🔹 AI & LLM Integration I integrate language models into automation workflows - not chatbots, but production pipelines that use LLMs for real work: • OpenAI API integration into data pipelines • RAG systems for document retrieval and Q&A over your own data • LLM-based classification, extraction, and enrichment • Intelligent processing layered on top of scraping/ETL 🔹 Working with US & EU clients - flexible data hosting I work with clients worldwide. For European clients who need it, we can host data within the EU 🇪🇺(Germany) and handle it in line with GDPR. 🛠 Core Technologies Python Scrapy, Selenium, Playwright, BeautifulSoup Pandas, NumPy REST APIs, JSON, XML PostgreSQL, MySQL, SQLite Automation & scheduling systems Git / GitHub 💡 How I Work I don’t just write code - I help design reliable data systems. Clients involve me in: • Architecture decisions • Data pipeline design • Automation strategy • Long-term scalability planning ✅ What You Get ✔️ Clean, structured dataset ready for reporting ✔️ Stable, automated pipeline (daily execution) ✔️ Scalable and maintainable system ✔️ Clear documentation & version-controlled code ✔️ Optional monitoring, logging & alerts 🔑 Keywords (Upwork SEO) Web Scraping, Data Extraction, Python Developer, Data Mining, Automation, API Integration, API Automation, ETL, Data Pipeline, Data Engineering, Scrapy, Selenium, Playwright, BeautifulSoup, Data Processing, Data Cleaning, Google Sheets API, CSV Automation, Database Integration, Web Automation, Bots, Data Collection 💬 If you need reliable data pipelines or web scraping systems - let’s talk.