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✅ TOP-RATED PLUS | 🥇 Top 3% of freelancers | Full-time freelancer on Upwork with extensive professional experience in concept and reverse engineering of Robotics/Automation solutions, either using 3D Printing or Industrial machining process, Qualitative Detail R&D, 2D/3D CAD Modeling, Photorealistic rendering, ROS controlling, testing, and debugging, AI ML/RL, Metaverse, Blockchain NFT marketplace. ✅ I am a Robotics/Automation Engineer with 5+ years of professional experience in various fields. I am willing to travel internationally for work. I specialize in developing real-time motion control RL-based policy for humanoid robots, such as the Unitree G1, encompassing simulation, gait optimization, hardware deployment, and neural inference. I am proficient in: • Smart robotics engineering (from mechanical to software end-to-end solution) • A passion for robots that solve problems or provide a meaningful purpose • New concept R&D design and development of any SPM system, Automation Conveyor system, Humanoid robot, Robotic Arms, etc. • Path planning and navigation planning system on ROS, Isaac Sim, MuJoCo simulation • 3D modeling, 2D drawing, and Engineering Drawing using SolidWorks and Inventor • 3D model rendering/animation utilizing Blender, Unity, Unreal Engine, and Keyshot • ML / RL & AI algorithms, LLM model development, and also experts in RoboDK • Highly experienced in working with actuators and motors in machinery development • Brief evolution in Reverse engineering • Have worked with many companies, from startups to corporate R&D groups • I have an extensive network of industry specialists and vendor suppliers, both domestic and international. If it can be defined, it can be made ✅ As a blockchain developer, I led a team under my supervision. All of them are working nowadays and have many clients. We have worked mainly on services in Crypto NFT, Blockchain, Unity 3D, and Metaverse development. ✅ I am eager to work with you to meet your expectations and build a long-term relationship. Please get in touch with me to discuss your project.

I build AI systems that turn data into decisions fast. Whether you’re trying to match the right candidate to the right job, detect products in real time, or launch a custom GPT-style assistant, I’ll help you go from concept to deployment with clean, reliable, production-ready AI. As a seasoned AI/ML engineer and consultant, I specialize in delivering full-stack machine learning solutions across NLP, LLMs, computer vision, time series forecasting, and anomaly detection - all optimized for real-world speed, scale, and security. I work with startups, founders, and enterprise teams to integrate AI deeply into their workflows, transforming raw data into value, and automation into advantage. 🔹 Core Capabilities • Vertex AI & MLOps Excellence Scalable training, tuning, deployment, and monitoring pipelines using Vertex AI, AutoML, and GCP-native tooling. Seamless integration with BigQuery, Cloud Functions, and artifact management via MLflow or Vertex AI Experiments. • Natural Language Processing (NLP) Building and fine-tuning powerful NLP systems: resume classifiers, document summarizers, sentiment engines, NER extractors, and custom GPT-like assistants using Transformers, Hugging Face, LangChain, and LLM fine-tuning frameworks (LoRA, QLoRA). • Computer Vision Developing high-performance visual systems for image classification, object detection (YOLOv5/v8), segmentation, and OCR using TensorFlow, PyTorch, and pre-trained vision transformers (e.g., SAM, CLIP). • Time Series Forecasting & Anomaly Detection Designing intelligent systems to predict, flag, and act on time-dependent patterns in finance, retail, supply chain, and operations using Prophet, ARIMA, LSTM, CNN-LSTM hybrids, and change-point detection algorithms. • Prompt Engineering & Generative AI Crafting strategic prompts and pipelines for GPT-4o, LLaMA 3, Claude, and open-source LLMs. Experienced in structured chaining, memory management, and tool-calling using LangChain, LangGraph, and LangServe. • Framework Mastery Fluent in TensorFlow, PyTorch, Scikit-learn, Hugging Face, OpenCV, FastAPI, Streamlit, and Docker. Whether building from scratch or scaling pre-trained models, I’m equipped to handle any task cleanly, efficiently, and with purpose. 🔹 Beyond the Code – Strategic Execution • I turn business goals into deployable AI systems, translating product vision, user needs, and messy data into models that work in the real world. • I collaborate across teams - bridging gaps between technical and non-technical stakeholders to ensure clarity from planning to post-deployment. • I prioritize performance, reliability, and scale, building systems that aren’t just accurate, but fast, maintainable, and cost-efficient. • I move with intent - scoping projects clearly, setting expectations early, communicating consistently, and delivering on time. • I think like a partner, not a contractor - solving the problem behind the problem, and always looking for the simplest, smartest path to ROI. If you’re looking for a high-caliber AI partner - someone who writes clean code and thinks like a product strategist, let’s connect. I’ll help you bring your AI vision to life, from concept to deployment.

𝐀𝐈 𝐢𝐬 𝐨𝐧𝐥𝐲 𝐯𝐚𝐥𝐮𝐚𝐛𝐥𝐞 𝐰𝐡𝐞𝐧 𝐢𝐭 𝐫𝐮𝐧𝐬 𝐲𝐨𝐮𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 — 𝐧𝐨𝐭 𝐰𝐡𝐞𝐧 𝐢𝐭 𝐬𝐢𝐭𝐬 𝐢𝐧 𝐚 𝐝𝐞𝐦𝐨. I design and build 𝐞𝐧𝐝-𝐭𝐨-𝐞𝐧𝐝 ai systems that combine 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐚𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐚𝐠𝐞𝐧𝐭𝐬, 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧, and 𝐟𝐮𝐥𝐥-𝐬𝐭𝐚𝐜𝐤 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 into one cohesive, production-ready ecosystem. 𝐅𝐫𝐨𝐦 𝐝𝐚𝐭𝐚 𝐢𝐧𝐠𝐞𝐬𝐭𝐢𝐨𝐧 → 𝐌𝐋 𝐦𝐨𝐝𝐞𝐥𝐢𝐧𝐠 → 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐚𝐠𝐞𝐧𝐭𝐬 → 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 → 𝐮𝐬𝐞𝐫-𝐟𝐚𝐜𝐢𝐧𝐠 𝐝𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬, 𝐈 𝐡𝐚𝐧𝐝𝐥𝐞 𝐭𝐡𝐞 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐥𝐢𝐟𝐞𝐜𝐲𝐜𝐥𝐞 — 𝐞𝐧𝐬𝐮𝐫𝐢𝐧𝐠 𝐲𝐨𝐮𝐫 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐢𝐬 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞, 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞, 𝐚𝐧𝐝 𝐛𝐮𝐢𝐥𝐭 𝐟𝐨𝐫 𝐫𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 𝐮𝐬𝐚𝐠𝐞. 🚀 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝 (𝐄𝐧𝐝-𝐭𝐨-𝐄𝐧𝐝) 🤖 𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 I specialize in "Agentic" workflows where AI can use tools, remember context, and collaborate: Frameworks: LangGraph, CrewAI, and LangChain. Capabilities: Tool-calling, persistent memory, and multi-agent systems. Agentic Workflows: n8n-based logic for complex decision routing. Use Cases: Automated Lead Qualification, AI Support Resolution, and Operations Routing. 📊 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 I build custom ML pipelines that turn raw data into foresight: Forecasting: Predictive analytics for sales and market trends. Security: Anomaly and fraud detection systems. End-to-End MLOps: Data collection, feature engineering, model training, and monitoring. ⚙️ 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 I replace manual overhead with event-driven ecosystems: Platforms: Expertise in n8n, Make, and Zapier. Custom Logic: Deep Python-based automations for complex logic. Impact: Real-time reporting, automated sales pipelines, and AI-triggered operations. 🌐 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐀𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 I provide a single point of accountability for your entire application: Backend: Production-grade FastAPI and Node JS APIs with RAG integration. Frontend: React dashboards and AI Copilot interfaces. Knowledge Bases: Vector databases like Pinecone and Weaviate for enterprise RAG. 🛠️ 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 AI & Agents: LangGraph, CrewAI, LangChain, OpenAI, Claude, Gemini. ML Systems: Python, PyTorch, Scikit-learn, Hugging Face. Automation: n8n, Make, Zapier, Custom Python Scripting. Full-Stack: React, FastAPI, Node JS, PostgreSQL, Vector Databases. Infrastructure: AWS, GCP, Docker (Microservices-ready). 💡 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐂𝐡𝐨𝐨𝐬𝐞 𝐌𝐞 Systems Thinking: I design interconnected AI ecosystems, not isolated features. Production-First: No fragile prototypes. Every system is built to be secure and scalable. Direct ROI: I focus on automation that pays for itself by reducing overhead and error. 𝐋𝐞𝐭’𝐬 𝐭𝐮𝐫𝐧 𝐲𝐨𝐮𝐫 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 𝐢𝐧𝐭𝐨 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭, 𝐚𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐬𝐲𝐬𝐭𝐞𝐦𝐬. 𝐌𝐞𝐬𝐬𝐚𝐠𝐞 𝐦𝐞 𝐭𝐨 𝐝𝐢𝐬𝐜𝐮𝐬𝐬 𝐡𝐨𝐰 𝐰𝐞 𝐜𝐚𝐧 𝐬𝐜𝐚𝐥𝐞 𝐲𝐨𝐮𝐫 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬 𝐰𝐢𝐭𝐡 𝐀𝐈.

I am a Senior AI/ML Engineer with 6+ years of production experience building intelligent systems for clients across the USA, UK, Middle East, and Europe, 50+ projects delivered, 50+ clients served, 100% Job Success on every Upwork engagement. I operate as a hands-on AI technology partner through the full development lifecycle, from initial problem scoping and data engineering to model training, system integration, cloud deployment, and long-term maintenance. My work spans startups, funded ventures, and government institutions, including a production deployment under the United Nations Development Programme (UNDP) for the Government of Balochistan. I specialise in building AI systems that survive real-world conditions, not controlled experiments. This includes fine-tuning LLMs on custom datasets, designing multi-agent pipelines with LangGraph and CrewAI, building RAG architectures with Query Expansion and Cross-Encoder Re-ranking, and deploying computer vision systems on edge hardware. I have also engineered 10+ full-stack software products that are live and actively used by real clients today. My engineering philosophy: the last 20%, deployment, latency optimisation, and production hardening, is where most AI projects fail. That is exactly where I focus. ⦿ Industries and Domains Served Government and Public Sector, FinTech and Accounting, Real Estate and PropTech, Crypto and Web3, Career Intelligence and HR Tech, Transportation and Smart Cities, Healthcare, Research and Academia ⦿ Systems and Solutions Delivered AI Agents and Multi-Agent Systems, RAG Pipelines, LLM Fine-Tuning (SFT, LoRA, QLoRA), Custom Transformer Training from Scratch, Computer Vision Systems, NLP Pipelines, AI SaaS Platforms, Facial Recognition, Sign Language Detection, AI Voice Assistants, Crypto Intelligence Agents, Financial Forecasting, Data Dashboards, Data Engineering ⦿ Selected Work Mind of Pepe — Crypto AI Agent Fine-tuned LLaMA on real trading agent data to build a persona-driven crypto Twitter agent achieving 98% signal accuracy. Integrated a RAG system with live CoinMarketCap data and sentiment analysis into a gated meme coin trading terminal. Drove viral community engagement. Stack: LLaMA, SFT Fine-Tuning, RAG, CoinMarketCap API, Twitter API AI Receptionist — Jumper Media Full voice AI receptionist handling intelligent call routing, scheduling, follow-ups, and outbound calls autonomously. Optimised response latency to 850ms for a seamless human-like experience. Stack: n8n, Telnyx, ElevenLabs, Python Aqariiq.ai — AI Real Estate Platform (UAE) Full-stack AI platform with ML property valuation, NLP natural language search, smart recommendations, and real-time market dashboards. Built for Arabic and English markets. Stack: Machine Learning, Django, Next.js, PostgreSQL, AI Agents OnTrack Careers — AI Career Intelligence LangGraph multi-agent system scoring AI job-replacement risk, identifying skill gaps, and recommending personalised career pathways and development plans. Stack: LangGraph, OpenAI, FastAPI, Python ⦿ What Sets Me Apart 2x Kaggle Expert with published datasets and notebooks across reinforcement learning, computer vision, LLMs, NLP, and data science — recognised by the global ML community with 8 bronze medals and a dataset that reached 3rd place trending globally. I have worked on both sides — as a research assistant at the University of Balochistan CS Department training detection models that contributed to academic publication, and as a commercial engineer shipping products under tight client deadlines. That combination means I bring both depth and delivery. Unlike most AI freelancers who own one layer — modelling, or APIs, or deployment — I cover the full stack: from raw data to trained model to deployed API to monitored production system. One engineer, one contract, complete ownership. ⦿ What I Build For You AI Agents and Multi-Agent Systems, LangGraph, CrewAI, LangChain RAG Pipelines and Knowledge Systems, Chroma, Pinecone, Re-ranking LLM Fine-Tuning on Your Data, LoRA, QLoRA, SFT, LLaMA, HuggingFace Computer Vision Systems, Detection, Tracking, Segmentation, YOLO NLP Pipelines, Classification, Extraction, Translation ML Pipelines and MLOps, MLflow, DVC, Airflow, Docker, AWS Full-Stack AI APIs and SaaS, FastAPI, Django, PostgreSQL Data Science and Analytics, Forecasting, Dashboards, Power BI ⦿ Core Tech Stack AI and ML: PyTorch, TensorFlow, HuggingFace, Scikit-learn, XGBoost Generative AI: OpenAI, LLaMA, LangChain, LangGraph, CrewAI, Groq Vision: OpenCV, YOLOv8, ViT, MediaPipe, OAK-D, Jetson Nano Cloud: AWS, GCP, Azure, Docker, Kubernetes Backend: FastAPI, Django, Flask, PostgreSQL, MongoDB, Redis MLOps: MLflow, DVC, W&B, Airflow, GitHub Actions, ONNX Available 30+ hrs/week Building something with AI? Message me, let us make it production-ready.

AI Developer with 4+ years of building learning systems, automating workflows, and solving intricate problems with precision-engineered solutions. I deliver robust, high-accuracy systems across a variety of applications (including finance, automation, natural language processing, and computer vision). AI Skills: - Machine Learning, Deep Learning, Large Language Models (LLMs), Computer Vision, Predictive Analytics - Custom model training, optimization, evaluation, and fine-tuning Frameworks: - scikit-learn, PyTorch, TensorFlow Languages: - Python, Java, C++, Bash Tools: - Git, SQL, FastAPI/Flask, Docker, Kubernetes, MLOps I am passionate about modular solutions, efficient operation, and leveraging the true power of AI to solve the toughest problems. Let's connect and see how I can help your project move forward!

Greetings, I am a Senior AI Engineer specializing in Machine Learning, Deep Learning, Federated Learning, LLMs, and AI Automation. I focus on building scalable, secure, and production-ready AI solutions that solve real business problems. My core strength lies in designing end-to-end AI systems, from data processing and model development to deployment and automation. I have strong experience in LLM-based RAG systems, computer vision, and privacy-preserving AI using Federated Learning. I also work on enhancing AI security through Blockchain integration where applicable. Key Expertise: Generative AI and Automation * LLMs, RAG systems, chatbots * AI workflow automation and integrations Advanced AI * Federated Learning * Secure AI systems with Blockchain integration Machine Learning * Regression models, Decision Trees, SVM * Ensemble methods: Random Forest, Gradient Boosting (XGBoost) * Probabilistic and distance-based models (Naive Bayes, KNN) Deep Learning * ANN, CNN, RNN, LSTM, GAN * Model optimization and deployment Computer Vision * Image classification, object detection, segmentation I am passionate about collaborating with clients to deliver robust, efficient, and future-ready AI solutions. If you are looking for a Senior AI Engineer who combines research-level expertise with real-world implementation, I would be happy to discuss your project.