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Do you have an AI vision that needs to become a real, working product? I don't just build models; I engineer complete, scalable solutions that turn data into actionable insights and automation. For over five years, I've specialized in bridging the gap between cutting-edge Artificial Intelligence (AI) research and robust software that delivers real-world value. My core expertise lies in computer vision and machine learning, but my skill set is full-stack. This means I can own your project from the initial data pipeline, through model training and optimization, all the way to deploying a polished desktop application or a secure enterprise API. I thrive on building tools that work seamlessly for end-users, whether it's a retail manager, a traffic controller, or a sports coach. My strongest suit is developing intelligent systems that "see" and understand the world. I've built a retail analytics platform (CrowdIQ) that transforms standard CCTV into a source of business intelligence, tracking customer demographics and behavior. In the sports domain, I created PadelIQ, an analytics engine that uses computer vision to track player movement, posture, and court coverage from match footage, providing real-time coaching feedback. For public safety, I developed a traffic management system (OmniRoad AI) using advanced object detection for real-time accident and congestion monitoring. Beyond computer vision, I architect full-scale data science pipelines. A prime example is my telecom churn prediction project, where I built a machine learning model to identify at-risk customers and paired it with an interactive Power BI dashboard. This end-to-end approach—from data analysis to a clear visualization of insights—ensures the model's findings directly inform business strategy and retention actions. I also develop the tools and infrastructure that power AI applications. I've built secure, enterprise-grade systems like DevelmoGPT, a RAG-based LLM that allows for secure, semantic search over private company documents. From creating simple utilities like PDF-to-audio converters to designing complex role-based access systems, I ensure the foundation of any AI solution is reliable, secure, and maintainable. My process is collaborative and results-driven. I start by deeply understanding your business problem, not just the technical requirement. We'll then iterate through prototyping, development, and testing to ensure the final product not only meets specs but also delivers tangible ROI. I communicate clearly at every stage, providing demos and documentation so you're never in the dark. Let's connect. Share your project idea or challenge, and I'll provide a clear outline of how we can leverage AI, machine learning, or computer vision to build your intelligent solution. Click the invite button to start the conversation. /// The following is just for SEO. You can ignore it /// #computer vision #computer vision engineer #computer vision OpenCV #machine learning computer vision #deep learning computer vision #computer vision machine learning #machine learning python #nlp machine learning

Hello! I am a Mechanical Engineer with 7 years of experience in 3D CAD modelling, product design, and engineering analysis. I specialise in turning ideas into manufacturable products using tools like SolidWorks, Creo, CATIA, Fusion 360, and ANSYS. I help startups, inventors, and companies with: ✅ 3D modeling & rendering ✅ Engineering drawings for manufacturing ✅ Finite Element Analysis (FEA) – stress, thermal, fatigue ✅ Product development & prototyping (including 3D printing support) ✅ Technical reports and documentation I deliver high-quality work on time and communicate clearly to ensure the best results. Whether you need a simple 2D drawing or a full product design ready for production, I can help. Let’s bring your idea to life 🚀

I'm Shoaib Siddique, an electronics engineer and full-stack systems developer with over 9 years of experience in embedded systems, IoT product development, and cloud-integrated software solutions. I specialize in building intelligent hardware prototypes and complete IoT ecosystems—from PCB design and firmware to Python-based dashboards and backend APIs. Whether you're a startup building a new product or an enterprise needing robust automation or monitoring solutions, I can help bring your concept to life. Core Capabilities: - PCB Design & Circuit Simulation (Altium, KiCAD) - Embedded Systems (ESP32, STM32, Arduino, Raspberry Pi) - Communication Protocols (RS485, UART, SPI, LoRa, BLE, DALI) - Cloud-Based IoT (AWS/GCP, MQTT, REST APIs) - Firmware Development (C, C++, Micropython) - Python Desktop & Web Apps (Tkinter, Streamlit, Flask) - Remote Troubleshooting, Testing & Prototyping (own lab) Let’s build innovative, scalable, and cost-efficient solutions that blend electronics with intelligent software. Available for consultations, long-term collaboration, or rapid prototyping.

Most AI projects are impressive demos that collapse in production. I build the architectures that do not handle edge cases, eliminating hallucinations, and scaling reliably from day one. With 11 years of engineering experience, I specialize in the hard side of AI, rigorous model research, production grade system design, and full stack delivery. I do not just prompt models or wrap APIs. I build the data pipelines, memory structures, retrieval systems, and guardrails that make AI reliable enough for real business use. GENERATIVE AI & ADVANCED RAG Simple vector search is rarely enough. I engineer RAG systems that actually work in production: • Hybrid Search: combining semantic understanding with keyword precision for accurate, citation backed answers with near zero hallucinations • Semantic chunking and re ranking algorithms to ensure the model reads the right context before answering • Fine-tuning LLaMA 3, GPT, and Claude on proprietary data for domain-specific accuracy • Multi agent workflows using LangGraph and CrewAI agents that query SQL databases, browse the web, and trigger API workflows autonomously, with planning logic that keeps them on track • Production & cost optimization: caching layers and prompt compression strategies that reduce LLM API costs by 30 to 40% while improving speed • Tools: LangChain, LangGraph, CrewAI, OpenAI, Anthropic , Pinecone, Weaviate, ChromaDB, FAISS COMPUTER VISION & DEEP LEARNING For cases where off the shelf models fall short: • Custom CNNs and Vision Transformers for manufacturing defect detection, medical imaging, and document analysis • Real time object detection and tracking via YOLO, OpenCV, with WebSocket and Edge AI pipelines for live video streams and low latency market data • Model optimization: quantization, pruning, and performance tuning to run heavy models efficiently on edge devices or at cloud scale • Tools: PyTorch, TensorFlow, OpenCV, CUDA, Hugging Face Transformers, MediaPipe AI RESEARCH & MODEL EXPERIMENTATION When standard solutions don't give you the accuracy you need: • Rigorous model evaluation on real-world datasets with reproducible, well documented experiments • Performance benchmarking and ablation studies to identify what actually moves the needle • Turning research outcomes into clean, maintainable production code your team can scale confidently FULL STACK AI DELIVERY I bridge the gap where most AI engineers fail, connecting research grade backends to real user interfaces: • Frontend: Next.js (App Router), React, TypeScript, Tailwind CSS, D3.js instant load dashboards and data UIs • Backend: FastAPI, Django, Node.js robust Python APIs that handle data processing securely at scale • Real time systems: WebSockets and edge pipelines for live data without latency • DevOps: Docker, Kubernetes, AWS auto scaling infrastructure that survives traffic spikes CORE TECH STACK AI/ML: PyTorch · TensorFlow · Hugging Face · CUDA · Scikit learn · XGBoost GenAI: OpenAI · Anthropic Claude · LLaMA-3 · Mistral · Gemini Orchestration: LangChain · LangGraph · CrewAI · LlamaIndex Vector DBs: Pinecone · Weaviate · ChromaDB · FAISS Computer Vision: OpenCV · YOLO · MediaPipe · Albumentations Full Stack: Next.js · React · TypeScript · FastAPI · Django · Node.js DevOps: Docker · Kubernetes · AWS If you are tackling a hard problem that requires more than a plug and play solution, whether that is a production RAG system, a custom vision model, or a full AI powered SaaS, invite me to your job. Let's engineer something that actually works.

Hello. ............ Thank you for viewing my profile I am an Electrical Engineer with excellent knowledge in Machine Learning and Deep Learning also have Two years of experience in Publishing Research Papers.. • I have experience in machine learning/Deep learning-related tasks, prediction-related tasks of classification, and regression using supervised/unsupervised learning. • Great knowledge in Electrical Engineering related Subjects having 3.5 CGPA. • Three Years of Publishing experience in well-known international Journals. • Will provide your work in best suited time without compromising on its quality

Senior Embedded Systems & IoT Engineer | 9+ Years of Innovation I am an Embedded Systems Engineer with deep expertise in industrial IoT, ultra-low power design, and multi-protocol connectivity solutions. My career spans from foundational embedded systems to cutting-edge industrial applications, with a proven track record of delivering breakthrough performance in power optimization and system reliability. Notable Achievements: - 4+ year battery life on LoRaWAN devices (industry-leading performance) - Sub-2µA sleep current optimization in production systems - Safety-critical systems for mining vehicle environmental control - Multi-protocol IoT platforms with adaptive connectivity (WiFi → NBIoT → LoRaWAN) Core Technical Expertise: Industrial IoT & Connectivity: - LoRaWAN protocol mastery with adaptive network joining strategies - Multi-protocol systems: WiFi, NBIoT BG95, Bluetooth LE, CAN Bus - AWS IoT Core integration with SSL/TLS, Lambda functions, and OTA updates - Protocol conversion and data normalization across SigFox, LoRaWAN, and TCP devices Ultra-Low Power Design: - Hardware power leak detection and mitigation techniques - Advanced sleep mode optimization (<2µA achievement) - Battery life modeling and power consumption analysis - Real-time power profiling with tools like Otii-Arc System Architecture & Integration: - Distributed CAN bus systems for safety-critical applications - Computer vision integration with OpenCV for industrial automation - Complex queuing systems with reverse-engineered protocol integration - Medical device development with motion tracking algorithms Development Platforms & Tools: - MCUs: Silabs EFR32, Nordic nRF52, ESP32, STM32, PIC, ATmega series - Languages: C/C++, Python, JavaScript (for IoT data converters) - Cloud Platforms: AWS IoT Core, S3, Lambda functions - Development: SDK development, driver implementation, RTOS integration Industry Experience: - Mining & Industrial Safety: Environmental monitoring and control systems - Healthcare IoT: Motion tracking devices with IMU sensor fusion - Smart Infrastructure: Parking systems, inventory management, production monitoring - Home Automation: Multi-protocol mesh networking and control systems Professional Approach: I excel at transforming complex technical challenges into elegant, production-ready solutions. My experience spans the complete product lifecycle from concept to deployment, including hardware bring-up, firmware development, cloud integration, and field optimization. I've successfully collaborated with international teams and delivered solutions across diverse industries.