Expert in ✅ Telecommunication ✅Data Science ✅ Machine Learning ✅ Deep Learning ✅ Strong Mathematical and Statistical understanding and experience in developing and designing Quality Products. Detailed expertise includes: ✅ Product Design ✅ Machine Learning mathematical concepts and algorithms ✅ Python (NumPy, Pandas, Scikit-learn, TensorFlow, Keras, Fast.ai, PyTorch, Flask, Matplotlib, Seaborn) ✅ Signal Processing ✅ Vehicle to Infrastructure Communication Models ✅ Vehicle to Vehicle Communication Models ✅ Orthogonal Frequency Division Multiplexing (OFDM) ✅ Non-Orthogonal Multiplex access (NOMA) ✅ Reconfigurable intelligent surfaces (RIS) ✅ Working with Big Datasets ✅ MATLAB ✅PCBWeb Designer ✅ Proteus ✅ Technical Writing If you are looking for an expert telecommunication Engineer with machine learning and data science expertise you are at the right place. I would be thrilled to work with you. Let's connect and explore how we can create an impactful solutions together! Regards,

I build production-grade AI agents, RAG systems, and computer vision pipelines that ship on real infrastructure — not just demos. IEEE-published AI engineer (DAELocNet, AIIT 2025), Top Rated with 100% Job Success Score. If you need an LLM app that actually works in production — grounded answers, no hallucinations, controlled cost and latency — or a computer vision model running reliably at scale, I take it from idea to deployed system. What I build for clients: AI Agents & Multi-Agent Systems — autonomous, tool-using agents with LangChain, LangGraph, OpenAI & Groq RAG & LLM Apps — retrieval-augmented chatbots with FAISS vector databases, reranking, and hallucination-resistant answers Fine-Tuning & NLP Pipelines — domain-adapted LLMs, text classification, and AI-generated text detection Computer Vision — real-time object detection & tracking with YOLOv8, CLIP, and OpenCV Fintech & Predictive ML — XGBoost fraud detection, repayment prediction (AUC 0.9852), time-series forecasting Rapid AI MVPs — Streamlit dashboards and end-to-end prototypes that get to value fast Recent wins: Built a Binoculars-style LLM text detection system (Qwen2.5) for an AI content verification client Deployed a fintech repayment prediction model achieving AUC 0.9852 with XGBoost + SageMaker Autopilot Built a multi-agent finance automation system using LangChain + Streamlit Real-time object tracking system processing 30 FPS Reduced prediction errors by 40% for an e-commerce client Why clients trust me: BS in Artificial Intelligence (Air University, Islamabad) IEEE-published researcher — DAELocNet presented at AIIT 2025, Riyadh Top Rated on Upwork with 100% Job Success Score End-to-end ownership: data → model → deployment → clean handoff with documentation Core stack: Python · LangChain · LangGraph · OpenAI · Groq · RAG · FAISS · Vector Databases · Hugging Face · Fine-Tuning (LoRA/QLoRA) · YOLOv8 · CLIP · OpenCV · XGBoost · Time-Series Forecasting · Streamlit · FastAPI · PyTorch · Multi-Agent Systems · AI Integration Building an AI agent, RAG system, LLM app, or computer vision pipeline? Send me your brief — I'll outline the best technical approach and a clear path to production.

Right now, a US company is processing today's customers through an AI platform I built. Nobody there wonders whether it will work. That is the point. The best AI system is the one your team forgets is AI. Getting there is the hard part, because hiring the wrong AI developer does not cost you their fee. It costs you 6 months, your data in a mess, and a rebuild from zero. I am the engineer companies hire to prevent that, or to clean it up after it happens: $100K+ delivered, 100% JSS, 2,900+ hours, contracts that run for years, every hour delivered by me personally. 𝐖𝐡𝐚𝐭 𝐓𝐡𝐚𝐭 𝐂𝐨𝐬𝐭 𝐋𝐨𝐨𝐤𝐬 𝐋𝐢𝐤𝐞, 𝐀𝐧𝐝 𝐇𝐨𝐰 𝐈 𝐑𝐞𝐦𝐨𝐯𝐞 𝐈𝐭 A chatbot that answers wrong costs you customers who trusted it. So every RAG system I build answers with citations, hybrid search + reranking, and an evaluation pipeline that catches quality drops before your users do. Your team verifies answers instead of hoping. An agent that acts without judgment costs you real money in one bad afternoon. So my agents carry human approval at exactly the steps where mistakes are expensive, and run unsupervised only where they have earned it. A codebase only one developer understands costs you everything when that developer leaves. So I ship documentation, monitoring, and a handoff your next engineer can pick up cold. No dependency on me, which ironically is why clients keep me. An AI-generated MVP that cracked under real users costs you the rebuild plus the reputation. I take over fragile and abandoned systems, map what is broken before touching anything, and rebuild while your users keep using the product. 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝 1. RAG Systems & Document Intelligence Ask questions about your PDFs, contracts, tickets, CRMs, and databases. Get answers with sources. Built on embeddings, hybrid search, reranking, citations, access control, and evaluation. 2. AI Agents & Workflow Automation Email triage, document review, compliance checks, lead qualification, reporting, and voice workflows (Retell / Vapi / n8n), wired into your real tools and APIs. 3. AI Copilots & Internal Assistants AI inside the dashboards your team already uses, so answers arrive where people work. 4. LLM-Powered SaaS Products Authentication, dashboards, admin panels, backend APIs, database design, cloud deployment, cost controls. From idea to a product users pay for. 5. Production Rescue & Takeover Half-built, fragile, or abandoned AI systems brought to stable production. Some of my favorite work, and increasingly my most requested. 𝐌𝐲 𝐓𝐫𝐚𝐜𝐤 𝐑𝐞𝐜𝐨𝐫𝐝 𝐎𝐧 𝐔𝐩𝐰𝐨𝐫𝐤 The platform I mentioned at the top is 1,000+ hours in and growing: a multi-agent system on LangGraph, FastAPI, PostgreSQL, used in daily operations by a real company. Another client hired me for a single task and stayed for 1,480 hours and $48K. A third came with a failing email automation and left a review saying it was delivered exactly as requested. Top Rated Plus, 100% JSS, $100K+ earned, clients across the US, UK, EU, and Gulf. Scroll down and read the reviews. They say it better than I can. 𝐂𝐨𝐦𝐦𝐨𝐧 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 AI chatbots for documents and knowledge bases, RAG with citations and access control, AI agents for CRMs and internal tools, internal copilots for support, sales, HR, and operations, LLM SaaS MVPs, voice AI assistants, workflow automation for email, reporting, and compliance, AI prototype cleanup, backend APIs, MLOps, and LLMOps. 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 𝐈 𝐁𝐮𝐢𝐥𝐝 𝐅𝐨𝐫 Marketing & CRM, healthcare workflows, e-commerce, SaaS, legal & contracts, real estate, customer support, recruiting, finance & reporting automation. Different industry? The engineering is the same: your data, your rules, your tools. 𝐁𝐞𝐟𝐨𝐫𝐞 𝐘𝐨𝐮 𝐇𝐢𝐫𝐞 𝐌𝐞 I am not the cheapest engineer on this platform, and I am not trying to be. I am the one still answering your messages a year from now. 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 LLMs: OpenAI, Claude, Gemini, Llama, fine-tuned open-source models AI Frameworks: LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, n8n RAG: Embeddings, hybrid search, reranking, citations, evaluation Vector Databases: Pinecone, Weaviate, FAISS, pgvector Backend: Python, FastAPI, REST APIs Frontend: React, Next.js, dashboards, admin panels Databases: PostgreSQL, MongoDB, MySQL, Redis Cloud: AWS, Azure, GCP Deployment: Docker, Kubernetes, CI/CD MLOps / LLMOps: MLflow, monitoring, evaluation, production pipelines 𝐇𝐨𝐰 𝐖𝐞 𝐒𝐭𝐚𝐫𝐭 Send me one message: What you have, and what you want it to do or what is going wrong. I reply with a concrete read on your situation: what is fragile, what to fix first, and how I would approach it. Then we run one small scoped milestone, so you judge me on shipped output before committing to anything long term. You risk one milestone, not six months. Every long contract on my profile started exactly this way. US, UK, EU + Gulf time zone overlap. Replies in hours. 𝐌𝐮𝐡𝐚𝐦𝐦𝐚𝐝 𝐆𝐡𝐮𝐥𝐚𝐦 𝐉𝐢𝐥𝐥𝐚𝐧𝐢 Full Stack AI Engineer

✅ EXPERT-VETTED 🎖 TOP RATED PLUS (Top 1% 🥇 of GLOBAL talent on Upwork). I am a Data Scientist, AI, Machine Learning, and Software Engineer with over 9 years of professional experience building software at any scale. I used to work at large companies such as Yandex as well as in many successful startups. Now I am running Shapeion Technologies, providing software and ML consulting for companies around the globe, to accomplish their business goals. I have been managing startup projects with client teams and have helped draft product roadmaps, planning, and talent acquisition. I have a good network of engineer talent who can help build product MVPs effectively. Products made by me helped startups to raise millions of USD. I have a team of 15 professional Data Annotation specialists who have completed many projects in the Natural Language Processing and Computer Vision fields. They are fluent in the following data annotation platforms: CVAT, Doccano, and ProdiGy. Here is a brief summary of my expertise: ● 2000+ worked hours and 30+ projects completed PERSONALLY only at Upwork ● Created MVPs for various startups and companies that raised millions of USD ● Helped 30+ businesses to reach their goals in time I am proficient in: ✅ Data Science and Machine Learning: ● classification and regression tasks ● time-series prediction (ARIMA, ...) ✅ Natural Language Processing (NLP): ● Text classification (including Sentiment Analysis, Aspect-Based Sentiment Analysis) ● Named Entity Recognition (NER, automatic extraction of relevant entities, like names, locations, dates, etc) ● Chat-Bots (Deep Learning or Rule-Based chat-bots for various domains) Frameworks: SpaCy, HuggingFace, Transformers, NLTK, Langchain, Pinecone Annotation platforms: Doccano, ProdiGy, Clarifai Architectures: BERT, LongFormer, GPT-3, GPT-4 Domains: MedTech, E-Commerce, HRM, AD-tech ✅ Computer Vision (CV): ● Image Classification ● Object Detection (YoLo) ● Instance segmentation / Semantic Segmentation (Mask R-CNN) ● Optical Character Recognition (OCR) Frameworks: PyTorch, TensorFlow, Keras, DarkNet, Detectron, Detectron2, Fast.ai Annotation platforms: CVAT, Clarifai Domains: Medical Imaging, CCTV (surveillance), NFT, LegalTech (document analysis) ✅ Full-Stack Development: ● Backend (FastAPI, Flask, Django, django-rest-framework, Node.js, JavaScript, PHP, Yii Framework) ● Frontend (Vue.js, React.js) ● WordPress ● CI/CD (Docker, docker-compose, Kubernetes, k8s, Ansible, Terraform) ● Databases (PostgreSQL, MySql, MongoDB, OracleDB, ArangoDB, ClickHouse, GraphDB) ● AMQ (Celery, RabbitMQ) Technical skills: Python, Javascript, Go, Java, Spring Boot, Gradle, Node.js, Angular, Tensorflow, Keras, NumPy, Serverless Frameworks, Docker, Terraform, Ansible, Kubernetes, Jenkins, Spinnaker, GitOps, DataOps, AWS. GCP, Azure, JAMstack, GraphQL, MEAN Stack, React, Redux, ES6, Express, MongoDB, Redis, Linux, Etcd, Consul, Kinesis, Redshift, DynamoDB, Spark, Hadoop, Kafka, PostgreSQL, MySQL, ELK, Git, Flask, and Django. Thanks for your consideration! "Alexander was excellent. He managed expectations well and overperformed on the work. Communications were excellent. He saved us 100s of hours of work by automating our processes. He's more expensive than many people on Upwork, but appears to be exceptionally good an reliable." - Tom Mather

I am a 𝗣𝗵.𝗗. 𝗶𝗻 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 and the founder of a cutting-edge startup specializing in AI and ML solutions. I offer a unique blend of academic expertise and entrepreneurial spirit. 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: ✔ 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 & 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 (𝗟𝗟𝗠𝘀): Deep experience with GPT-4, GPT-3.5, ChatGPT, Whisper, BERT, and more. ✔ 𝗡𝗲𝘂𝗿𝗮𝗹 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀 & 𝗠𝗟 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀: Proficient in LSTM, RNN, CNN, Random Forest, Learning to Rank, Regression, and other advanced algorithms. ✔ 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲: Comprehensive skills in data analysis, modeling, and implementation. 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗦𝘁𝗮𝗰𝗸: ✅ 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀: Python (full scientific stack), R ✅ 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: TensorFlow, PyTorch, Keras ✅ 𝗧𝗼𝗼𝗹𝘀: NLTK, Docker 𝗪𝗵𝗮𝘁 𝗜 𝗢𝗳𝗳𝗲𝗿: ➞ Proven track record in building and scaling SaaS products. ➞ Expertise in translating complex AI and ML concepts into real-world, impactful solutions. ➞ A passion for pushing the boundaries of AI and ML to deliver innovative results. Let’s Collaborate: Transform your AI and ML challenges into groundbreaking solutions!

I'm Mostafa, an AI engineer and data analyst with a passion for leveraging technology to solve real-world problems. Here's a bit about what I bring to the table: Strengths and Skills: Proficient in Python, TensorFlow, PyTorch, and Scikit-Learn. Experienced in developing AI models for language translation and speech recognition. Strong analytical and problem-solving abilities. Skilled in data preprocessing, feature engineering, and model evaluation. Highlighted Projects and Accomplishments: Real-time Speech Feedback App: Developed an app using Facebook's XSLR Model for real-time feedback and interactive speech games for children with speech difficulties, achieving high accuracy in Arabic language Automatic Speech Recognition. OCR Tool for Egyptian IDs: Created an OCR tool to extract data from Egyptian IDs, demonstrating my ability to handle complex language data tasks. AI Integration for Chatbots: Built and deployed AI models for chatbots, improving customer interactions and automating responses. With my technical expertise and a friendly, problem-solving approach, I'm here to help you tackle your AI and data challenges.

𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 𝐘𝐨𝐮𝐫 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐰𝐢𝐭𝐡 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐑𝐞𝐚𝐝𝐲 𝐀𝐈 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 | 𝟓𝟎+ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 I am an AI/ML engineer specializing in end-to-end artificial intelligence development — from concept to deployed, scalable systems that solve real business problems. With 8+ years building machine learning, deep learning, and generative AI solutions for global clients (including Huawei and Turing), I deliver reliable, production-grade systems — not just prototypes. 𝐖𝐡𝐚𝐭 𝐒𝐞𝐭𝐬 𝐌𝐞 𝐀𝐩𝐚𝐫𝐭: ✓ Full-stack AI delivery: requirements → architecture → deployment → maintenance ✓ Battle-tested across 50+ international projects ✓ Focus on business impact, not just technical complexity ✓ Clear communication and rapid iteration cycles 𝐂𝐨𝐫𝐞 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐂𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬: Computer Vision & Image Processing: Object detection | Image classification | ANPR systems | Face recognition | Video analytics | Image segmentation | OCR | Real-time tracking Natural Language Processing & LLMs: Chatbot development | RAG systems | LLM fine-tuning | Text generation | Sentiment analysis | Document summarization | Named entity recognition | GPT/Claude integration Audio & Speech Technologies: Automatic speech recognition (ASR) | Text-to-speech (TTS) | Speaker identification | Audio classification | Voice cloning | Noise reduction 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤:Python | TensorFlow | PyTorch | Keras | Scikit-learn | Hugging Face | LangChain | OpenAI API | FastAPI | Flask | Docker | AWS | Azure 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐲 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡:I take full ownership — understanding your use case, recommending the right approach, building the solution, and ensuring it works reliably in production. You get working software, comprehensive documentation, and post-deployment support. 𝐈𝐝𝐞𝐚𝐥 𝐅𝐨𝐫: Custom AI model development and training ML pipeline design and automation API development and third-party integration Proof-of-concept to production scaling Legacy system modernization with AI Let's discuss how AI can create measurable value for your business. Message me with your project details, and I'll respond with relevant examples and a clear path forward.

Data science Expert/Machine Learning/Deep Learning/NLP/COMPUTER VISION. --5+ Years of Professional Experience in Machine Learning -- Specialized in Generative AI, Image Generation, and Speech Generation AI & Generative Model Specialist | 5+ Years of Experience in Building Intelligent Solutions I am an AI specialist with over 5 years of hands‑on experience in machine learning, deep learning, and generative AI, bringing a solid research background and real‑world expertise to deliver cutting‑edge, production‑ready solutions. My work focuses on transforming complex ideas into intelligent, scalable systems that drive real business value. What I Bring to the Table Generative AI Mastery: Advanced expertise in GANs, VAEs, diffusion models for image, video, and speech generation. --LLMs & Multimodal AI: Skilled in designing, fine‑tuning, and integrating large language models with multimodal capabilities (text, image, and speech). --End‑to‑End ML/DL Development: From architecture design and model training to deployment and continuous optimization across platforms. --Diverse AI Applications: Delivered solutions for text‑to‑image, image‑to‑image, speech‑to‑text, text‑to‑speech, and voice cloning, along with content generation, image captioning, visual understanding, and speech synthesis. --Deployment Expertise: Optimizing AI models for cloud, mobile, and edge devices using PyTorch, TensorFlow, and NVIDIA frameworks for speed and efficiency. --Research & Innovation Published research in Reinforcement Learning at ICML (“Inverse Constrained Reinforcement Learning”) with applications in human‑in‑the‑loop generative model improvement. --Expertise in Reinforcement Learning from Human Feedback (RLHF)—a powerful technique used in building next‑gen LLMs and generative models. --Technical Toolbox --Core Areas: Generative AI, Computer Vision, NLP, Speech & Audio Processing, Multimodal AI, OCR, Large Language Models, Big Data Analytics --Frameworks & Libraries: TensorFlow, PyTorch, Hugging Face, Keras, OpenAI, CoreML --Tools & Platforms: FastAPI, Flask, CUDA, OpenCV, TFLite --DevOps & Cloud: AWS, GCP, Kubernetes, Docker, GitHub, GitLab Looking for an AI partner who can design, build, and deploy innovative solutions? Let’s bring your vision to life — whether it’s AI‑powered content creation, smart automation, or custom multimodal solutions, I can deliver results that exceed expectation Thank you for taking the time to review my profile.. I am very passionate about being a competent and contributing team player. I look forward to answering your questions and opportunities. Regards. Maryam khan

I am an expert AI engineer who has: - Delivered 30+ Scalable SaaS products - Achieved 100% JSS & Top Rated Plus (3% Globally) - 2000+ Development Hours I am a Sr AI engineer and spent the last 10 years helping startups and enterprises move beyond buzzwords into real outcomes, launching AI assistants that save doctors 6+ hours a week, scaling fintech systems that cut fraud rates by 75%, and building agritech platforms used on 20M+ acres. My goal is simple: cut through the hype, design practical AI solutions that actually work, and deliver them on time, on budget, and with zero surprises. 𝐇𝐞𝐫𝐞’𝐬 𝐰𝐡𝐚𝐭 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐞𝐱𝐩𝐞𝐜𝐭 𝐟𝐫𝐨𝐦 𝐦𝐞: Zero surprises → Every milestone, deliverable, and cost is defined upfront. On-time, on-budget delivery → 90%+ track record of delivering exactly what I scope. Fast response times → I reply within 30 minutes during working hours. End-to-end ownership → From concept to deployment, I handle the full lifecycle. Business-first approach → I’ll challenge you with data-driven insights to keep your product on track. 𝐖𝐡𝐚𝐭 𝐰𝐞 𝐜𝐚𝐧 𝐛𝐮𝐢𝐥𝐝 𝐭𝐨𝐠𝐞𝐭𝐡𝐞𝐫: ✅ AI assistants, chatbots, and voice engines tailored to your workflows ✅ Full-stack web & mobile apps (MVPs or enterprise-grade solutions) ✅ Advanced RAG systems powered by your private data ✅ Scalable cloud deployments (AWS, GCP, Azure, Kubernetes, Docker) ✅ Automation pipelines (ETL, workflow orchestration, API integrations) ✅ Analytics dashboards, investor decks, and data-driven product roadmaps 𝐇𝐞𝐫𝐞 𝐚𝐫𝐞 𝐚 𝐟𝐞𝐰 𝐨𝐟 𝐦𝐲 𝐟𝐚𝐯𝐨𝐫𝐢𝐭𝐞 𝐥𝐢𝐧𝐞𝐬 𝐟𝐫𝐨𝐦 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐈’𝐯𝐞 𝐰𝐨𝐫𝐤𝐞𝐝 𝐰𝐢𝐭𝐡: “Not my first project with Ali Akber and definitely not my last. He always delivers exactly what’s needed and goes the extra mile to get it right.” ⭐️⭐️⭐️⭐️⭐️ – Eric Armas, USA “Simply put, one of the best engineers I’ve ever worked with.” ⭐️⭐️⭐️⭐️⭐️ – Seongbuk-gu, South Korea "Ali and his team are outstanding. They have done a meticulous job into doing the most complex and technical onset of works for Gigafaze" ⭐️⭐️⭐️⭐️⭐️ – Max, CEO of Gigafaze, USA "Worked quickly and according to scope. When was not what i expected, it was quickly rectified" ⭐️⭐️⭐️⭐️⭐️ – Bin Zheng, CEO of AI Startup 𝗖𝗹𝗶𝗲𝗻𝘁 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 ✔️𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 Time by DRH → Cut clinical note-taking time by 60%, saving doctors 5–7 hrs/week. Care by DRH → HIPAA Q&A assistant reducing patient follow-ups by 40%. ✔️𝐈𝐝𝐞𝐧𝐭𝐢𝐭𝐲 & 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐯𝐞𝐫𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 Facia AI → Real-time biometric ID verification, cutting fraud by 75% across 100k+ users. AssureDocs → Automated immigration document checks, saving 500+ staff hours/month. ✔️ 𝐅𝐢𝐧𝐭𝐞𝐜𝐡 FinSurgents → Fraud detection on 50M+ accounts, boosting risk accuracy by 35%. ✔️𝐓𝐫𝐚𝐯𝐞𝐥 / 𝐄𝐝𝐓𝐞𝐜𝐡 / 𝐋𝐨𝐠𝐢𝐬𝐭𝐢𝐜𝐬 MindTrip AI → 90% accurate travel assistant, reducing support load. Tadbir Academy → Serving 10k+ students, lifted test scores by 45%. GH Logistics → AI dashboards cut delays by 25%, improve fleet efficiency. 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 & 𝗦𝗸𝗶𝗹𝗹𝘀: 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 & 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: Python, R, JavaScript, TypeScript, Java, C++, C#, Swift, Kotlin, Django, FastAPI, Flask, Node.js, Express.js, React, Next.js, Angular, React Native, Streamlit 𝐀𝐈 & 𝐋𝐋𝐌 𝐓𝐨𝐨𝐥𝐬: OpenAI, Anthropic, Mistral, LLaMA 3, Hugging Face Transformers, LangChain, LangGraph, LlamaIndex, MCP, ElevenLabs, AutoGPT, Autogen, RAG Pipelines, Agentic AI, Prompt Engineering, Vector Databases 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐂𝐕/𝐍𝐋𝐏: PyTorch, TensorFlow, Keras, Scikit-learn, OpenCV, NLTK, SpaCy, NeuralProphet, LoRA/PEFT, CNNs, GANs, LSTMs, Bayesian Models, OCR, Deepfake Detection, Image Segmentation, STT & TTS 𝐃𝐚𝐭𝐚 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬: PostgreSQL, MySQL, SQL Server, MongoDB, Redis, Elasticsearch, BigQuery, Databricks, Pandas, Numpy, Geopandas, Rasterio, ETL Pipelines, Airflow, Tableau, Power BI 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 & 𝐀𝐏𝐈𝐬: REST & GraphQL APIs, OAuth2, Firebase, Stripe, PayPal, HubSpot, Salesforce, ERPs, Slack, MS Teams, Zapier, Make, Webhooks 𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: AWS (Lambda, SageMaker, API Gateway), Azure, GCP, Docker, Kubernetes, Terraform, CI/CD, Serverless Architectures, Microservices 𝐃𝐞𝐯𝐎𝐩𝐬 & 𝐌𝐋𝐎𝐩𝐬: Model Training & Deployment, Experiment Tracking, Dataset Versioning, Error Logging, Monitoring, Automated Testing, Workflow Orchestration Let’s connect to transform your ideas into 𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝, 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬. I focus on real business impact with clear communication and on-time delivery. Reach out and let’s get started! 🤝

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.