Top Rated AI Developer | 100% Job Success Score | 5 Star Ratings | Google Vertex AI certified - Let's build yours I'm an AI developer specialising in Agentic AI systems, LLM-powered applications, computer vision, and intelligent automation. From production-grade ML models to custom AI chatbots and autonomous agent workflows, I build AI that actually works in the real world, not just in notebooks. What I build: → Agentic AI & AI Agents : autonomous multi-step workflows using LangChain, AutoGen, n8n → LLM Applications : GPT-4, Claude, Gemini, Llama integration into web & mobile products → RAG Systems : intelligent knowledge bases & document Q&A with Pinecone / Weaviate → AI Chatbots : trained on your data, voice-enabled, live 24/7 (Flowise, custom) → Computer Vision : object detection (YOLO), image recognition, OCR (PyTorch, OpenCV) → ML Models : Google Vertex AI, TensorFlow, scikit-learn for prediction & classification → AI Automation : n8n, Python pipelines, workflow automation for business processes → Generative AI : 3D prompt engineering, image generation, AI avatar & lip-sync systems Core stack: Python · LangChain · OpenAI API · Google Vertex AI · Flowise · PyTorch · TensorFlow · YOLO · n8n · Stable Diffusion · Midjourney · Django · Flask Let's build something intelligent, message me or book a $40 consultation call.

Computer Vision Engineer | Generative AI | OCR | Machine Learning | Claude Expert I’m a AI/ML Engineer specializing in Machine Learning, Generative AI, Computer Vision (CV), Natural Language Processing (NLP) , AI Agents, LLMs ,GPTs and RAG development. With hands-on expertise in YOLO, GPTs, RAGs, and Chatbot development, I help businesses build intelligent, data-driven systems that automate workflows and deliver real-world impact. Whether you need object detection, natural language understanding, or a custom GPT-powered assistant, I create scalable AI solutions tailored to your project’s goals. ✅AI Engineer Machine Learning Expert & Data Scientist with hands-on expertise in Computer Vision, YOLO, NLP, RAGs, GPTs, and Chatbots. I create AI solutions that automate processes, analyze data, and improve decision-making. Skilled in building efficient, real-world machine learning and generative AI systems. ✅Computer Vision Engineer & YOLO I specialize in Computer Vision solutions Image Processing ,Object Detection, Object Tracking ,Object recognition and Video Processing using YOLO, OpenCV, and PyTorch to detect, classify, and track real-world objects with high accuracy. From image recognition and object detection to facial analysis and video analytics, I build models that deliver actionable insights. I develop YOLO-based object detection models for real-time image and video analysis using YOLOv5, YOLOv7, and YOLOv8. ✅Generative AI, LLMs & AI Agents I develop scalable AI systems using GPTs, RAG pipelines, and AI agents that automate real business workflows. This includes: -Custom GPT-powered assistants -Retrieval-Augmented Generation (RAG) systems -AI automation pipelines -Multi-step AI agent workflows I focus on building reliable systems with structured outputs and real business utility. ✅NLP (Natural Language Processing) I build NLP systems for: -Text analysis and summarization -Question answering systems -Chatbots and document assistants My solutions turn unstructured data into actionable insights. ✅RAGs (Retrieval-Augmented Generation) I build RAG pipelines that combine retrieval and generation models to deliver context-aware, accurate AI responses. By integrating vector databases, embeddings, and GPT models, I enable intelligent systems to access and use real-time knowledge. My RAG-based AI solutions power advanced chatbots, document assistants, and enterprise knowledge platforms. ✅GPTs (Generative Pre-trained Transformers) I develop and fine-tune GPT-based models to create intelligent assistants, automate workflows, and generate human-like responses. Using OpenAI, LangChain, and custom datasets, I craft domain-specific GPTs that enhance productivity and user experience. ✅Chatbot Developer I design and develop AI-powered chatbots using GPTs, LangChain, and RAGs to deliver natural, human-like conversations. My chatbots handle customer support, knowledge retrieval, and task automation with high accuracy and contextual understanding. Whether you need a custom GPT assistant or a business-integrated chatbot, I build scalable solutions tailored to your needs. 🛠️Skills 🟢 Artificial Intelligence 🟢 Machine Learning 🟢 Data Science 🟢 Deep Learning 🟢 Neural Network 🟢 Generative AI 🟢 Computer Vision 🟢 Image Processing 🟢 Object Detection (YOLO, Faster R-CNN, SSD) 🟢 Face Recognition & Tracking 🟢 Natural Language Processing 🟢 LLM Prompt Engineering 🟢 Retrieval Augmented Generation (RAG) 🟢 Vector Database 🟢 TensorFlow 🟢 PyTorch 🟢 Keras 🟢 OpenAI API 🟢 Python 🟢 AI Agent Development 🟢 AI App Development 🟢 AI Chatbot Development 🟢 MySQL 🎯Why Work With Me: As a Data Scientist and AI Engineer, I specialize in Computer Vision, YOLO, NLP, RAGs, GPTs, and Chatbots. I build end-to-end AI solutions that transform data into automation, insights, and real-world impact. Clients value my focus on accuracy, scalability, and fast delivery using cutting-edge Generative AI tools.If you need a reliable expert to bring your AI vision to life let’s connect and make it happen. ✨ "Let’s turn your ideas into powerful AI-driven solutions. Share your project details, and I’ll provide a clear plan to get started right away. 🚀"

With expertise in AI and cloud engineering, and backed by a Master’s in Systems Engineering plus over 7 years of experience, I excel at building and deploying innovative solutions. Certified by IBM in Machine Learning, Deep Learning, Data Science, and Data Analytics, as well as Microsoft Security, I tackle complex AI challenges head-on. My cloud engineering experience spans AWS and Azure, with a proven track record in architecting, administering, and optimizing cloud resources. Let’s leverage cutting-edge technology to build something remarkable together!

⭐ Top Rated • 100% Job Success • Founder of Alphalense • Currently building production AI at Micro1 and Pyfecta • DeepLearning.AI Certified in LangGraph AI systems don't fail at the model layer. They fail in production broken retrieval, hallucinations, scaling collapse, latency spikes, fragile workflows. I'm a Full Stack AI Engineer specializing in Agentic AI. I build production-grade agentic systems that survive real users, real data, and real edge cases. What I Do I am an AI Agents Developer specializing in AI SaaS, Chatbot Development, Machine Learning, and AI Consulting. My core areas of work include: 1. AI Chatbot Development — Intelligent bots for customer support, lead qualification, and conversational automation. 2. Machine Learning — Models that drive business insights, predictions, and process automation. 3. AI Consulting — Guiding startups and enterprises through AI integration with a business-first, ROI-focused approach. 4. AI Software and App Development — Scalable MVPs and production-ready platforms built on the latest AI technologies. AI Software Development 1. Enterprise AI Co-Pilots — Knowledge bases that transform business data into actionable insights 2. Document AI Platforms — OCR and NLP for intelligent document processing 3. Legal AI Tools — Automated drafting, case analysis, and compliance tracking 4. E-commerce AI Assistants — Order tracking, customer support, and analytics automation AI Voice Agents and Automation 1. Outbound Sales SDRs (VAPI, Retell AI, Bland AI, 11Labs) 2. Inbound Receptionist Bots — Appointment scheduling and lead qualification 3. CRM Integration — HubSpot, Salesforce, GHL automation workflows 4. Marketing Agency AI — Content review, lead scoring, and campaign optimization AI Business Process Automation Workflow Automation — Make dot com, Zapier, N8N integrations 1. Customer Support Bots — RAG-powered, with sentiment analysis and knowledge base training 2. AI Agents for GTM — Lead conversion, sales forecasting, and contract management My Proven Track Record 1. Microsoft for Startups Approved — DocuSensa, my Document AI Platform 2. 10+ Live SaaS Products currently serving customers across 15+ countries 3. 15+ Voice AI Agents handling more than 30,000 calls per month with deep integrations into EMRs, booking platforms, and CRMs Our Technical Stack 1. AI/ML — OpenAI GPT-4, Claude, Llama, LangChain, RAG, Qdrant, Pinecone 2. Development — Python (Django/FastAPI), React/Next js, PostgreSQL, AWS, Azure 3. Voice AI — VAPI, Retell AI, Bland AI, 11Labs, Twilio Studio 4. Automation — Make, Zapier, Google Apps Script, Power Automate 5. Integrations — HubSpot, Salesforce, Shopify, Slack, Gmail APIs Whom I Work With ➜ Startups needing MVP to market-ready AI platforms ➜ SMBs and agencies wanting AI workforce automation ➜ SaaS companies requiring AI feature integration ➜ Enterprises seeking custom AI solutions with a clear ROI focus What You Get ➜ Fast delivery with working prototypes and clear milestones ➜ Business-first approach focused on user adoption and revenue impact ➜ Transparent communication with weekly updates ➜ Post-launch support and maintenance included via monthly retainer My Services in Detail AI Integration and Automation with Existing Systems ➜ Automate workflows using Make com, Zapier, and custom AI model hooks ➜ Integrate with Voice AI platforms like VAPI, Air AI, and Bland AI ➜ Connect AI into CRMs such as Go High Level, HubSpot, and Salesforce ➜ Build AI-driven tools that plug into Slack, Google Chat, Gmail, and Calendar AI Software Development for Retail and E-commerce ➜ Create intelligent assistants and automation for Shopify stores ➜ Integrate AI into Magento and other e-commerce platforms for order tracking, customer support, and analytics Custom Software and AI Product Development ➜ Design and build AI-powered SaaS products from the ground up — MVPs to production-scale apps ➜ Build AI applications with advanced document parsing capabilities AI-Powered Customer Support Chatbots ➜ Build RAG-powered customer support bots trained on historical chat data ➜ Bots perform sentiment analysis and generate accurate responses from your knowledge base By choosing to work with me, you gain a partner focused on rapid prototyping, transparent communication, and post-launch success — with maintenance included. LangChain, OpenAI API, VAPI, RAG, Python, FastAPI, AI Agent Development

7+ Years of Experience | Top Rated Plus Most businesses don't struggle because of a lack of ideas—they struggle because their systems can't keep up. Slow development cycles, brittle architectures, disconnected tools, and the inability to utilize AI effectively often result in lost opportunities, operational inefficiencies, and increased costs. I help businesses build scalable backend systems and AI-powered applications that are designed for long-term growth. Over the past 7+ years, I have worked with startups, SaaS companies, agencies, and enterprise teams to design, develop, and maintain production-grade applications using Python and Django. As AI adoption accelerated, I expanded my expertise into Generative AI and LLM-powered systems, helping companies integrate intelligent capabilities into existing products and build AI-native applications from the ground up. I bring a unique combination of strong software engineering fundamentals and deep understanding of modern AI technologies. I can help you with: ================= • Building robust SaaS applications using Django and Django REST Framework • Designing scalable APIs using FastAPI and modern backend architectures • Developing secure, maintainable, and high-performance Python applications • Architecting multi-tenant SaaS platforms and enterprise systems • Database design, optimization, and performance tuning • Authentication, authorization, RBAC, JWT, OAuth, and SSO implementations • Background processing using Celery, Redis, and asynchronous task execution • Third-party integrations including payment gateways, CRMs, ERPs, and external services • Cloud deployment, CI/CD pipelines, monitoring, and infrastructure automation In addition to backend engineering, I specialize in integrating AI capabilities into real-world products. My AI expertise includes: ===================== • Building LLM-powered applications using OpenAI, Claude, Gemini, Llama, DeepSeek, Mistral, and Hugging Face • Designing Retrieval-Augmented Generation (RAG) systems with vector databases and semantic search • Developing AI copilots and domain-specific assistants • Building multi-agent systems using LangGraph, CrewAI, OpenAI Agents SDK, AutoGen, and PydanticAI • Implementing tool calling, structured outputs, and agent orchestration workflows • Developing document intelligence solutions involving OCR, extraction, classification, and validation • Creating conversational AI solutions for customer support, internal operations, and workflow automation • Integrating AI into existing SaaS platforms without disrupting current business processes Technology Stack =========== Backend & APIs Python, Django, Django REST Framework, FastAPI, Flask, Node.js AI & LLMs OpenAI, Claude, Gemini, Llama, DeepSeek, Mistral, Hugging Face, LangChain, LangGraph, CrewAI, OpenAI Agents SDK, AutoGen, PydanticAI, MCP RAG & Vector Databases Pinecone, Qdrant, Weaviate, Chroma, pgvector, Embeddings, Hybrid Search, Reranking Databases & Messaging PostgreSQL, MySQL, MongoDB, Redis, RabbitMQ Cloud & DevOps AWS, Docker, Kubernetes, GitHub Actions, CI/CD, Monitoring, Observability I focus on building solutions that are secure, scalable, maintainable, and production-ready. Whether it's a high-performance Django backend, an AI-powered SaaS platform, or an intelligent system powered by LLMs, my priority is delivering technology that creates measurable business value rather than experimental prototypes. If you're looking for an engineer who combines deep Python expertise with practical experience shipping AI systems into production, I'd be happy to help bring your vision to life.

🚀 Hello! I’m Abdelmalik, Quant Trader & Quantitative Researcher, building production-grade buy-side trading and pricing systems, from signal generation to live execution under real-market constraints. I design end-to-end quantitative engines that operate reliably with noisy or delayed data, microstructure effects, latency budgets, and strict forward-only decision rules. My work is desk-oriented: models are judged on robustness, execution quality, regime stability, and deployability. I work with clear milestones, written acceptance criteria, reproducible deliverables, and transparent communication so that scope, validation results, and payment expectations are aligned before each project phase begins. 📈 Quant Trading, Research & Derivatives Systematic Trading & Execution. Live strategies with microstructure-aware gating: spread in basis points, aggressor ratio, upticks. Regime-adaptive logic across trend, volatility and liquidity. Risk-based sizing using ATR, staged exits and VWAP-aware liquidation. Broker OCO orders, circuit breakers and idempotent execution to prevent double fills. Deterministic replays and ghost A/B tests before production. 📊 Options & Exotic Pricing Pricing engines in C++ and Python using Black–Scholes, Heston, Dupire and Variance Gamma. Exotic structures including barriers and baskets. Numerical methods based on correlated and variance-reduced Monte Carlo, and PDEs using Crank–Nicolson with Rannacher smoothing. Volatility surfaces, smile reconstruction, robust proxy aggregation, walk-forward debiasing, affine scale correction and panel volatility guards. 📉 Validation & Results Strict walk-forward validation and multi-regime stress tests. R² between 0.83 and 0.92 on sector basket option pricers. RMSE below 1 basis point on barrier pricing grids. Sub-second C++ kernels with deterministic and replayable outputs. Stable pricing using 15-minute delayed options data. 🧠 Machine Learning Production Models built with Sklearn, XGBoost, PyTorch and TensorFlow. Probabilistic calibration using Platt scaling and isotonic regression, with Brier score and ECE monitoring. Drift detection using PSI, class-imbalance handling and robust cross-validation. GPU acceleration with CUDA and CuPy. Deployment via FastAPI and Streamlit. ⚙️ Quant Infrastructure High-performance C++17 cores using OpenMP, AVX and PyBind11, with parallel Monte Carlo and Cholesky correlation. Market data pipelines using Polygon with minute-level options and level 2 data. Production observability with Prometheus and Grafana SLOs, Redis-based event architecture, atomic snapshots and audit-safe logs. 🎓 Training: Columbia, Yale, Stanford, Wharton, NYIF 🌍 Availability: Remote worldwide or on-site Casablanca 🤝 Open to buy-side quant trading, systematic execution and advanced pricing or risk teams

Top 1% Expert-Vetted Freelancer. I have a PhD in Computer Science (AI & Machine Learning) and I am a physician. I build custom AI systems with proprietary and public data, including creation of novel datasets and state-of-the-art models. * After a 30-minute to 1-hour initial meeting, I'll craft a clearly written report outlining a unique AI strategy for your project. * For long-term engagements, I implement AI solutions end-to-end, including data collection, data cleaning, novel model design, model implementation and training in Python, and iteration on the modeling and data strategy to achieve excellent performance. * One of my specialties is creating custom models for proprietary datasets, including images, videos, audio recordings, and domain-specific data. Book a 30-minute consultation with me to get immediate answers about your AI project: - How can you leverage AI in your organization? - What kind of AI do you need to solve a particular problem? - Should you use a model like ChatGPT/Claude or do you need a custom model? - What modeling strategy should you use? - How should you collect and annotate data? - How much data will you need? - How should you measure performance? After a consultation I’ll craft a clearly-written report outlining an AI strategy for your project. Specialties: Healthcare AI: I am an expert in healthcare AI, with a unique background that blends clinical understanding from my MD, deep technical expertise from my AI PhD, and business experience. I have completed 100+ engagements across medical specialties including radiology, dermatology, cardiology, mental health, family medicine, surgery, dentistry, physical therapy, women’s health, pediatrics, nutrition, and neurology. I have created datasets and custom models for diverse forms of biomedical data including x-rays, CTs, MRIs, clinical photographs, patient videos, medical audio, medical notes, EHR data, insurance claims, omics data, and more. Computer Vision: I create custom AI models for 2D images, 3D images, and videos on proprietary datasets. I am excited about projects from multiple industries including healthcare, manufacturing, automotive, and agriculture. I have extensive experience with classification, object detection, segmentation, and keypoint detection, to identify and localize abnormalities or features of interest. I developed the first machine learning model in the world to predict multiple abnormalities simultaneously from a CT scan. For a dermatology practice, I built the first CV model to predict Fitzpatrick skin type, pigmentation, redness, and wrinkle severity (mean accuracy 85%)—now a core model at Kesty AI. Artificial Intelligence R&D: I have led multiple AI research projects across industry and academia. I have developed novel AI methods, including HiResCAM, a convolutional neural network explanation method with mathematical guarantees. I have published original research across multiple areas of AI, including computer vision, natural language processing, explainable AI, expert systems, and applied AI. My research papers have been cited over 1,000 times. My healthcare AI blog Glass Box has over 700,000 readers from 185 countries. Natural Language Processing (NLP): I have a deep understanding of large language models (LLMs) like Claude, Gemini, ChatGPT, and Llama. I have leveraged Transformers and other NLP techniques for numerous applications, including customized chatbots, medical note generation, and structured information extraction. Advising Entrepreneurs: Before focusing on AI consulting, I spent seven years as the founder of a health AI startup. I led my previous company from concept to deployed B2B SaaS product serving medical practices. Our AI history-taking assistant and AI scribe saved clinicians 2+ hours daily. I managed engineering teams of 5-10 (60+ contributors), secured two U.S. patents, and raised competitive grant funding. I enjoy working with entrepreneurs and discussing pitch decks, fundraising, customer discovery, designing an MVP, and evaluating the ROI of an AI product. If you’d like to talk with me about your AI project, please feel free to send me a message or book a consultation using the link on my profile.

I am a Senior Machine Learning Engineer with 7+ years of experience in research, model development, and cloud deployment. My work includes academic research and real-world AI systems, from designing deep learning models to deploying scalable ML pipelines on GCP, AWS, and Azure. Expertise • Research: Deep learning, computer vision, NLP, and generative AI • Development: Training and fine-tuning ML models using TensorFlow and PyTorch • Deployment: Building and scaling ML systems on GCP, AWS, and Azure with Docker, Kubernetes, and Terraform Certifications Google Cloud (2024) • Professional Machine Learning Engineer • Professional Data Engineer • Professional Cloud Architect Microsoft Azure (2021) • Azure Data Scientist Associate • Azure Fundamentals HashiCorp (2025) • Terraform Associate (003) Selected Projects • AI-Driven Document Extraction: Designed and deployed OCR pipelines using Gemini, Google Document AI, and DeepSeek (Vertex AI) to extract structured data from real estate conveyancing documents. • Reputation System API for Mindplex: Developed and deployed a reputation scoring API based on research in reputation systems, powering user trust and ranking on magazine.mindplex.ai. • Big Data Health Pipeline (GCP): Architected and orchestrated data ingestion and transformation pipelines using Dataflow, BigQuery, Cloud Run, and DBT. Integrated data from Microsoft SQL Server, CSV, Excel, and Azure Blob Storage into BigQuery. • Deep Learning Research and Deployment: Implemented and productionized deep learning models from research papers for diagnostic imaging and AI-assisted medical interpretation. Publications and Patents • Detection of Mitral and Tricuspid Regurgitation from B-mode DICOMs Using Artificial Intelligence (2024) • Reproduction of Full Echocardiographic Report Using Machine Learning from Large-scale Echocardiogram Database (2023) • Methods, Systems, Apparatuses, and Devices for Facilitating a Diagnosis of Pathologies Using a Machine Learning Model (2024), Patent • AI-Based Diagnosis of Aortic Stenosis in B-Mode Imagery: P3-16 (2024) I specialize in designing, building, and deploying production-grade AI systems with a strong foundation in both research and engineering. If you are looking for someone who can take an AI project from concept to deployment, I would be glad to collaborate.

My research has been accepted at CVPR'25 and ICCV'25 — the two most competitive computer vision conferences in the world. I now bring that same precision to client projects. I'm a Computer Vision PhD (Griffith University, Postdoc at University of Melbourne) with 7+ years turning hard visual problems into production systems. My work spans: Object Detection & Tracking — custom YOLO, DETR, and ByteTrack pipelines for real-time performance on edge and cloud Medical Image Analysis — MRI/CT segmentation, diagnostic AI, clinical-grade accuracy using PyTorch and MONAI Generative AI & ComfyUI — Stable Diffusion fine-tuning, ControlNet pipelines, custom ComfyUI node development 3D Vision — LiDAR point cloud processing, depth estimation, multi-view stereo, NeRF reconstruction Semantic Segmentation — autonomous vehicle, remote sensing, and industrial inspection systems Past clients describe me as: "a true expert with strong knowledge", "delivers excellent work, clear and professional", "highly recommended AI consultant". I work with scale-ups and product teams who need senior-level Computer Vision expertise — not just a model, but a system that performs. Available now. Let's discuss your project.

[ Last update: 3/May/2026 ] I'm a Geospatial Data Engineer with 8+ years of experience building scalable geospatial pipelines, AI models, and WebGIS applications. I specialize in turning raw geospatial data (satellite, UAV, vector) into automated, production-ready systems — from data ingestion to analysis, APIs, and visualization. I’ve worked across forestry, environmental monitoring, and custom client solutions, delivering tools that reduce manual work and enable real decision-making. What I do best: Remote Sensing & Geospatial Processing - End-to-end pipelines using Sentinel, Landsat, UAV imagery - Large-scale raster processing (GDAL, Rasterio, Numpy) - Change detection, NDVI workflows, land monitoring - Experience with STAC APIs and satellite data automation Data Engineering for Geospatial - Building ETL pipelines for spatial data (Python, Pandas, SQL) - PostgreSQL/PostGIS schema design and optimization - Automated workflows replacing manual GIS tasks - Handling large datasets efficiently (cloud + local processing) AI for Geospatial Applications - Semantic segmentation (land cover, deforestation, etc.) - Object detection (ships, wind turbines, infrastructure) - Custom computer vision models using PyTorch - Applied ML (Scikit-learn, OpenCV) WebGIS & Backend Development - FastAPI / Django backend development - Building REST APIs for geospatial systems - Interactive maps (Leaflet, MapLibre) - GeoServer and spatial services integration Cloud & Deployment - AWS (EC2, S3, Lambda) - Dockerized applications - Deploying scalable geospatial systems - Selected Experience - Built automated pipelines for satellite data processing and analysis - Developed WebGIS platforms for real-time geospatial visualization - Created AI models for environmental monitoring and object detection - Delivered custom ETL solutions integrating complex spatial datasets Why clients hire me? I don’t just “analyze maps” — I build complete geospatial systems. My focus is always: - Automation (less manual GIS work) - Scalability (ready for real-world data) - Clean, maintainable code If you need someone who can go from raw geospatial data → production system, let’s talk.