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 help startups, SaaS companies, and enterprise teams automate workflows, improve knowledge retrieval, and deploy production AI systems that deliver measurable business outcomes. I build production-grade AI agents, multi-agent systems, and RAG platforms that remain reliable in production long after deployment. Verified Upwork track record: 147 jobs delivered, 7,000+ hours, 100% Job Success, Top Rated, 5.0 across 133 reviews. — What I specialize in — Plenty of AI developers can wire up a chatbot. I focus on building AI systems that solve real business problems and hold up in production. • AI agents & multi-agent systems — orchestration, tool calling, LangGraph • Advanced RAG — hybrid search, GraphRAG, reranking, hallucination control, RAGAS evaluation • LLM applications & copilots, including MCP (Model Context Protocol) integrations • Fine-tuning (LoRA / QLoRA / PEFT) and inference optimization • A full ML / CV / NLP foundation underneath, so I solve the problem the way it actually needs solving — not just the way that fits one tool — Recent work — • HirePilot AI — an AI-native talent marketplace (SaaS) running the full hiring pipeline: candidate matching, resume parsing, technical assessments, interview management, and recruiter verification across dedicated candidate, employer, recruiter, and admin portals. The platform processes thousands of candidate profiles and reduces manual screening from hours to minutes. • Enterprise multi-agent GraphRAG platform unifying documents, databases, Jira, and Confluence with hybrid retrieval, graph reasoning, and answer verification. RAGAS-based evaluation improved answer quality by more than 25% while significantly reducing hallucinations across thousands of enterprise documents. • SmartSupportAI — an intelligent customer-support system (n8n, Gemini, Pinecone, Google Drive) that automatically detects new and updated manuals, FAQs, and knowledge-base content, keeping answers aligned with the latest documentation. Reduced document search time by approximately 75% and eliminated a large portion of repetitive support queries. • MCP-based financial research assistant with custom MCP servers integrating market data, news, and technical indicators, enabling multi-agent research workflows and faster investment analysis. • Multi-agent healthcare assistant automating patient workflows including department routing, appointment booking and modification, prescription explanations, patient-history retrieval, and seamless human escalation. • Medical image segmentation for cancer detection using deep learning, achieving strong validation performance, alongside an OCR and computer-vision pipeline for extracting measurements from architectural and construction drawings. Domains delivered in: recruitment, healthcare, finance, e-commerce, IoT, and manufacturing. — Why clients hire me, and rehire me — When you hire me, you work directly with the engineer building the solution. • 147 completed projects backed by a 100% Job Success Score • Production deployments that continue delivering value after handoff • Direct technical ownership from architecture through deployment • Fast iteration with working prototypes delivered early • Honest scoping — I'll tell you when AI isn't the right answer before you spend money on it — Tech — Python, LangGraph / LangChain, n8n, OpenAI / Claude / Gemini, MCP, Pinecone / Weaviate / FAISS, Neo4j, FastAPI, Docker, AWS / Azure / GCP. — Let's talk — If you need an AI agent, MCP integration, production RAG platform, or custom LLM application, send me a message describing the problem you're trying to solve. I'll tell you how I'd approach it, what I'd recommend, and whether I'm the right fit for the project.

⭐⭐⭐⭐⭐ AI/ML Engineer | 100% Job Success | Computer Vision, Recommendation Systems, AI-powered Insights, Chatbots, LLMs and RAG Systems Hi! I'm Ali Raza, an AI/ML Engineer with deep expertise in Computer Vision and Large Language Models. I build and deliver production-grade AI systems that drive real business results—from custom vision models to intelligent RAG pipelines ready for deployment. My focus is delivering fast, scalable, and reliable AI systems that integrate seamlessly into real-world products. 🏅 Expert in Tensorflow, PyTorch, LangChain and Production-Ready AI Solutions ⭐ 100% Job Success | Building Scalable Computer Vision Systems and Chatbots for Startups and Businesses 🏆 Specialized in Computer Vision, LLM Applications, and RAG Pipelines ✔ AI/ML Engineer specializing in Computer Vision ✔ LLM and RAG Systems Architect ✔ Python Backend and AI Integration Expert 👁️ Computer Vision Engineering and Development ___________________________________________________________________________ ✔ Object Detection, Segmentation, and Classification ✔ Image-to-Image Systems | Image and Video Processing ✔ Image Recognition, Image Matching, and Colour Matching Systems ✔ Video Analytics and Real-Time Tracking ✔ OCR and Document Processing Pipelines using Tesseract, OpenCV ✔ Custom PyTorch and OpenCV Model Development ✔ High-Performance Inference and Deployment ⚙️ LLMs and RAG Systems ___________________________________________________________________________ ✔ ChatGPT-like Applications and Custom AI Assistants ✔ Retrieval-Augmented Generation (RAG) Pipelines ✔ Vector Database Integration (PgVector, FAISS, Pinecone) ✔ LangChain-based LLM Workflows and Orchestration ✔ Prompt Engineering and Fine-Tuning ✔ Private Document Q&A and Knowledge Systems 🔨 AI-Powered Backend Systems ___________________________________________________________________________ ✔ FastAPI and Python AI Microservices ✔ REST API Development and Integration ✔ Real-time Inference Pipelines ✔ Scalable Backend Architecture for AI Products 📊 Data Engineering for AI Systems ___________________________________________________________________________ ✔ Data Cleaning, Preprocessing, and Feature Engineering ✔ ETL Pipeline Development and Automation ✔ Data Ingestion and Transformation Pipelines ✔ SQL, PostgreSQL, and MongoDB Database Design ✔ Web Scraping and Large-Scale Document Parsing using Playwright, BeautifulSoup 📩 MLOps and Deployment ___________________________________________________________________________ ✔ Docker Containerization ✔ AWS and GCP Deployment ✔ Model Optimization using ONNX and CUDA ✔ Production Deployment and Scaling ✔ CI/CD and Automation for ML Pipelines 🏆 Key Computer Vision Achievements ___________________________________________________________________________ ✨ Built custom object detection models using YOLO, PyTorch, and OpenCV ✨ Fine-tuned vision models using LoRA for efficient domain adaptation ✨ Developed image similarity and matching systems for visual search ✨ Implemented OCR pipelines for automated invoice and document processing ✨ Designed and deployed real-time video processing systems ✨ Containerized and deployed vision APIs on AWS and GCP infrastructure ✨ Optimized models using ONNX, TensorRT, and CUDA for faster inference ✨ Created automated data extraction pipelines for document-intensive workflows 🛠️ TECH STACK ___________________________________________________________________________ ➡️ Core Languages: Python, SQL, C/C++, JavaScript ➡️ Machine Learning Models and Architectures: ML Models: Logistic Regression, Decision Trees, SVM, KNN, Ensemble Methods, PCA, Naive Bayes Deep Learning: CNNs, RNNs, Autoencoders, GANs, Transformers, Large Language Models (LLMs), UNet, YOLO ➡️ Machine Learning and AI: PyTorch, TensorFlow, Scikit-learn, OpenCV, Keras, ONNX Runtime, Sentence-Transformers, spaCy, NLTK, Tesseract OCR, NumPy, XGBoost, LSTM, Transformer Models ➡️ Model Fine-Tuning and LLM Adaptation: LoRA, QLoRA, Transfer Learning, Fine-Tuning LLMs (GPT, LLaMA, Mistral), Instruction Tuning, Supervised Fine-Tuning (SFT), Adapter Layers ➡️ LLM and RAG Frameworks: LangChain, FastAPI, PgVector, FAISS, Pinecone, Vector Databases, Embedding Pipelines ➡️ Backend and APIs: FastAPI, Flask, REST APIs, Microservices Architecture, Streamlit, Uvicorn ➡️ Data Engineering and Databases: PostgreSQL, MongoDB, MS SQL Server, Neo4j, PgVector, Pandas, NumPy, ETL Pipelines ➡️ Cloud and DevOps: AWS, GCP, Docker, CI/CD Pipelines, Model Serving, Scalable Deployment ➡️ Automation and Scraping: Playwright, BeautifulSoup, Automated Data Extraction, Document Parsing 🤝 Let's Work Together! ___________________________________________________________________________ If you're building an AI product, integrating LLMs, or developing Computer Vision systems, feel free to invite me to discuss your project!

- Top 1% Full-Stack AI Developer (End-to-End Product Builder) - 7+ Years of Experience in AI, Machine Learning & Scalable Systems - Built AI Products that Raised Over $2M in Funding - Systems Processing 1M+ Images per Month in Production - Expert in Building End-to-End AI Applications (Model → Backend → Frontend) - Specialized in Computer Vision, NLP & Predictive Analytics - Experience Collaborating with Engineers from Google & AWS - Strong Expertise in FastAPI, React, Next.js & Cloud (AWS/GCP) - Proven Track Record of Building Scalable SaaS & AI Platforms I’m Naeem, a Full Stack AI Developer with 7+ years of experience building intelligent web applications, AI-powered systems, and scalable products for startups, product companies, and growing businesses. As a Full Stack AI developer, I work across both frontend and backend while integrating advanced AI capabilities, helping clients build products from scratch, automate workflows, and scale with confidence. My main stack includes React, Next.js, Node.js, TypeScript, Python, FastAPI, and modern AI frameworks like PyTorch and TensorFlow. As a Full Stack AI developer, I build responsive user interfaces, develop backend services, create APIs, train and deploy AI models, and connect everything into seamless, production-ready systems. I also work with Tailwind CSS, modern UI libraries, and scalable cloud architectures. I have experience as a Full Stack AI developer building AI-powered SaaS platforms, automation tools, dashboards, internal systems, and data-driven applications. My work includes integrating machine learning models, building AI pipelines, designing system architecture, and delivering features that solve real business problems. I focus on writing clean, maintainable code and building systems that are reliable in production. As a Full Stack AI developer, I work with databases like PostgreSQL, MongoDB, MySQL, Firebase, and vector databases for AI applications. I design efficient data pipelines, handle large-scale data processing, and build systems that support real-time and asynchronous AI workloads. A Full Stack AI developer should understand how data, models, and applications work together — and that’s the approach I bring to every project. I also have strong experience as a Full Stack AI developer with computer vision, natural language processing (NLP), and predictive analytics. I build systems for image recognition, document parsing, chatbots, recommendation engines, and intelligent automation. I deploy models into production environments where they deliver consistent and measurable value. Beyond coding, I contribute as a Full Stack AI developer who understands product thinking and team workflows. I have experience with Git workflows, CI/CD pipelines, cloud deployment (AWS/GCP), and system design. In some projects, I work purely as a developer. In others, I support architecture decisions, AI strategy, and technical leadership. Clients hire me as a Full Stack AI developer when they need someone who can handle both AI and full-stack development without gaps. I can join a team, own features end-to-end, build MVPs, scale AI systems, improve existing applications, or stabilize complex projects. I also support long-term development, optimization, and feature expansion. My services as a Full Stack AI developer include: AI-powered web applications, custom machine learning models, computer vision systems, NLP solutions, API development, backend systems, React and Next.js applications,

Senior AI Technical Program Manager and AI Platform Leader with 10+ years of experience delivering enterprise-scale AI systems, Generative AI platforms, and secure data solutions across government, research, and global tech environments. I specialize in: Generative AI (LLMs, RAG, AI Agents, Multi-modal AI) AI Product & Program Management LLM Training, Evaluation & Benchmarking Enterprise AI Platforms & MLOps Secure AI & AI Governance (XAI, Adversarial ML) I have led large-scale AI programs including: LLM training pipelines (200+ contributors) Enterprise RAG platforms AI-powered document intelligence systems Geospatial AI and satellite analytics platforms Secure AI systems for healthcare, finance, and government I combine deep technical expertise + program leadership + product thinking, ensuring AI systems are not just built — but delivered, scaled, and aligned with business outcomes. Core Skills AI & Data Systems Generative AI (LLM, RAG, Agents, GANs) LLM Training, Evaluation & RLHF workflows AI/ML Engineering (PyTorch, TensorFlow, Transformers) MLOps & AI Infrastructure (Docker, Kubernetes, CI/CD) Vector Databases (Pinecone, FAISS, ChromaDB) Document Intelligence & OCR Systems AI Agents & Workflow Automation Explainable AI (XAI), Secure ML, Adversarial ML Program & Product Leadership AI Technical Program Management Product Strategy & Roadmap Execution Agile / Scrum / Hybrid Delivery Stakeholder & Executive Management Risk, Dependency & Release Management Cross-functional Team Leadership

I'm Vishwajeet Panda, a highly motivated and results-oriented tech professional with a passion for innovation and a proven track record of success. As a winner of the Smart India Hackathon in both 2022 and 2023, I possess strong technical expertise in Machine Learning (ML), Deep Learning (DL), and web development. My diverse skillset encompasses Python, TensorFlow, Keras, Scikit-learn, and more. I also have experience with MLOps, Flask, OpenCV,and web development frameworks. Here's what sets me apart: * My victories in Hackathons showcase my ability to tackle complex challenges and deliver innovative solutions, in tight deadlines. * My top priority is high quality work and I thrive on building successful partnerships and exceeding expectations. Ready to discuss your project? Leveraging my skills and experience to bring your vision to life. Contact me today to discuss how I can contribute to your success. Email: panda18vishu@gmail.com

Senior Software Developer and Industrial ML Specialist with over 20 years of experience. In my previous role I built mission critical software, including the control systems (SCADA) used to run pipelines, LRT systems, and power plants. Since then I co-founded a startup to build the ML to augment those systems, optimizing industrial systems to reduce power cost and increase throughput, and building failure prediction and detection systems to avoid costly downtime and repairs. My industrial background gives me the experience needed to take software past "production ready" to the five-nine reliability needed when a single glitch can take down a multi-billion dollar production system, or prevent life-saving infrastructure from running in an emergency. As an ML engineer I went back to those same systems with an eye towards the hidden opportunities buried in the raw data. This involved dealing with the complexities of messy real world data such as: missing or malfunctioning instruments, unknown time offsets, unlabelled data, missing logs, and clients with a very different view of the systems. I handled the full lifecycle: data validation and cleaning, feature engineering, model development, application design, and cloud deployment. As a developer I specialize in C/C++, Python, and JavaScript, and am a skilled full-stack developer with strong Linux/Unix system administration skills. My ML specializes in time series, regression, and categorization, but I have built solutions in many other areas including Computer Vision, Reinforcement Learning, and Large Language Models. Having co-founded and led a startup I have a strong eye for evaluating business proposals and focusing on what's needed for a successful MVP. For instance, I know when a particular piece of functionally is critical to the value proposition, and thus needs to be absolutely flawless. And I know which bits of functionality just need to be done as quickly and cheaply as possible so the prototype can get out the door.

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, Thank you for taking time to visit my profile. As a Machine Learning Engineer and Python developer, I have extensive experience working with a range of libraries and frameworks to build robust, scalable applications. Specifically, I have expertise in the following commonly used libraries: NumPy: I have utilized NumPy to perform numerical computations and multi-dimensional array manipulations, especially in scientific and data analysis projects. Pandas: I am proficient in using Pandas for data manipulation and analysis, which is crucial for extracting insights and creating reports that drive business decisions. Matplotlib: I have experience in data visualization and plotting with Matplotlib, which enables me to create insightful and visually appealing visualizations. Scikit-learn: I have expertise in Scikit-learn, a machine learning library that offers a broad range of tools for classification, regression, and clustering tasks. I have used Scikit-learn to build predictive models for various applications. TensorFlow and Keras: I have experience in using these libraries for developing and training machine learning models, especially deep learning models. PyTorch: I have used PyTorch for developing and training machine learning models, particularly deep learning models. Seaborn: I am proficient in using Seaborn for statistical data visualization and graphics, which helps in communicating insights to stakeholders. SciPy: I have used SciPy for scientific and technical computing, particularly in engineering and physics projects. NLTK: I am experienced in using NLTK for natural language processing tasks, such as sentiment analysis and text classification. Overall, my expertise in these popular Python libraries allows me to deliver high-quality solutions that meet the needs of businesses and organizations. With strong analytical and problem-solving skills, I am able to provide efficient, scalable solutions that drive growth and success.

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!