Hire the Best Embedded Systems Engineers
in Nepal

I'm a robotics and AI engineer finishing my degree in Electronics, Communication and Information Engineering, and I build complete, working systems rather than isolated demos — the kind of engineering where the hard part usually isn't the algorithm, it's making unreliable hardware and undocumented protocols behave. That pattern runs through my recent work: Agribot — an autonomous ROS2 farm rover: SLAM (slam_toolbox) and Nav2 navigation, EKF sensor fusion combining wheel odometry and IMU data, a Raspberry Pi Pico micro-ROS agent handling low-level motor/encoder control, a 5-DOF arm for soil probing and image capture, and a Hailo-8L-accelerated vision pipeline for real-time crop-row detection. GarudX SkyReaper — an AI surveillance drone platform built for a government security bid. I was lead Android & integration developer on a small team: a Kotlin/Jetpack Compose ground-control app driving a SIYI gimbal and AI tracking module over their SDK's binary TCP/UDP protocol, a standalone RTMP relay service, and the network/system integration holding the Raspberry Pi 5 AI compute, gimbal, and ground station together as one reliable system. Along the way: SDK integration across SIYI (gimbal, camera, AI tracking module), Raspberry Pi + Hailo AI accelerator, Raspberry Pi Pico (micro-ROS), and ESP32 — usually starting from nothing but a vendor protocol doc. What I bring beyond the tech stack: I default to reading the vendor documentation and testing assumptions myself rather than guessing, I write down what breaks and why so I don't re-debug the same failure twice, and I'd rather confirm a small piece works before building the next layer on top of it than discover a wrong assumption three steps later. On SkyReaper that habit is what caught things like a single mistyped IP address silently routing every telemetry packet to the wrong device, and a TCP read pattern that was quietly dropping 29 out of every 30 packets. I work daily in Python (ROS2 nodes, OpenCV, ONNX/Hailo inference) and have solid, practical C++ and Kotlin from embedded and integration work. If you're bringing a new robot platform's SDK into a ROS2/Python stack, that's exactly the kind of problem I like — vendor docs, binary protocols, hardware that doesn't behave the way the datasheet says it will. I'm looking for ROS2 development, SDK/driver work for robot platforms, sensor fusion, or computer vision on embedded hardware — happy to start with a smaller task first so we can confirm fit before a longer engagement.

As an Electrical/Electronics Engineering graduate and passionate IoT/AI enthusiast, I bring nearly seven years of hands-on experience in embedded systems, Arduino, ESP, and sensors. Throughout my career, I have adeptly coded microcontrollers, including Arduinos, ESP Family, STM32/GD32, and Raspberry Pi, seamlessly integrating them with various hardware modules such as RFID, GSM, Bluetooth, GPS, and LCDs. I have spearheaded core electrical engineering projects leveraging advanced machine learning algorithms like Decision Trees and Clustering for system optimization and efficient design. My proficiency extends across programming languages including C/C++, Python, and MATLAB, enabling me to tackle diverse challenges easily. Additionally, my expertise encompasses a wide array of domains ranging from probability and statistics to signal analysis, digital logic design, power system analysis, and more. I boast strong proficiency in MS Office tools, leveraging them adeptly for comprehensive project documentation. Notable projects in my portfolio include: - Disaster minimization through Home automation - Efficient islanding detection techniques - Clustering analysis for power grids - WiFi-based relay control system - Client-server message exchange utilizing the HTTPS button - MQTT pump controller implementation - Energy meter data logging solutions - Automatic flushing system design for settling basins With a blend of theoretical knowledge and practical skills, I am poised to deliver innovative solutions and drive excellence in the field of embedded systems and IoT.

Hi! I am a skilled Electronics and Robotics Engineer with extensive experience in Embedded Systems, PCB Design, IoT Solutions, and Rapid Prototyping. I specialize in designing, developing, and optimizing cutting-edge hardware and firmware solutions for a wide range of applications. My expertise includes: ✔ Embedded Systems Development (ARM, AVR, PIC, ESP32, STM32, Raspberry Pi, Arduino) ✔ Custom PCB Design & Layout (Altium Designer, KiCad, Eagle, OrCAD) – Schematic Capture, High-Speed & Multi-layer PCB Design ✔ Robotics & Automation (Motor Control, Sensor Integration, ROS, Autonomous Systems) ✔ IoT & Wireless Solutions (Wi-Fi, BLE, LoRa, Zigbee, MQTT, Cellular IoT) ✔ Firmware Development (C/C++, Python, RTOS, Bare-Metal Programming) ✔ Prototyping & Product Development (3D Printing, CNC, Circuit Debugging, DFM) ✔ Power Electronics & Signal Processing (SMPS, Battery Management, ADC/DAC, Filters) I provide end-to-end solutions—from concept design and simulation (Proteus, LTspice, MATLAB) to prototyping and production-ready PCB fabrication. Whether you need a smart IoT device, a robotic system, or a high-performance embedded solution, I can deliver efficient, scalable, and cost-effective results. Let’s collaborate to bring your ideas to life! Why Hire Me? ✅ Proven Track Record – Successfully delivered 50+ projects in embedded systems, robotics, and IoT ✅ High-Quality & Reliable Designs – Optimized for performance, cost, and manufacturability ✅ Fast Turnaround & Clear Communication – On-time delivery with regular updates ✅ Problem-Solving Approach – Debugging and optimizing complex electronics systems Ready to discuss your project? Let’s connect!

I am an Embedded System Engineer with a bachelor's degree in Electrical Engineering. I have been working at the electric vehicle manufacturing company for about 6 years now, as an Embedded Systems Designer lead, which has equipped me with quite a strong foundation in microcontroller architecture and programming, firmware development, PCB design, and system integration. I also have experience in designing the ECU( Electronic Control Unit) and VCU ( Vehicle Control Unit) for electric vehicles and CMS ( Charger Management System) for 30-120 kW DC as well as AC charging stations. Besides that, I also have insights into designing and testing the circuit with EMI and EMC compatibility and sustainability.

𝗔𝗜 / 𝗡𝗟𝗣 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 | 𝗥𝗔𝗚 & 𝗟𝗟𝗠 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 | 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵-𝗕𝗮𝗰𝗸𝗲𝗱 𝗔𝗜 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 I am an AI and NLP Engineer and published research paper author, specializing in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and applied NLP systems. My work focuses on accuracy, evaluation, and real-world deployment, particularly for domain-specific and low-resource language applications. I work at the intersection of research and production engineering—designing AI systems grounded in peer-reviewed methods, validating them with rigorous evaluation, and delivering production-ready solutions rather than experimental demos. I am the winner of the AIDEA National-Level AI Hackathon, where my project NepSAUL was recognized for technical depth and real-world impact. The project was subsequently selected for angel investment seed funding, validating its practical and commercial viability. 𝐑𝐄𝐒𝐄𝐀𝐑𝐂𝐇 & 𝐏𝐔𝐁𝐋𝐈𝐂𝐀𝐓𝐈𝐎𝐍𝐒 (𝐀𝐔𝐓𝐇𝐎𝐑) • Profanity and Offensiveness Detection in Nepali Social Media Using Bi-directional LSTM Models 21st International Conference on Natural Language Processing (ICON 2024) • Evaluating Sentence Embedding Models for Nepali Sentiment Analysis National Conference on Computer Innovation 2025 • Retrieval-Augmented Generation Framework for the Nepali Legal Domain Question Answering (Under Review) 𝐂𝐎𝐑𝐄 𝐄𝐗𝐏𝐄𝐑𝐓𝐈𝐒𝐄 𝗥𝗔𝗚 & 𝗟𝗟𝗠 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 • Designed and implemented NepSAUL using 10,000+ real court case documents • Hybrid retrieval using BM25 + dense embeddings • Achieved 91% Precision@1 in low-resource legal data • Grounded generation with LLM-as-Judge and expert review 𝗡𝗮𝘁𝘂𝗿𝗮𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 • Sentiment analysis, text classification, profanity detection • Created and annotated 11,000+ real-world Nepali samples • Noisy, multilingual, domain-specific data handling 𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 • Python, FastAPI, production inference APIs • Research to production model transition • Maintainable and evaluation-driven architectures 𝐓𝐄𝐂𝐇𝐍𝐈𝐂𝐀𝐋 𝐒𝐊𝐈𝐋𝐒 • Python, C++, JavaScript • LangChain, Hugging Face, Multilingual BERT, Bi-LSTM • BM25, FAISS, Pinecone • TensorFlow, Keras, Scikit-learn • FastAPI, Flask 𝐖𝐇𝐘 𝐂𝐋𝐈𝐄𝐍𝐓𝐒 𝐂𝐇𝐎𝐎𝐒𝐄 𝐌𝐄 • Research-backed engineering decisions • Clear and transparent communication • Production-focused system design • Honest feasibility assessment 𝐀𝐕𝐀𝐈𝐋𝐀𝐁𝐈𝐋𝐈𝐓𝐘 If you are building a high-accuracy RAG system, LLM-powered research tool, or NLP pipeline using real-world data, I am available to review requirements and propose a technically sound architecture.

Hi, I’m Surendra 👋 For a long time, I lived happily in the world of web development — building websites, fixing bugs, fighting CSS, and occasionally asking JavaScript why it had betrayed me. 😄 Then curiosity got dangerous. I started wondering: What happens below the browser? What is the operating system actually doing? How does software talk to hardware? Why does a tiny embedded device sometimes feel more complicated than an entire website? And that curiosity slowly pulled me deeper. So I decided to shift my focus from Web Development → Systems & Embedded Software Engineering. Now, instead of only asking: “Why is this button not centered?” I’m much more interested in: “Why is this process consuming memory, what is happening at the OS level, and why is the hardware behaving like it has its own personality?” 😅 ⚙️ What I’m Exploring & Building Systems-level software Embedded software development C / C# programming Operating systems & system internals Hardware-software integration Device communication & interfaces Memory, performance & debugging Reliable and maintainable software architecture The goal isn’t to forget everything I learned from web development. It’s actually the opposite. My web background taught me how to build for users, think about architecture, solve real problems, and ship working products. Now I’m taking that experience deeper into the stack — closer to the OS, memory, processes, devices, and hardware. 🌐 Open Source & Community I’m also passionate about: Contributing to open source Building and growing 0x9 Learning from engineers who know more than me Sharing what I learn along the way Creating communities where people can experiment, build, break things, fix them, and learn together 💡 What I Believe In Strong engineering over quick hacks Understanding how things work, not just making them work Performance, reliability, and maintainability Clear communication and long-term collaboration Continuous learning Breaking things in development so users don’t break them in production 😄 Building technology that solves real problems I’m still on the journey, still learning, still debugging — probably always will be. But that’s exactly what makes engineering interesting. Today it might be a web application. Tomorrow it might be an operating system component, an embedded device, or software talking directly to hardware. Either way, I’ll probably still be staring at an error message wondering: “Who wrote this?” …and then remembering it was me. 😂 Always happy to connect with people working in Systems Software, Embedded Systems, Operating Systems, Hardware Integration, C/C#, Open Source, and low-level engineering. Let’s build something interesting.