I help businesses collect, extract, clean, and structure data using Python automation workflows. Whether you need AI-ready datasets, web scraping pipelines, PDF extraction, OCR processing, or large-scale data cleaning, I deliver organized and production-ready data that saves time and reduces manual work. I specialize in: • AI dataset preparation • Web scraping and automation • PDF and OCR extraction • Data cleaning and preprocessing • CSV/Excel data structuring • Automated data pipelines Services I offer: ✓ Web scraping using Selenium, Scrapy, and BeautifulSoup ✓ PDF-to-Excel/CSV extraction ✓ OCR extraction from scanned documents ✓ AI training data collection and preprocessing ✓ Dataset validation and cleaning ✓ Data deduplication and normalization ✓ Structured CSV, Excel, JSON, and database-ready delivery ✓ Automation for repetitive data workflows Tech Stack: Python, Pandas, NumPy, Selenium, Scrapy, BeautifulSoup, Tesseract OCR, PDFPlumber, Scikit-learn, Jupyter Notebook Recent Projects: • Built AI-ready body measurement datasets with metadata validation • Extracted and cleaned 25k+ PDF records into structured Excel files • Developed automated e-commerce web scraping pipelines • Organized verified datasets for machine learning workflows What clients can expect: • clean and accurate datasets • fast communication • documented workflows • reliable delivery • scalable automation solutions Send me your project details, website, dataset, or document source, and I’ll provide the best workflow and delivery plan for your requirements.

I architect and deploy production-grade AI systems — from LLM inference infrastructure to multi-agent workflows and RAG pipelines. My work spans the full stack: GPU cluster management, model deployment, agentic system design, and enterprise integration. 💡 Notable Projects mdgpt — Sovereign AI Platform (Mijndomein) Designed and deployed a sovereign LLM inference platform for a Dutch enterprise with 1.4M+ active subscriptions. Multi-provider gateway (vLLM, Anthropic, Gemini), 4×A100 GPU cluster, Kubernetes orchestration, and 130+ production agentic tools across engineering and office teams. Stack: FastAPI, async Python, Redis, Phoenix/OTel, Prometheus, OpenWebUI. Savion Clinic & Patient (LMXAI) Built a two-sided clinical AI platform from scratch — a patient nutrition coaching app and a clinic assistant automating 100% of nutritionist workflows. LangGraph-orchestrated multi-agent architecture, RAG pipelines for clinical knowledge retrieval, MCP tool integration, Django + MongoDB + Redis. LMXAI Benchmark (Context Engineering) Achieved top-5 global ranking in LLM education benchmarks, raising accuracy from 68% → 85% through advanced context engineering, prompt optimization, and agentic reasoning within a custom evaluation framework. 🎯 How I Work I build systems that are modular, observable, and production-ready — not prototypes. Focus is always on reliability, latency, and measurable business impact. 🧰 Core Stack LangGraph · LangChain · FastAPI · Python (async) · RAG · vLLM · SGLang · LoRA/QLoRA · Redis · Elasticsearch · PostgreSQL · MongoDB · Docker · Kubernetes · OpenAI / Claude / Open-Source Models · MCP · Context Engineering · GPU Inference · AWQ/FP8 Quantization

I help businesses turn raw, messy data into clean insights and save hours of manual work along the way. Whether you need precise data entry, deep web research, or a polished Power BI dashboard, I bring both analytical thinking and operational reliability to every project. With expertise in MS Excel, Python, SQL, Power BI, and Power Automate, I handle the full data pipeline from collection and cleaning to reporting and automation. What I can do for you: 📊 Data Analysis & Reporting • Interactive Power BI dashboards and reports • SQL queries for data extraction and transformation • Excel advanced formulas, pivot tables, and data modeling • Data cleaning, structuring, and validation ⚙️ Automation & Workflow • Power Automate workflows to eliminate repetitive tasks • Automated data pipelines and scheduled reports • PDF-to-Excel/CSV conversion at scale 🔍 Research & Data Collection • Web research, data scraping, and data mining • LinkedIn data collection and email list building • Company and contact research for sales and marketing • Business card digitization and CRM data entry I'm detail-oriented, deadline-driven, and easy to work with. Whether it's a one time data cleanup or an ongoing analytics project, I've got you covered. Let's talk about your data challenges. Message me today!

AI Engineer specializing in production LLM systems, Agentic AI, RAG, and Edge AI deployments. I build AI systems that go beyond prototypes — scalable, observable, and production-ready applications designed for reliability and real-world usage. My experience spans multi-agent systems, real-time Voice AI, advanced RAG pipelines, NVIDIA Jetson edge deployments, and computer vision systems, with a strong focus on latency optimization, workflow durability, and system observability. 🚨 Common AI Problems I Solve → Hallucinations and unreliable retrieval → Slow streaming and high-latency inference → Agents losing memory, context, or execution state → Poor observability and difficult debugging → AI demos that fail in production environments ✅ Production-Focused Solutions → Durable agent workflows using Temporal & DBOS → Advanced RAG pipelines with hybrid retrieval and reranking → Full tracing and observability for agents, tools, and LLM workflows → Real-time streaming architectures for Voice AI and conversational systems → Edge AI optimization on NVIDIA Jetson using TensorRT & DeepStream Core Expertise 🤖 Agentic AI & Multi-Agent Systems → Multi-agent orchestration and tool-use systems → LangGraph, LlamaIndex, AutoGen, Google ADK, PydanticAI → MCP servers, memory systems, planning, and HITL workflows 🔍 RAG & LLM Systems → Production RAG pipelines and knowledge-base AI → Hybrid search, reranking, embeddings, and retrieval optimization → GPT-4o, Gemini, Claude, LLaMA, Qwen, multimodal systems 🎙️ Real-Time Voice AI → Stateful voice agents with streaming audio pipelines → WebSocket-based low-latency architectures → Gemini-native voice agents and conversational workflows 👁️ Edge AI & Computer Vision → NVIDIA Jetson Orin/Nano deployments → YOLO, OCR, segmentation, tracking, and video analytics → TensorRT, DeepStream, edge inference optimization 🌐 Backend & Infrastructure → FastAPI, Django, REST APIs, WebSockets → PostgreSQL, Neo4j, Redis, vector databases → Docker, scalable deployment pipelines, event-driven systems ⭐ Selected Projects ✓ Conversena — Arabic conversational commerce AI with multi-agent workflows, hybrid RAG, multimodal search, and persistent memory ✓ VidEduGen — Multi-agent AI platform for automated educational video generation using scalable event-driven architecture ✓ Real-time Edge AI System — NVIDIA Jetson-based multi-camera vision pipeline with OCR, TensorRT, and DeepStream optimization ⭐ Why Clients Work With Me ✔ Production-first engineering mindset ✔ Strong expertise in Agentic AI and scalable LLM systems ✔ Real-world experience with Voice AI and Edge AI deployments ✔ Clear communication and maintainable system design If you’re building: → AI agents or multi-agent systems → RAG or knowledge-base AI applications → Voice AI or conversational systems → Edge AI / NVIDIA Jetson deployments → Computer vision or real-time AI pipelines I can help you design and ship a reliable production-grade AI system. 📩 Feel free to message me to discuss your project.

I help startups and B2B SaaS companies build, ship, and scale complete web applications powered by production-grade AI. Instead of hiring separate frontend, backend, and AI infrastructure engineers, I handle the entire product lifecycle — bridging the gap between robust, scalable full-stack architecture (NextJS, NodeJS, Python, AWS) and cutting-edge GenAI implementations (RAG pipelines, autonomous agents, and LLM orchestration). With 10+ years in full-stack development, $200K+ earned on Upwork, and a 100% Job Success Score (Top Rated Plus), I build with an ownership mindset to ensure your MVP hits the market fast and scales smoothly. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🌐 FULL-STACK & AI CAPABILITIES — WHAT I BUILD ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ → Full-Stack SaaS Platforms: Complete web applications with responsive UIs, secure multi-tenant auth, and complex business logic (React, NextJS, TypeScript). → AI Agents & Agentic Workflows: Multi-agent systems capable of autonomous execution, tool usage, and function calling (OpenAI, Claude, Gemini). → Production RAG Pipelines: Enterprise semantic search utilizing vector databases (Pinecone, pgvector, Qdrant) for accurate, private data querying. → Robust Backends & APIs: Highly performant, clean-code REST/GraphQL APIs and microservices (NodeJS, NestJS, Python, Express). → Automated Business Workflows: Intelligent document processing, automated lead scoring, and custom CRM/ERP AI integrations. INDUSTRIES I SERVE WITH AI + WEB SOLUTIONS: - Multifamily Real Estate — Custom web software layered over Yardi, AppFolio, Entrata, ResMan, RealPage, Apartments com - Hospitality / Hotels / Restaurants — AI booking flows, guest communication platforms, and review automation dashboards - MarTech / AdTech — Complete web analytics suites integrated with AdTech and MarTech API, and others like Meta, Google, TikTok, Yelp, and UberEats APIs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🏆 RESULTS FROM RECENT PROJECTS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✔ AI Voice Agent SaaS Platform — Complete frontend UI/UX redesign + Supabase backend refactor, delivered in 90 days ($7,000 fixed price, 5.0 ★) ✔ Senior NodeJS SaaS Integration — 816 hours of self-driven backend delivery on schedule across 6 months ($32,633, 5.0 ★) ✔ AI-Powered Real Estate Onboarding — Built the web frontend and AI backend workflow that reduced onboarding drop-off and boosted conversions. ✔ Enterprise Software — Systems built by my team are used daily by Cushman & Wakefield (Fortune 500 real estate firm). ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ TECH STACK ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ AI / LLM Integration: OpenAI API, Claude API, Gemini, LangChain, RAG, Vector Databases, Prompt Engineering, Function Calling, Structured Outputs Backend Development: Nodejs, NestJS, Python, Expressjs, Nextjs (Server Components) Frontend Development: React, TypeScript, Redux, Nextjs, Material UI, Tailwind CSS Mobile App Development: Flutter (Cross-platform, CI/CD with Codemagic) Cloud & DevOps: AWS (SQS, SNS, Lambda, RDS, ECS, ECR, CloudWatch, EventBridge, VPC, Route53, EC2), Terraform (IaC), Docker, Docker Swarm, Nginx Databases & Caching: PostgreSQL, MongoDB, MySQL, Redis, Pinecone, Qdrant, pgvector API & Enterprise Integrations (50+ types): REST / GraphQL / SOAP · OAuth2 / OIDC · Webhooks · ETL Pipelines · Payload Encryption ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🏢 ENTERPRISE & THIRD-PARTY INTEGRATIONS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Property Management Systems (PMS): Yardi Voyager · AppFolio · Entrata · ResMan · RealPage · Apartments com Marketing & Social Platforms: Meta (FB/IG) · Google Suite · Twitter/X · TikTok · Yelp · UberEats Past Enterprise Client Impact: STIHL · Liebherr · Cushman & Wakefield ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🤝 HOW WE WORK TOGETHER ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ → Discovery call → System architecture proposal → Milestone-based delivery → MVP in 6–12 weeks, production-ready scaling in 18–32 weeks → Available 30+ hrs/week, response time within 4–8 hours → Backed by a distributed team across 🇺🇦 🇵🇱 🇮🇹 🇷🇴 🇨🇦 if you need to scale resources rapidly I prioritize long-term, high-trust partnerships over quick fixes — 29 completed projects with an average engagement of 12-24 months. Let's jump on a call and map out what you're building.

I have vast experience of Manual SQA as well as Automation. I am highly capable in automating the frontend as well as backend of the websites especially using Behave, Pytest and Specflow. I worked and also working for multinational companies as a Senior Automation Engineer. Moreover, I have complete knowledge of Jira and agile methodology. Most of the companies I worked with were using Jira for project development tracking. Moreover, I just have started offering my services regarding SQA & Automation on Upwork but industrially I have vast experience of this field. Before that I sporadically do projects regarding ML & DL. You can also see that my client were highly satisfied. Moreover, I also have expertise regarding NLP and crypto future prediction too. I worked and completed multiple projects on these too. Moreover, I use Django and flask for web development or backend development. Experience Details Regarding SQA & Test Automation and Devops: A Top-Rated Quality Assurance Engineer with over 6 years of hands-on experience in QA Automation, Manual Testing, and Software Quality Assurance. I’ve worked with top-tier clients in AI, SaaS, Blockchain, Crypto, and E-commerce, helping them deliver scalable, secure, and flawless applications. 💼 What I Bring to the Table: ✅ Full QA Ownership — from test strategy to reporting ✅ Automation Expertise — Cypress, Playwright, Selenium, Pytest ✅ Manual Testing Pro — Functional, UI, Regression, Exploratory ✅ API Testing Mastery — REST APIs, Postman, GraphQL ✅ Mobile & Cross-Browser Testing — Android, iOS, Windows, Chrome, Safari ✅ Performance Testing — JMeter ✅ Security & Compliance Testing — Keeping your product safe and user-ready 🛠️ Tools & Tech I Use: ✅Languages: Python (10/10),Typescript(8/10), C-Sharp (6/10) ✅Testing: Behave, Cypress, Playwright, Selenium, Postman, JMeter, WebdriverIO, Appium ✅CI/CD: Jenkins, Docker, Bitbucket, GitHub Actions ✅Reporting: Allure Report, Html Report, ✅Databases: MySQL, PostgreSQL, MongoDB, Neo4j ✅Project Management: JIRA, TestRail, Zephyr ✅Platforms: BrowserStack, Shopify, WordPress, Wix, Web3 DApps Industries I’ve Worked With: ✅SaaS & Cloud Solutions ✅AI & Machine Learning ✅Contact Centers ✅eCommerce & Retail ✅Healthcare & EdTech 📦 What You’ll Get: ✔️ Detailed Test Plans & Reports ✔️ Actionable Bug Logs with Clear Reproduction Steps ✔️ Fully Automated Test Suites for CI/CD Pipelines ✔️ Performance & Scalability Testing ✔️ Continuous Collaboration Throughout Your Project ⭐ Client Testimonial: "Awais delivered good work on this Automation Testing project, and I enjoyed working with him. His communication was top-notch, he met all deadlines, and his skills were reasonably strong. At one point, I asked for a new task that was outside his area of expertise, and he did a brilliant job finishing it. I enjoyed working with Awais and will likely have additional jobs for him in the future." Experience Regarding Backend Development and Artificial Intelligence: I have expertise in django, flask, mysql, data sciences, Machine Learning and Deep Learning. I use python, pandas, numpy, matplotlib, SK-Learn, Tensorflow and Opencv. I worked on multiple projects regarding classification, regression, face-detection and object detection. I also have hand-on experience of deep learning where i use ANN, CNN and RNN models. #Automation #SQA #Python #AI #ML #DL

AI Developer | Automation & Predictive Analytics I build AI systems that take repetitive work off your plate and turn your data into decisions you can act on. Over 5+ years I've automated workflows that ran for hours down to minutes, shipped computer-vision models north of 97.5% accuracy in production, and built specialized models that outperform frontier LLMs on-task at a tiny fraction of the compute. AUTOMATION I design pipelines and AI-driven workflows that replace manual, error-prone processes: LLM-powered document processing, data ingestion and ETL, RAG/MCP integrations, and agentic systems that handle the busywork. I've cut enough of it for clients to gain multiples worth of efficiency gains. PREDICTIVE ANALYTICS I build forecasting, classification, and risk/scoring models that turn historical data into reliable signal - with the feature engineering, evaluation, and monitoring to keep them accurate in production, not just in a notebook. I also handle the engineering around the models - infrastructure, security, and the supporting services that keep everything running in production. When a project calls for it, I work across NLP, computer vision, and custom model training/fine-tuning. SELECTED RESULTS - Automated document processing from hours to minutes with LLMs - 97.5%+ accuracy on production computer-vision inference - Fine-tuned a compact language model to more than 5x the on-task accuracy of a frontier LLM (GPT-5.5) while using thousands of times less compute CORE SKILLS - Predictive analytics & forecasting, machine learning, deep learning, LLMs, computer vision - Workflow & data automation, MLOps, custom model training, optimization & fine-tuning - Supervised, unsupervised (K-Means, HDBSCAN), and reinforcement learning (Stable-Baselines3) STACK - Languages: Python, SQL, Bash - ML/Data: scikit-learn, PyTorch, TensorFlow, XGBoost/LightGBM/CatBoost, pandas - Build & Deploy: FastAPI/Flask, Docker, Kubernetes, Git I care about modular, efficient systems that keep working long after handoff - not one-off scripts that break the moment requirements shift. If you've got a process worth automating or data worth predicting from, let's talk about moving your project forward.

Stop wasting hours on manual workflows and heavy data processing. I engineer reliable Python and AI automation systems for businesses, specializing in neural networks, big data analysis, and scalable web infrastructure. Here's what I can do for you: ✅ Video Automation Pipelines: Building custom tools with MoviePy to generate content for platforms like YouTube and TikTok automatically. ✅ Real Estate & Business Automation: Creating systems that turn raw data into branded presentation videos in minutes. ✅ AI & Data Engineering: Implementing neural networks and handling heavy data analysis using PyTorch, NumPy, and Pandas. ✅ Web Scraping & Infrastructure: Extracting data from the web and deploying stable environments using Docker. ✅ Custom Scripting: Writing clean, maintainable code in Python, Java, or C# to replace manual workflows. Send me a message if you need to automate a video workflow or process data efficiently. Let's discuss what you need. ☀️

I build the high-performance backend systems that power your business growth. Most developers just write code. I solve business bottlenecks using Python and Django. Whether you need to automate a manual data process or build a secure API from scratch, I ensure your system is scalable, secure, and maintainable. ⚡ Recent Successes: Data Intelligence: Built a pipeline extracting entities from 100K+ PDFs with 98% accuracy. Payment Systems: Integrated Stripe for a Django application, handling complex subscription logic and webhooks. Performance: Refactored legacy DB queries, reducing API latency by 40%. 🛠 Technical Arsenal: Frameworks: Django, DRF, FastAPI, Flask. Automation: Selenium, Scrapy, Playwright, BeautifulSoup. Infrastructure: PostgreSQL, Redis, Celery, Docker, AWS, Render. Ready to automate your operations? Click "Invite to Job" and let’s discuss your architecture.

FULL-TIME | Senior AI Engineer / Architect (LLMs, Agents, Automation) A high-level AI Engineer / Architect to design and build AI-powered systems that automate and scale operations across a global organization. I can architect, build, and deploy real AI systems end-to-end that drive efficiency, automation, and growth. At smartData, we help businesses modernize operations, unlock new value, and stay competitive through next-generation AI, Machine Learning, and Automation. From intelligent assistants to enterprise-ready Agentic AI systems, our expertise spans the full spectrum of applied AI innovation. -- Generative & Conversational AI LLMs: GPT-4/4.5, Claude, Azure OpenAI Azure AI Foundary RAG: Knowledge-connected chatbots with real-time data Agentic AI: Enterprise-ready autonomous agents that can plan, reason, and execute multi-step workflows Multi-Agent Systems (MAS): Coordinated agents handling complex business processes (finance, logistics, customer support) Generative AI (GenAI): AI-powered content, code & creative solutions Multimodal AI: Text, image, audio, and video processing AGI Exploration: Research into human-level intelligence -- Natural Language Processing (NLP) Text extraction, classification & summarization Sentiment analysis, topic modeling & enterprise search Document parsing & knowledge assistants -- Speech & Audio AI Speech recognition: Whisper, Deepgram, AWS Transcribe Text-to-Speech: ElevenLabs, AWS Polly Voice analytics: Emotion & speaker detection Use cases: Medical transcription, call centers, voice UX -- Computer Vision (CV) Object detection, face recognition, segmentation Applications: medical imaging, surveillance, manufacturing QC Tools: Roboflow, OpenCV, CVAT Image Processing -- Reinforcement Learning (RL) Adaptive trial-and-error learning Robotics, simulations, recommendations, trading == Explainable AI (XAI) Transparent & auditable AI models Critical for healthcare, finance, and insurance compliance -- Edge AI Real-time, on-device inference IoT, autonomous vehicles, wearables, surveillance -- How We Help Enterprises ✔ Modernize operations with intelligent automation ✔ Deploy Agentic AI systems to streamline customer service, sales, HR, and back-office operations ✔ Build multi-agent frameworks for end-to-end workflows, decision-making, and orchestration ✔ Ensure compliance with explainable, auditable AI ✔ Enhance customer experiences with personalized AI assistants ✔ Accelerate innovation with early adoption of enterprise-ready emerging tech -- Team Expertise & Deliverables Our team combines expertise in Generative AI, Agentic AI, Machine Learning, and Enterprise Automation, delivering solutions that scale with business needs. -- Key Deliverables: AI Bots & Conversational Agents Enterprise Agentic AI Systems (customer support, ERP/CRM integrations, autonomous workflows) AI Bias Mitigation & Fairness Models Prediction & Forecasting Models Pattern Detection & Anomaly Identification Computer Vision & Object Detection -- Technical Expertise Generative AI & LLMs: GPT, OpenAI, ChatGPT, LangChain, Prompt Engineering Agents & MAS: LangGraph, CrewAI, AutoGen, enterprise orchestration frameworks Bots & Conversational AI: Dialogflow, Watson, RASA, AWS Lex Predictive Algorithms: Stock market prediction, churn analysis NLP: Sentiment analysis, NER, summarization, recommendation systems Deep Learning: Emotion detection, image recognition Voicebots (IVR): Twilio, Voximplant, Avaya, AWS Connect, GCP CCAI ML Models: Classification, Regression, Clustering, Forecasting -- Tools & Frameworks Languages: Python Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, LangChain, LangGraph Cloud Platforms: Azure, AWS, GCP, Watson ML Techniques: Bayesian, Gaussian Processes, SVM, regression models Computer Vision: OpenCV, YOLO, Mask-RCNN, SSD, R-CNN NLP: NLTK, Spacy, BERT, GPT-3/4, RAG pipelines Automation & Scraping: BeautifulSoup, Scrapy, Selenium, Playwright, AIOhttp Data Visualization: Pandas, NumPy, Matplotlib, Seaborn, DocumentAI CRM : Gohighlevel AI Tools : Claude AI , OpenAI , Gemini -- Project Types Delivered Enterprise-grade Agentic AI systems Multi-agent orchestration for workflows & automation Supervised & Unsupervised Learning Classification & Regression Models Automated Quote Creation Text Extraction, Summarization & Topic Modeling Sentiment & Predictive Analytics Computer Vision & Object Detection Enterprise Data Extraction & Analytics -- Domains Served Healthcare Human Resources Finance & Insurance Printing and Embroidery Business Business Development & Sales Surveillance & Security Genealogy & Graphology Workflow & Workforce Automation Customer Support Automation ✅ If your organization is exploring Agentic AI, Multi-Agent Systems, or Enterprise Automation, we can help design, build, and scale solutions that drive measurable outcomes.