Hi, I'm Zeeshan 👋 Give me something to build and i'll build it so it works for you 24/7. Thats my promise! If you shoot me a invitation or message ill send you a personalised loom video back on how i may be able to help you!... I’m a Computer Vision & Document AI Engineer with more than half a decade of experience building production-grade image and video intelligence systems not demos, not notebooks. My core expertise is image processing and computer vision, especially where data is messy, multilingual, scanned, or operationally constrained. What I Actually Build: 1. OCR & Document Image Processing I design end-to-end OCR pipelines for real-world documents: Urdu & English OCR (printed + complex layouts) Preprocessing: binarization, skew correction, denoising, layout analysis Text detection & bounding-box post-processing Tesseract, custom deep-learning OCR, Pix2Text Searchable archives using FAISS & vector indexing 2. Computer Vision for Images & Video I build vision systems that generate usable metadata: Object detection, tracking, segmentation (YOLO-based pipelines) Video-to-metadata systems for analytics and downstream automation Image classification and visual feature extraction High-performance OpenCV + PyTorch pipelines 3. Vision-Driven AI Applications When needed, I wrap CV systems into clean, usable products: Flask / FastAPI backends for vision services OCR-powered document portals Image & video search using embeddings RAG pipelines only where they add real value I’m a strong fit if you need image processing, OCR, or computer vision systems that must actually work in production especially for scanned documents, archives, or video data. EXPERTISE: AI Automation | Computer Vision | Sports Analysis | Image Processing | OCR | Mediapipe | Landmarks detection | Object Detection | Object Classification | Doucment Automation | Deep Learning | RAG | Tensorflow | PyTorch | Sign Language Production | GANs | Diffusion Models | Vision Transformers

I am an Electrical Engineer. I completed my undergraduate with a 100 percent merit scholarship. With commendable academic performance, I have hands-on experience working on projects in automation, deep learning, and image processing domains. Finally, I have experience managing events and opportunities for women empowerment through the Women in Tech (WiT) Karachi chapter of Microsoft Student Partner (MSP) and Women in Science and Engineering (WiSE) club at Habib University.

🚀 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

Senior Data Scientist With 6 years of proven expertise in Machine Learning, Deep Learning, and building end-to-end machine learning solutions. I have a strong track record in delivering impactful data-driven insights and scalable models. Driven by my passion for problem-solving and innovation, I aim to leverage my knowledge, skills, and experience to take on new challenges, continuously advancing my abilities and contributing to the success of the team.

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 🟢 Forward Deployed Engineer(FDE) 🟢 Amazon Web Service 🟢 Claude Code/Codex 🟢 Reinforcement Learning(GRPO,PPO) 🟢 Generative AI 🟢 Computer Vision 🟢 AWS Bedrock 🟢 Object Detection (YOLO, Faster R-CNN, RF-DETR, Dino V1/V2) 🟢 Face Recognition & Tracking 🟢 Natural Language Processing 🟢 OpenClaw/Hermes/KimiClaw 🟢 Retrieval Augmented Generation (RAG) 🟢 Vector Database 🟢 Langgraph 🟢 PyTorch 🟢 OpenCV 🟢 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. 🚀"

🏆 AWS Certified Generative AI Developer - Professional 🏆 AWS Certified Machine Learning – Specialty 🏆 AWS Certified Data Analytics – Specialty 🏆 Google Cloud Professional Machine Learning Engineer 🏆 Google Cloud Professional Cloud Architect I help businesses design, build, and deploy production-ready Generative AI applications powered by LLMs, AI Agents, RAG pipelines, Voice AI, and workflow automation. With 8+ years of experience in Machine Learning, NLP, Computer Vision, and Cloud AI, I specialize in transforming AI prototypes into scalable, enterprise-grade solutions running on AWS, GCP, and Kubernetes. What I Build ✅ AI Agents & Agentic Workflows * Single-Agent & Multi-Agent Systems * LangGraph Agent Development * MCP (Model Context Protocol) Integrations * Tool Calling & Function Calling Agents * Autonomous Research & Task Execution Agents * AI Workflow Automation ✅ RAG & Enterprise Search * Retrieval-Augmented Generation (RAG) * Enterprise Knowledge Assistants * Internal Documentation Chatbots * PDF, SharePoint, Confluence & Website Search * Hybrid Search (Vector + Keyword) * Agentic RAG Architectures ✅ Conversational AI & Voice AI * AI Chatbots * Customer Support Assistants * AI Voice Agents * Call Center Automation * Real-Time Speech-to-Speech Applications * Voice Ordering & Appointment Booking Systems GenAI Technologies 📍 LLMs OpenAI GPT-4o, GPT-5, Claude, Gemini, Llama, Mistral, Gemma, AWS Bedrock 📍 Agent Frameworks LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, LangSmith, LangFuse 📍 Vector Databases Pinecone, Qdrant, Weaviate, Milvus, ChromaDB, pgvector, Elasticsearch, Redis 📍 Voice AI Vapi, ElevenLabs, Deepgram, AssemblyAI, Whisper 📍 Prompt Engineering & Optimization DSPy, TextGrad, Structured Outputs, Guardrails 📍 LLM Deployment vLLM, Hugging Face TGI, TensorRT-LLM, Ray Serve, TorchServe Machine Learning & MLOps 📍 TensorFlow 📍 PyTorch 📍 Hugging Face 📍 Scikit-Learn 📍 Spark ML 📍 Forecasting & Predictive Analytics 📍 Computer Vision Solutions Cloud & Infrastructure AWS: Bedrock, SageMaker, Lambda, ECS, EKS, Textract, Comprehend, Rekognition, Transcribe, Polly, Forecast, Personalize Google Cloud: Vertex AI, Agent Builder, Gemini, Document AI, Dialogflow CX, GKE, Cloud Run, Cloud Functions Azure: Azure OpenAI, Azure ML Infrastructure: Kubernetes, Docker, CI/CD, GitHub Actions, Terraform Industries Served ✔ Retail & eCommerce ✔ Manufacturing ✔ Supply Chain & Logistics ✔ Automotive ✔ Healthcare ✔ Financial Services ✔ Customer Support Operations Whether you need an AI Agent, RAG chatbot, Voice AI solution, LLM-powered application, or a complete GenAI platform deployed on AWS/GCP, I can help take your idea from concept to production.

I love building solution for computer vision problems, implementing machine learning methods, developing efficient program to solve complex tasks, and of course, making things in the world of electronics. I am feeling extremely passionate on details, with senses of art . For more than 10 years, computer programming has already been in my "list of routine activity". I am currently working to realize commercial-based smart vision system.

Most AI never survives contact with production. Agents loop, RAG retrieves noise, vision models collapse on real data. I build end-to-end AI systems from the first architecture decision to the final deployment. 🛠️ What I Do I specialise in one thing most AI developers overlook: building the right architecture around the model. Anyone can call an API. What I do is design the system that makes AI reliable the layer that decides what gets retrieved, how the agent reasons, when to escalate, and how to recover when something goes wrong. That's where most AI projects succeed or fail, and that's where I focus. 💼 Experience My journey has taken me across healthcare, government, retail, and real estate working on systems where accuracy isn't optional and failure has real consequences. I've led teams, managed production deployments, and worked directly with clients to translate messy business problems into AI systems that actually deliver. I believe in understanding the problem deeply before proposing a solution, because most AI projects don't fail at the model they fail at the architecture. 🔑 Value Proposition What sets my work apart is that I build for production, not for only demos. Every system I deliver is designed to integrate cleanly into your infrastructure, handle edge cases gracefully, and scale without falling apart. I can handled from a poc to production AI systems. I stay invested in making sure the solution works in your environment, for your users, against your real data. 🌟 Why Choose Me 💡 Architecture first: I design systems that are reliable before they are impressive ⏱️ Delivery: Production-ready code, clean documentation, on time 🎯 Outcome-driven: I measure success by business results, not model benchmarks 🔗 Full ownership: From architecture to deployment, I handle the complete system Whether you're building something new or fixing something broken, get in touch and let's work out exactly what you need.

Machine Learning and Computer Vision Engineer specializing in YOLO object detection, custom model training, deep learning architectures, and NLP systems using Python, TensorFlow, PyTorch, and OpenCV. I help businesses build and deploy production-ready AI solutions including real-time object detection, image classification, OCR systems, AI automation, and end-to-end ML pipelines. My expertise includes: • Custom dataset preparation and model training • YOLO-based object detection and tracking • Deep learning model optimization • NLP applications and text processing systems • Computer vision solutions for real-world deployment I work with startups, researchers, and businesses to design, train, and deploy AI models for real-world applications. I focus on building scalable, accurate, and efficient AI systems ready for integration into web, mobile, or enterprise environments. If you need a reliable ML engineer to turn your AI idea into a working solution, let’s discuss your project.

I’m a passionate Artificial Intelligence and Machine Learning Engineer/Developer with hands-on experience building real-world solutions in Python, Natural Language Processing (NLP), and Computer Vision. I’ve delivered diverse AI projects - both independently and as part of cross-functional teams - developing scalable, production-ready systems that create real impact. NLP & Deep Learning Expertise: Fine-tuning transformers, chatbot development, text generation, sentiment analysis, and end-to-end language model workflows using PyTorch, TensorFlow, and LangChain. Computer Vision & AI App Development: Image recognition, object detection, OCR, and advanced image processing pipelines for robust AI app development and automation tools. AI Agent Development & API Integration: Designing intelligent AI agents, integrating model-driven logic with backend systems, and building clean, efficient API layers using Python and JavaScript to support real-time and asynchronous AI operations. Data Science & Cloud: Strong experience with data preprocessing, experimentation, and evaluation, as well as deploying AI solutions on Amazon Web Services (AWS). Tech Stack: Python, JavaScript, PyTorch, TensorFlow, Hugging Face Transformers, LangChain, OpenCV, FastAPI, AWS, and more. I’m eager to take on new challenges in AI and help transform complex problems into powerful, scalable solutions. Let’s build the future of AI together!