Data Science & Analytics | AI & Machine Learning | Machine Learning Generative AI Modeling | Deep Learning | AI Data Annotation & Labeling | Knowledge Representation Data Analysis & Testing | Data Extraction/ETL Data Analytics | Data Visualization | Experimentation & Testing | Data Extraction | Data Processing I help startups and growing businesses build production-ready Generative AI systems — with a strong focus on AI Voice Agents and advanced, multi-source RAG architectures that go far beyond simple demos. I architect and deploy production-grade custom AI systems that unify data, automate workflows, and integrate intelligence directly into business operations. Whether through machine learning models, LLM-powered agents, or API-driven automation pipelines, I build scalable solutions designed for accuracy, maintainability, and real-world deployment — not experimental demos. Machine Learning | Deep Learning | Generative AI Modeling | AI Integration | Scripting & Automation | Back-End Development | Data Analytics | AI Chatbot Development | Natural Language Processing | Artificial Intelligence | AI Agent Development ✅ What I actually build: 🔹 AI Voice Agents • Voice agents using Vapi AI and Twilio for calling workflows • STT with AssemblyAI / Deepgram • LangGraph-based agents using Anthropic, OpenAI, and Groq models • Tool-calling voice agents for real-time actions and external data access • TTS with ElevenLabs / Cartesia (low-latency, natural voice) • Reliable conversational flows designed for production use 🔹 Agentic RAG Systems • Multi-source retrieval (PDF, CSV, SQL, Web) • Vector databases: FAISS, Qdrant, ChromaDB • Context assembly, hybrid retrieval, reranking, and validation to reduce hallucinations 🔹 MCP-Style AI Architectures • Modular servers for ingestion, retrieval, reasoning, and tools • Clean separation of data sources, agents, and LLM logic 🔹 Automation & Data Pipelines • Python automation, API integrations, and n8n workflows • Data extraction, scraping, and normalization (Playwright, web sources) 🛠 Tech Stack: Python, LangChain, FAISS, Qdrant, Chroma, Vector DBs, LLMs (OpenAI GPT, Anthropic Claude, LLaMA, Gemini, Groq, Ollama local model), Pandas, SQL, Flask, FastAPI, Streamlit, APIs, n8n, Playwright, Docker, VS Code, Scikit-Learn, PyTorch, TensorFlow I care deeply about production reliability, hallucination control, and delivering AI systems that work end-to-end. I also handle deployment, infrastructure setup, and production operations, so clients get a complete end-to-end AI system. 📩 If you need an AI solution designed, implemented, and deployed in production, let’s talk.

⭐️ Top Rated Plus - Top 1% of talent on Upwork 🕒 Experienced Software and AI Engineer with MSc from Oxford University ✅ 7+ years of experience ✅ 50+ projects delivered ✅ Excelling in delivering Enterprise scale projects I help companies turn complex ideas into production-ready AI platforms, intelligent agents, and scalable web/mobile systems that grow revenue, reduce costs, and unlock new opportunities. With an MSc from Oxford University and recognition as Top Rated Plus (Top 1%) on Upwork, I combine fractional CTO leadership with hands-on engineering across AI/ML, Generative AI, and full-stack development. My Guarantee: If I set the wrong expectation or fail to deliver as promised, you get a full refund. Your investment is risk-free. 🔹 How I Create Value AI & ML Systems – predictive analytics that improve decision-making, recommendation engines that drive conversions, anomaly detection that cuts fraud and downtime. Generative AI Solutions – RAG pipelines, AI agents, and copilots that save teams hundreds of hours, boost customer satisfaction, and surface insights instantly from data. Full-Stack Development – scalable SaaS platforms, APIs, and mobile apps that become growth engines, enabling clients to reach markets faster and raise funding. Enterprise Delivery – secure, compliant (SOC2, GDPR, HIPAA) systems built to perform at scale with clear metrics: lower latency, higher accuracy, reduced manual effort. 🔹 Tech Stack & Platforms AI/ML: Python • PyTorch • TensorFlow • Keras • Scikit-learn • Hugging Face • MLflow • MLOps Generative AI: GPT-4/Claude/LLaMA • LangChain • LangGraph • LlamaIndex • Pinecone • Weaviate • Qdrant • ChromaDB Full-Stack: React • Next.js • Vue.js • Angular • Node.js • FastAPI • Django • Flask • React Native • Flutter Cloud & DevOps: AWS • GCP • Azure • Docker • Kubernetes • Terraform • CI/CD Recent Client Wins Fundment (FinTech, UK): Scaled backend systems for regulatory compliance and growth → Fundment has since raised £45M+ to expand operations. Clippd (Sports Analytics, UK): Built data pipelines and ML modules powering elite golf analytics → supported a $10M+ VC round and global adoption across professional golf programs. Novai (Biotech, UK): Developed the Darc Stratos AI clinical trial platform → enabled Novai to raise $3.7M+ in pre-seed and seed funding to take their biomarker to market. MarketingCopy AI (Generative SaaS): Built end-to-end GPT-powered SaaS product → helped the founders secure seed investment and onboard early enterprise customers. Pixelogy Network (Digital Securities): Delivered AI-based identity verification & KYC system → transformed investor onboarding for regulated capital raising. Nestlé (Retail Innovation, Global): Built a digital shopping assistant in collaboration with FusePump → scaled e-commerce personalization across markets. 🔹 Why Clients Trust Me ✓ Fractional CTO & hands-on builder — I architect and code ✓ 90+ projects delivered with measurable business outcomes ✓ Top Rated Plus • Expert-Vetted • 100% Job Success ✓ Risk-free engagement: refund guarantee if I don’t deliver what’s promised Beyond technical prowess, I pride myself on honesty and empathy, understanding the challenges businesses face firsthand. Your success is my utmost priority, and I'm eager to learn more about your ventures. Don't hesitate to reach out—I'm here to support and propel your journey to success!

PhD in Artificial Intelligence and hands on AI Engineer with expertise in MLOps, Agentic AI, Retrieval-Augmented Generation (RAG), and AI for Embedded Systems. I specialize in building production grade AI systems and conducting research in self-supervised learning, supervised learning, and model fine tuning for both Computer Vision and NLP. My experience spans the full AI lifecycle, including large-scale model training, LLMs, embeddings, vector databases, multimodal AI, AI optimization for resource-constrained devices, deployment, and MLOps. I help startups and businesses transform cutting-edge AI research into scalable, production-ready solutions that deliver real-world impact. What I Bring Generative AI & LLMs – I build practical AI solutions using large language models, including chatbots, RAG systems, fine-tuned models, AI agents, and multimodal applications. Computer Vision & Embedded AI – I develop efficient deep learning solutions for real-world applications, including AI systems optimized for edge and embedded devices. AI Optimization & Efficiency – I optimize models and AI infrastructure to improve performance, reduce latency, memory usage, and operational costs. End-to-End AI Development – From research and prototyping to deployment and monitoring, I take ownership of the complete AI development lifecycle. Innovation & Research – Founder of "NemaNet", an AI-powered plant parasitic nematode detection solution optimized for embedded devices, combining deep learning research with practical agricultural applications. Unique Advantage Many AI professionals focus either on research or software engineering. I combine both, bringing deep expertise in AI research together with hands-on experience building and deploying production-grade systems. From LLM-powered applications and RAG pipelines to computer vision and embedded AI solutions, I transform innovative ideas into reliable, scalable products that deliver measurable business value. If you're looking for an AI partner who can bridge cutting-edge research and real-world deployment, I'd be glad to discuss your project.

🏆 100% JSS | Top Rated ⏱️ Available across US, Canada, Europe, UK, Australia, and preferred time zones 🥇 Experience with teams at Turing, Meta, Google, YouTube (Agentic) 💼 8+ years | 22+ delivered projects | 506+ billed hours Senior AI/ML Engineer LLMs, RAG, Multi-Agent Systems, Python Backends Expert| Deep Learning | Computer Vision I’m Syed Mohsin Ali Shah, Ph.D. (Computer Science), University of Deusto, Spain. I design and deploy production AI that combines Large Language Models, retrieval-augmented generation (RAG), and agentic orchestration with scalable Python services. Focus areas: measurable accuracy, latency reduction, reliability, and maintainability. Core Strengths .) AI & LLM Engineering: GPT-4/5 class, Claude, LLaMA, Mistral; HF Transformers; custom inference servers .) Agentic AI: LangGraph, LangChain, MCP; planner–executor tool use, guardrails, monitoring .) Agentic AI: LangGraph, LangChain, MCP; planner–executor tool use, safeguards, and monitoring .) RAG: Pinecone, Weaviate, Chroma, LlamaIndex; hybrid search, reranking, retrieval evaluation .) NLP: Summarization, NER, structured extraction, document QA, routing Backend & Platforms: .) APIs: FastAPI, Django/DRF, Flask; JWT/OAuth, rate limiting, observability .)Scale & Ops: Docker, CI/CD (GitHub Actions), Redis, Celery, async I/O, streaming .) MLOps: MLflow, experiment tracking, canary releases, automated eval harnesses Machine Learning, Computer Vision & Generative AI: .) Fine-Tuning: LoRA/QLoRA, SFT, preference optimization; prompt/system design .) Vision: YOLO pipelines, OCR (EasyOCR, Tesseract, PaddleOCR), document AI .) Image Gen: SDXL/Flux, DreamBooth, control adapters, safety layers Cloud Based Deployment: .) Cloud: AWS, GCP, Azure, RunPod; GPU hosting, autoscaling, cost control .) Pipelines: ETL/ELT, Spark, batch/stream retrieval layers, vector ETL Quant & Time-Series (Stocks/Crypto): .) Forecasting Models: LSTM/GRU, TCN, Temporal Fusion Transformer, N-BEATS, XGBoost/LightGBM hybrids .) Signal Engineering: multi-horizon forecasts, regime detection, volatility features, market microstructure signals .) Back testing: walk-forward validation, cross-asset/rolling windows, slippage/fees modeling, position sizing .)Deployment: real-time inference APIs, feature stores, event-driven triggers, risk constraints and monitoring .) Use Cases: stock and crypto price prediction, alpha signal research, anomaly detection, and alerting (Research and engineering services only; not financial advice.) What I Deliver: .) Agentic AI platforms (planner/orchestrator + tools: web search, CRMs, booking, calendars) .) RAG chatbots over PDFs, Notion, websites, and email—evaluated for grounding and faithfulness .) High-performance Python backends with FastAPI + Redis for low-latency inference .) LLM cost/latency optimization with caching, prompt shaping, and model routing .) Quant research stacks for equities/crypto: forecasting, signal evaluation, and live endpoints Tooling & Stack: .) Python, FastAPI, Django/DRF, LangGraph, LangChain, MCP, LlamaIndex, HF Transformers, Pinecone, Weaviate, Chroma, MLflow, Redis, Celery, Docker, GitHub Actions, SDXL/Flux, YOLO, OCR toolkits. .) Time-series: PyTorch/Lightning, darts, sktime, prophet (baselines), vector DBs for event retrieval. 💬 Let’s Work Together I build intelligent, reliable, and scalable AI systems from custom GPT apps and multi-agent workflows to high-performance Python APIs with clear communication, fast delivery, and long-term maintainability.

✅ Top 10% Talent on Upwork in AI and Data Science 🎖️ 2+ Years of Experience 🏅 Successfully Delivered 100+ Projects Across Diverse Industries 💯 Less than 1 Hour Response Time I specialize in solving business problems through AI-powered solutions using tools like Python, R, and SQL. My approach ensures impactful and scalable results perfectly aligned with your business objectives. 🎯 Looking to transform your data into actionable insights and build intelligent AI solutions? You've found your expert! ⭐ EXPERTISE IN: 🔷 Advanced Data Analytics & Business Intelligence 🔷 Generative AI & LLM Development 🔷 RAG (Retrieval-Augmented Generation) Systems 🔷 Custom LLM Fine-tuning & Optimization 🔷 AI Chatbot Development & Natural Language Processing 🔷 Machine Learning Model Development & Deployment 🔷 Deep Learning Solutions & Neural Networks 🔷 Predictive Modeling & Statistical Analysis ⭐ PROFESSIONAL SERVICES: 📊 DATA SCIENCE & ANALYTICS 🔷 Statistical Analysis & Hypothesis Testing 🔷 Predictive Modeling & Forecasting 🔷 Customer Segmentation & Behavior Analysis 🔷 Time Series Analysis & Trend Prediction 🔷 Recommendation Systems Development 🔷 Market Basket Analysis 🔷 Risk Modeling & Assessment 🔷 Data-Driven Decision Support 🔷 Advanced A/B Testing 🔬 BUSINESS INTELLIGENCE 🔷 Complex Data Analysis & Modeling 🔷 Advanced Data Visualization 🔷 KPI Dashboard Development 🔷 Real-time Analytics Solutions 🔷 Performance Metrics Tracking 🔷 Automated Reporting Systems 🔷 Interactive Business Dashboards 🤖 GENERATIVE AI & RAG SOLUTIONS 🔷 Custom LLM Integration & Development 🔷 RAG Pipeline Implementation 🔷 Vector Database Setup & Optimization 🔷 Knowledge Base Construction 🔷 Prompt Engineering & Optimization 🔷 LLM Fine-tuning & Training 🔷 Context Window Optimization 🔷 Custom Training Data Preparation 🔷 Model Performance Evaluation 🎯 MACHINE LEARNING SOLUTIONS 🔷 Supervised Learning Models: - Classification Algorithms - Regression Analysis - Random Forests - Gradient Boosting 🔷 Unsupervised Learning: - Clustering Algorithms - Dimensionality Reduction - Association Rules 🔷 Feature Engineering & Selection 🔷 Model Training & Validation 🔷 Hyperparameter Optimization 🔷 Production Deployment 🔷 Model Monitoring & Maintenance 🧠 DEEP LEARNING SPECIALIZATION 🔷 Neural Network Architectures: - Convolutional Neural Networks (CNN) - Recurrent Neural Networks (RNN) - Transformers 🔷 Computer Vision: - Image Classification - Object Detection - Image Segmentation - Face Recognition 🔷 Natural Language Processing: - Text Classification - Named Entity Recognition - Question Answering - Text Generation 🔷 Transfer Learning 🔷 Model Fine-tuning 🔷 GANs Implementation 💻 TECHNICAL STACK: ⭐ Core Technologies: 🔷 Python (Pandas, NumPy, Scikit-learn) 🔷 R Programming 🔷 SQL (PostgreSQL, MySQL) 🔷 TensorFlow & PyTorch 🔷 Hugging Face Transformers 🔷 LangChain & OpenAI 🔷 RASA & Dialogflow 🔷 Vector Databases (Pinecone, Weaviate) 🔷 LlamaIndex & LangChain 📈 Analytics & Visualization: 🔷 Power BI 🔷 Tableau 🔷 Looker Studio 🔷 Plotly & Seaborn 🔷 Interactive Dashboards ☁️ Cloud Platforms: 🔷 AWS SageMaker 🔷 Google Cloud AI 🔷 Azure ML 🔷 GPU Computing ⭐ PROFESSIONAL APPROACH: 🔷 Comprehensive Requirements Analysis 🔷 Data-Driven Solution Design 🔷 Systematic Development Process 🔷 Rigorous Quality Assurance 🔷 Clear Documentation 🔷 Ongoing Support ⭐ VALUE PROPOSITION: 🔷 Industry-Standard Best Practices 🔷 Scalable Solutions 🔷 Documentation & Knowledge Transfer 🔷 Regular Progress Updates 🔷 Efficient Project Management 🔷 Results-Driven Implementation ⭐ IDEAL FOR YOU IF SEEKING: 🔷 End-to-End Data Science Solutions 🔷 Generative AI Implementation 🔷 RAG System Development 🔷 Advanced Analytics Implementation 🔷 AI Process Automation 🔷 Predictive Modeling Systems 🔷 Custom Machine Learning Solutions 🔷 Deep Learning Applications 🔷 Intelligent Chatbot Systems 🔷 Business Intelligence Solutions 📨Ready to leverage data science and AI for your business growth? Contact me to discuss your project and see how we can drive measurable results together!

I'm a Machine/Deep Learning and Data Science expert in Python. I provide services related to Data Science, Machine Learning, and Deep Learning. I have done master's in computer science and 4 years of experience in Data Science and Machine/Deep Learning. I have multiple publications in different international journals and conferences. My aim and goal are to provide my customers with exactly what they want and required for their needs and to guide them throughout the process. Let's get in touch and start working on your Projects. Feel free to discuss your project-related queries.

Top Rated Plus | Top 10 Machine Learning Agency on Upwork | $500K+ Earned | 8+ Years in AI & Software Engineering I'm an AI Engineer building production-grade AI agent and RAG systems, not simple prompt wrappers. With 8+ years in software engineering and AI development and $500K+ earned on Upwork, I hold Top Rated Plus status and our team is ranked among the Top 10 Machine Learning agencies on the platform. I work with companies that need an AI system to actually run in production, handle real user traffic, and stay accurate, not a demo that breaks on the first edge case. As an AI Engineer, my core work covers retrieval-augmented generation pipelines, agentic workflows with tool calling and structured outputs, prompt engineering, and LLM integration with OpenAI, Anthropic, and Gemini APIs. This is the kind of system clients need an AI Engineer for: not a chatbot that answers FAQs, but an agent that retrieves the right information, calls the right tools, and follows through on what the user actually needs, with hallucination reduction and evaluation built in from the start. As a Machine Learning Engineer and Data Scientist, I build systems for structured and time-series data: demand forecasting, anomaly detection, biomedical signal analysis, and structural health monitoring. My data scientist workflow covers Python, scikit-learn, pandas, NumPy, and SciPy alongside deep learning frameworks including TensorFlow, PyTorch, and Keras, with experiment tracking and evaluation metrics to ensure models perform consistently in production. When a project needs predictive or classification models alongside the AI agent itself, I own that layer too as a Machine Learning Engineer. As a Computer Vision Engineer and software engineer, I build object detection, multi-object tracking, pose estimation, and image segmentation systems using OpenCV, YOLO, and deep learning architectures. Where this intersects with the AI Engineer work is in multimodal systems and computer vision agents: I work with Vision Language Models (VLMs) to build AI pipelines that understand images and video, not just text. Most AI Engineers only work with text. I bring production computer vision and deep learning experience on top of the LLM layer, which matters for any product where the AI needs to see, not just read. On the engineering side, I work as a Python developer and software engineer building backend services with FastAPI, vector databases including Pinecone and pgvector, and LangChain or custom orchestration for multi-step agent logic. When a project needs full ownership of both the AI layer and the surrounding application, I work as a Full Stack AI Developer, handling backend APIs, database design, and frontend integration so the AI system ships as a complete product, not just a backend script. I work with a specialized team that includes a computer vision PhD, deep learning researchers, and mathematical optimization specialists. This lets me scope larger systems, split orchestration, retrieval, and evaluation work across the team, and deliver a full AI Engineer and Machine Learning Engineer engagement faster than a solo contributor could, with the software engineering discipline of clean APIs, logging, and testing baked in from day one. Clients typically work with me when they need: - an AI Engineer to build a RAG pipeline, AI agent, or chatbot that actually works in production - a Machine Learning Engineer or Data Scientist to build predictive models or structured data pipelines - a Computer Vision Engineer to add visual understanding or VLM-based reasoning to an AI product - a Software Engineer who understands LLM orchestration, tool calling, vector search, and backend architecture - a Python developer who can own the full stack from model training to deployed API If you need an AI Engineer and a software engineer with the full stack from prompt design to production deployment, let's talk. Main stack: Python, OpenAI API, Anthropic Claude, Gemini, LangChain, LangGraph, LlamaIndex, FastAPI, Pinecone, pgvector, TensorFlow, PyTorch, Keras, OpenCV, YOLO, Docker, PostgreSQL, JavaScript, Git.

"As an accomplished professional in machine learning, data science, natural language processing (NLP), and computer vision, holding a bachelor"s degree in AI and boasting a proven track record in both academia and industry, I offer a wealth of expertise to address your specific requirements. My specialization spans diverse domains, from deploying solutions on cloud platforms like AWS to optimizing performance on edge devices such as Jetson Nano. Whether your needs revolve around algorithm design or implementation, I possess the requisite skills and experience to effectively tackle your unique challenges. My repertoire includes a gamut of classical techniques like xgboost, random forest, SVMs, regression, decision trees, and various naive Bayes algorithms. Additionally, I am adept at handling cutting-edge algorithms such as convolutional neural networks (CNNs), transformers, RNNS, and LSTMs, among others. Leveraging these algorithms, I have developed solutions ranging from object detectors and classifiers to segmenters and tabular data analysis tools. Utilizing state-of-the-art AI tools and methodologies, I strive to deliver accurate and efficient results tailored to meet the specific needs of each client. Whether you require assistance with machine learning algorithms, data analysis, computer vision applications, or NLP tasks, I possess the requisite skills and expertise to offer top-notch service. If you seek a seasoned AI specialist with a bachelor's degree in AI to spearhead your next project, your search ends here! Reach out to me today to discuss your requirements and embark on our collaborative journey towards success!"

Most AI initiatives are not unsuccessful because of substandard models. They are not working after all no one assembles all the pieces together. 𝐓𝐡𝐚𝐭'𝐬 𝐦𝐲 𝐣𝐨𝐛. ᯓ★ I build production-ready AI systems that solve real business problems. 🌍 Serving clients globally with 𝐟𝐥𝐞𝐱𝐢𝐛𝐥𝐞 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲 across all time zones 🏆 3+ years of hands-on experience across full-stack 𝐀𝐈 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 😊 Trusted by 𝟐𝟎+ 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 across healthcare, legal, finance, and education 🔝 Specialized in 𝐞𝐧𝐝-𝐭𝐨-𝐞𝐧𝐝 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 from concept to deployment Most AI projects do not fail because the model is weak. They fail because the full system is not designed properly: retrieval is poor, APIs are fragile, the frontend is disconnected, or deployment is ignored. My work focuses on connecting all of those pieces into one reliable product. I work across the full stack of AI development: machine learning/deep learning models, computer vision/NLP techniques, GenAI/Agentic AI & LLM applications, RAG pipelines, backend APIs, frontend interfaces, databases, and cloud deployment. I have built AI solutions across healthcare, legal tech, education, analytics, and cybersecurity, including systems for clinical triage, legal document analysis, real-time sentiment analysis, and enterprise knowledge assistants. ➥ Core Expertise Machine Learning: Classification, regression, clustering, dimensionality reduction, feature engineering, ensemble learning, anomaly detection, time-series, model evaluation (ROC-AUC, F1, RMSE), pipeline optimization. Deep Learning: CNNs, RNNs, LSTMs, Transformers, attention mechanisms, transfer learning, fine-tuning, backpropagation, gradient descent, model quantization. Computer Vision: Image classification, object detection, segmentation, OCR, pose estimation, preprocessing, augmentation, visual embeddings, video analysis, Grad-CAM. NLP: Text classification, sentiment analysis, NER, topic modeling, summarization, question answering, machine translation, semantic search, embedding-based retrieval. GenAI / Agentic AI: RAG pipelines, multi-agent systems, tool/function calling, prompt engineering, embeddings & vector search, reranking, hallucination reduction, LLM evaluation, fine-tuning (LoRA/QLoRA). Deployment: Containerization, orchestration, CI/CD pipelines, autoscaling, monitoring & logging, GPU deployment, serverless architecture. Full-Stack AI Development: AI chatbots, copilots, document Q&A systems, RAG-based systems, multi-agent workflows, memory systems, local LLM deployment. ➥ Tools and Frameworks Machine Learning: PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM, NumPy, pandas, MLflow, Optuna. Deep Learning: PyTorch, TensorFlow, Keras, Hugging Face Transformers Computer Vision: OpenCV, PyTorch Vision, Detectron2, YOLO, Albumentations, MediaPipe, Segment Anything (SAM), FiftyOne. NLP: BERT, RoBERTa, T5, GPT, SentenceTransformers, spaCy, NLTK, Hugging Face Transformers. GenAI / Agentic AI: OpenAI API, Gemini, LLaMA, Mistral, Claude, LangChain, LangGraph, CrewAI, LlamaIndex, FAISS, ChromaDB, Pinecone, Milvus, Ollama, vLLM. Backend APIs: FastAPI, Flask, Django, Node.js, GraphQL, REST APIs, Redis, Nginx, PostgreSQL/Supabase, Firebase. Deployment: Docker, Kubernetes, AWS, GCP, Azure, Vercel, GitHub Actions. ➥ Why Clients Work With Me - I build complete AI products, not just isolated models - I focus on real-world usability, performance, and maintainability - I communicate clearly and give realistic technical direction - I write clean, documented code that teams can extend - I can take a project from idea to deployment If you need an AI engineer who can handle the full pipeline from LLMs and ML models to backend, frontend, and deployment, I would be glad to help. Let’s have a quick chat/meeting and discuss the solution to your problem. ➥ EXPERTISE Machine Learning | Deep Learning | Generative AI | Agentic AI | NLP | AI System | AI Development | AI Full-stack Development | AI MVPs | Python Scripting | Computer Vision | Sentiment Analysis | RAG Chatbots | Automations | Backend Development | Frontend Development | AI Chatbots | LLM Applications | AI Web App Development | AI Engineer | Cloud Deployment | Classifications | Recommendation systems | EDA | Feature Engineering | Time-series | Predictive Modelling | MLOps | PDF Extraction | Data Extraction | Object Detection | Model Fine-tunning | AI Model Integration | AI PDF Extraction | Statistical analysis | Legal | Finance | Healthcare | Education | AI Model Development | Full-stack Development

I’ve helped 50+ clients deliver quality products 3× faster while saving up to $10K/month in salaries using AI-assisted coding powered by solid computer science and machine learning fundamentals. I am a machine learning enthusiast interested in turning your meaningless data into actionable information. With 11 years of software development and 8 years specializing in ML, I’ve built and deployed end-to-end AI solutions across industries, from conversational bots to vision-based grading systems. I also hold a Master’s degree in Machine Learning. Currently, I lead a 45-engineer team delivering production-grade ML products. Our portfolio includes: ✦ Avatare — Conversational AI platform ✦ Compugrade — Revolutionary AI assisted autograding for K-12 ✦ AffectCX — a live conversational bot helping pharma sales teams ✦ Conversational AI Platform — multimodal retrieval + generation system ✦ Card Grading App — computer-vision-based grading for collectibles ✦ Image Steganography (security + CV) ✦ Image Super-Resolution (enhancement using GANs or diffusion) ✦ Urdu OCR (language-specific, low-resource script) ✦ Conversation Detection (speaker recognition / dialogue analytics) ✦ Generative Text/Code Assistant, Multimodal App, Edge-AI deployment 🧠 Technology Stack: Python (full scientific stack) • PyTorch • TensorFlow • Keras • JAX/Flax • ONNX/TFLite/CoreML • OpenCV • Caffe2 • MxNet • Fastai • Ray / Dask / Spark • Docker / Kubernetes • Cloud (AWS/Google/Azure) • Edge / TinyML 🤖 Machine Learning / AI Stack: Generative AI: GPT‑4, Llama 2, DALL·E, Whisper, Claude, Stable Diffusion • Traditional ML: Random Forests, KNN, K-Means, SVM, Logistic Regression • Deep Learning: Neural Networks (ANN), CNNs, RNNs, GANs, Transformers, BERT, Graph-NNs • Modern paradigms: Self-Supervised Learning, Contrastive Learning, Multimodal Learning, Federated Learning • Architecture: Retrieval-Augmented Generation (RAG), Vector-Databases, MLOps (CI/CD, model-monitoring, versioning) 🧩 Problems I’ve Worked On: Image Classification • Object Detection • Semantic / Instance Segmentation • Face Recognition • Neural Style Transfer • Image Super-Resolution • Image Generation (GANs/Diffusion) • Text Classification • Sentiment Analysis • Time-Series Forecasting • Optical Character Recognition (OCR) • Multilingual / Urdu OCR • Information Retrieval • Agronomy Chatbot • Conversational AI Platform • Game Agent with Reinforcement Learning • Pokémon Card Grading App • Image Steganography • Edge/Embedded AI Inference • Multimodal Conversation Detection Above all, I am a quick learner and like to face challenges head-on! Clients who have worked with me like the commitment and the quality of work I do. Feel free to contact me.