I have a lot of experience in wireless communication theory and design. I can help in DSP and wireless design, simulation and implementation. I can also offer tutorials and lecturing on electrical engineering subjects. I am also good at technical, thesis and research writings.

👋 Hi, I'm Waseem Sajjad – Robotics Engineer | ROS/ROS 2 Developer | UAV Systems | Computer Vision | Product Design Specialist I’m a Mechatronics Engineer with deep hands-on experience in robotics, computer vision, embedded systems, and UAV platforms. I specialize in building full-stack robotic systems — from low-level hardware interfacing to high-level autonomy — using ROS/ROS 2, Gazebo, Isaac Sim, and flight control firmware like PX4 and ArduPilot. Whether it’s a mobile robot, robotic manipulator, underwater vehicle (ArduSub), quadcopter, or IoT-enabled system, I can help bring your ideas to life with robust code, real-time performance, and clean architecture. ✅ What I Can Do For You: 🤖 Robotic Systems Development Navigation with ROS/ROS 2 (Nav/Nav2) SLAM (2D/3D) using LiDAR and RGB-D cameras Fleet adapters for RMF Sensor fusion & Kalman filtering Transformable robot kinematics & motion control Simulation in Gazebo Harmonic, Fortress, Classic, and Isaac Sim 🧠 Computer Vision & Perception Stereo camera processing (OpenCV, ROS Image Pipeline) Object detection & pose estimation Feature tracking (SIFT, SURF, ORB) 3D mapping & point cloud processing DXF shape matching & template recognition 📡 Embedded & IoT Systems Sensor/Actuator integration: IMUs, depth cameras, LiDAR, etc. Real-time control with STM32, Arduino, ESP32 Wireless communication: TCP/IP, Wi-Fi, P2P ROS 2 networking over LAN and Internet 🚁 UAV, Drone & Underwater Systems PX4 and ArduPilot firmware configuration Flight control tuning for Copter, Rover, ArduSub Offboard control using ROS 2 + MAVROS Drone-based vision & SLAM pipelines Sensor integration for UAVs (barometers, GPS, rangefinders, etc.) ⚙️ Tools & Technologies ROS 2 (Iron, Humble, Galactic) | Python, C++ OpenCV, RealSense SDK, RTAB-Map, SLAM Toolbox Gazebo, RViz, Isaac Sim Micro-ROS, MAVROS, PX4, ArduPilot VS Code, Git, Docker 🏆 Why Work With Me? I build reliable, well-documented, and scalable robotics software. I’ve worked on both academic and industry-level projects and bring a clear understanding of real-world constraints. You’ll find me responsive, communicative, and focused on delivering results that matter. Let’s work together to build the future of robotics. 🚀

I help teams build reliable ROS2 systems and robot simulations. I am a Robotics Software Engineer with 3+ years of professional experience building, deploying, and debugging robotic systems. My background spans: ✅ Core Expertise: • ROS 2 development (nodes, launch systems, integration with hardware & sensors) • Simulation with Gazebo, Isaac Sim, Unreal, and custom physics setups • Robot modeling (URDF/Xacro, meshes, kinematics, dynamics) • Motion planning & control (Nav2, RRT, trajectory generation, MPC, PID tuning) • Perception integration (LiDAR, camera pipelines, YOLO based detection, sensor fusion) • Deployment on NVIDIA Jetson, Intel NUC, and embedded Linux boards • CI/CD pipelines, Dockerized environments, and reproducible builds for robotics ✅ What I Deliver: • Clean, maintainable C++/Python code that follows modern practices • Robust ROS 2 environments that save teams weeks of setup/debugging • End-to-end pipelines: simulation → testing → deployment on hardware • Documentation & handover so your team can build confidently on top ✅ Why work with me: • Strong academic + industry background (IIT Ropar, MathWorks, ROSCon speaker). • I have deployed robotics projects in simulation (Gazebo/Unreal) and on real robots. • I have contributed to the ROS ecosystem (Nav2, ROS 2 tools). • My clients get not just code, but production level reliability and fast iteration. Whether you are a startup building a new robot, a lab running experiments, or a team struggling with ROS 2 deployment, I can help you get from prototype to production. Let's talk about your project, I will respond within 24 hours.

I am an Electrical Engineer with more than 5 years of experience in the area of wireless telecommunications and data science. During my professional experience I have had the opportunity to join work teams, as well as to form work teams from scratch, always giving the best of me in each task entrusted and providing work capacity. This has helped me to be a creative person, with excellent communication skills for project management and proper management of staff. My main areas of expertise are: - Python - Matlab - Writing scientific documents using LaTeX. - Image and signal processing, include: multispectral and hyperspectral images. - Machine learning It should be noted that due to my technical background, I have a wide experience in reading, writing and translating scientific and technical texts.

I am a Computer Engineer with an MS degree in Digital Systems and Signal Processing. During my academic career, I specialized in the design and development of tools for: Signal processing, feature extraction, and pattern recognition Time-frequency analysis and convolution Linear & nonlinear filtering for 1D signals and 2D images, Radar signal processing and real time implementation, EEG signal processing and brain–computer interface applications Image classification and computer vision I have over 5 years of experience working in both research and teaching laboratories, focusing on digital signal processing, EEG analysis, machine learning, and data-driven system development. My technical expertise includes Python and MATLAB, with practical experience in libraries such as Scikit-Learn, SciPy, TensorFlow, Pandas, Keras, Seaborn, and NumPy. Currently, I am working as a Senior Design Engineer in a Research and Development organization. My role involves designing and developing FPGA- and processor-based embedded systems for high-frequency digital radar signal processing, using tools such as Xilinx Vivado, Vitis, and TI Code Composer Studio. Areas I can help with: Digital Signal Processing & Filter Design Radar Signal processing EEG Signal Processing & Brain–Computer Interfaces Data Analysis & Machine Learning Embedded DSP Systems (FPGA/Processor-based) Computer Vision & Image Processing

I develop embedded electronic systems that combine Digital Signal Processing, power electronics, circuit and PCB design, firmware, motor control, and machine learning—from low-frequency audio and vibration analysis, digital filters, FFT, feature extraction, and pattern recognition to inverters, converters, motor drivers, and real-time microcontroller implementation. My expertise includes: • Embedded systems development using STM32, ESP32, AVR, nRF52, and Arduino-compatible platforms • Low-frequency audio and vibration signal processing • IIR/FIR digital filter design, FFT analysis, cross-correlation, feature extraction, and noise reduction • Pattern recognition, anomaly detection, condition monitoring, and predictive maintenance • Machine-learning model development using neural networks and support vector machines • Power electronics, including inverters, DC-DC converters, battery and supercapacitor chargers, and BMS • BLDC, stepper, servo, and closed-loop motor-control systems • Analog circuit design, sensor interfacing, data acquisition, schematic design, and PCB layout I focus on delivering reliable, practical, and manufacturable solutions with clear communication and thorough documentation.

Electrical Design | Embedded Systems | IoT | Arduino | Biomedical Devices | Circuit Simulation I'm Safee Ullah, an Electrical and Biomedical Engineer with five years of freelancing experience, currently pursuing a Master's in IT. I specialize in circuit design, embedded systems, IoT development, and biomedical technology integration. With a solid technical foundation and a results-driven approach, I deliver innovative, precise, and reliable engineering solutions tailored to your project goals.

🌟 Senior AI Integration and automation expert🌟 Top 0.03% ElevenLabs Specialist on Upwork | 🌟 100% Job Success | 🌟 Production AI Voice, Agents & Automation I build AI voice agents, AI automation, and RAG systems that take repetitive work off your team's plate, the kind of infrastructure that answers calls 24/7 in a natural voice, publishes listings across multiple portals automatically, and turns thousands of files into a searchable AI knowledge base. The systems I ship run for months without breaking in week 3. What that has looked like in real builds: ✅ Multi-portal real estate auto-poster running at production scale across Corotos, Mercado Libre, and SuperCasas ✅ A RAG pipeline that processed 30,000+ records into instant semantic search ✅ Low-latency voice agents tuned for natural, real-time conversation (Deepgram + Claude + ElevenLabs) ✅ 100% Job Success across 34 Upwork projects since 2022 I work as a hands-on technical partner: system design, architecture, deployment, and long-term optimization. No half-shipped automations, no brittle Zaps, no hand-off without documentation. Self-healing logic, idempotent retries, audit trails, and screenshot-based debugging are baked in from day one. RECENT FLAGSHIP SYSTEMS: ⭐️ Real-Time AI Voice Agent: Low-latency assistant, Deepgram (STT) + Claude/LLM brain + ElevenLabs (TTS), hybrid architecture for natural real-time conversation. AI receptionist, front desk, and mentor use cases. (Deepgram, ElevenLabs, Claude, Retell AI, Twilio) ⭐️ Real Estate Portal Auto-Poster: Publishes listings on Corotos, Mercado Libre, and SuperCasas. Anti-bot, CAPTCHA-aware, idempotent. (Stagehand, Playwright, Browserbase, n8n) ⭐️ Nextcloud-to-RAG Document Intelligence: 4-workflow pipeline extracting PDFs, DOCX, images, audio, and video into vector search. (n8n, pgvector, Mistral OCR, Whisper) ⭐️ Multi-Agent AI Systems: Multi-model routing that keeps long-running agentic workflows cheap and reliable. (Claude API, LangChain, MCP) ⭐️ Anti-Bot Marketplace Automation: Durable execution for sites that punish naive scrapers. (Browserbase, residential proxies, Inngest) CORE SPECIALTIES: Voice AI & Conversational AI | AI Agent Development | RAG & Vector Search | n8n Workflow Engineering | Browser Automation | Claude AI & LLM Integration | Document Intelligence & OCR | CRM & GoHighLevel Automation | API Integrations TECH STACK: Voice AI: ElevenLabs, Deepgram, Retell AI, Vapi, Whisper, Twilio Programmable Voice AI Agents & LLMs: Claude API, OpenAI, GPT-4, Gemini, LangChain, LangGraph, CrewAI, MCP, Multi-Agent Orchestration, Prompt Engineering Vector & RAG: pgvector, Pinecone, Weaviate, ChromaDB, Supabase, FAISS Workflow Orchestration: n8n, Make, Zapier, Inngest, Webhook Architecture, Queue Systems Browser Automation: Playwright, Stagehand, Browserbase, Puppeteer Backend: Node.js, TypeScript, Python, FastAPI, Flask, REST APIs OCR & Document Intelligence: Mistral OCR, Tesseract, Whisper transcription CRM & Integrations: GoHighLevel, HubSpot, Salesforce, Slack, Notion, Google Workspace, WhatsApp Business API Data & Cloud: PostgreSQL, MongoDB, AWS, Docker, Git, CI/CD, Vercel ALSO SKILLED IN: AI Voice Agent, AI Receptionist, AI Front Desk Agent, Conversational AI, Voice Bot, Speech-to-Text, Text-to-Speech, Agentic AI, Autonomous Agents, AI Copilot, LLM Integration, Function Calling, Tool Calling, RAG Chatbot, Agentic RAG, GraphRAG, Hybrid Search, Semantic Search, Vector Database, AI Chatbot Development, WhatsApp AI Automation, Business Process Automation, No-Code Automation, Workflow Automation, API Integration, Webhook Automation, Generative AI, ChatGPT API, Fine-Tuning, AI Knowledge Base, Document Processing, OCR Automation, Lead Generation Automation, AI App Development INDUSTRIES I SERVE: Real Estate & PropTech, Healthcare, E-commerce, Customer Support, Professional Services, Logistics, and Operations teams that want voice agents and AI automation that actually ship. If your phones go unanswered after hours, your listings sit unposted, your document archive is unsearchable, or your scraping bot breaks every other week, that is the gap I close. Send a message describing your goal and I'll send back an architecture diagram before we even talk pricing.

I am an MLOps specialist and researcher with a PhD in electrical engineering and computer science from York University, focusing on deploying and optimizing machine learning systems across different scales - from TinyML to large language models. My expertise lies in implementing end-to-end MLOps practices for complex ML applications, particularly in time series analysis and efficient model deployment. In my current role at Huawei, I architect robust CI/CD pipelines for ML models, automate deployment workflows, and design scalable infrastructure for data processing and model training. I have extensive experience optimizing models for resource-constrained environments through TinyML, as well as managing and fine-tuning large language models for production environments. I specialize in developing and deploying ML systems across different computational scales, from edge devices to cloud infrastructure. Using technologies like Docker and Kubernetes, I implement containerized solutions that ensure consistent model performance across diverse environments. My expertise spans modern ML frameworks and tools including Python, Julia, TensorFlow, and major cloud platforms. A significant part of my work involves designing monitoring and observability systems for ML models in production, with particular attention to time series forecasting applications and LLM deployment optimization. I build robust logging systems that track model performance, drift, and resource utilization across different deployment scenarios. Previously, I served as a Teaching Assistant at York University, where I taught advanced algorithm design and analysis to undergraduate students, developing my ability to communicate complex technical concepts effectively. 🚀 Why Hire Me: 🎓 I am a postdoctoral researcher with years of industry experience working with cutting-edge technologies including Huawei. After gaining significant expertise in industry, I have returned to academic research and innovation to capitalize on opportunities emerging in the AI age. 💻 Beyond my technical expertise, I bring substantial computational resources to the table. I maintain my own high-performance GPU infrastructure featuring RTX 5090, 4090, and 4070 cards. I can support your research and engineering initiatives, including R&D projects, using my own infrastructure and covering the associated costs. ⭐ This unique combination of postdoctoral research rigor, industry experience, cutting-edge technology knowledge, and personal computational resources makes me an ideal partner for ambitious research and development projects.

Optical engineering | Lens design | Optical system design I worked as an optical engineer in the semiconductor industry for five years, focusing on the design and development of optical systems spanning the UV to NIR range, with a specialization in photoluminescent imaging and optical metrology. Recently, I relocated to Sydney, Australia, to pursue a PhD in astronomical optical instrumentation. Over the past 7+ years, I have gained extensive experience in optical design (including Zemax OpticStudio and scripting) and hands-on lab work from proof of concept, through design and tolerancing, to product delivery. My skillset includes optical system and lens design, microscopy, lab prototyping, optical metrology, Python programming, and working with lasers.