Hi, I’m Rizal—a hybrid IoT & AI/ML Engineer. I specialize in transforming raw, high-velocity telemetry into actionable business intelligence. From spearheading full-cycle HaaS deployments and offline-first embedded systems to architecting LLM-powered RAG assistants, I build robust ecosystems that seamlessly connect edge devices to cloud AI. If you need a scalable, production-ready system, I take extreme ownership of the entire project lifecycle to make it happen. Core Stack: - AI & Backend: Python, SQL, LangChain, TensorFlow, FastAPI, Kafka, Qdrant, PostgreSQL. - IoT & Edge: C++, MQTT, ESP32, Jetson Nano, UART, Modbus. Need a system that actually scales? Let’s build it. Shoot me a message!

As an AI Engineer, I specialize in developing production-ready AI systems and machine learning pipelines. I have hands-on experience with cloud-based ML infrastructure, including AWS SageMaker and GCP, as well as creating autonomous multi-agent architectures using LangChain and Gemini API. One of my key projects involved building a billing automation pipeline that employs advanced technologies like EasyOCR for real-time text detection and a reasoning engine for intelligent data analysis. My focus is on bridging cutting-edge research with practical applications, enabling organizations to tackle complex, high-impact challenges. If you're seeking a forward-thinking engineer who can confidently navigate AI and ML landscapes, I'm eager to discuss how I can contribute to your project.

I specialize in embedded systems and have a solid foundation in electronics and communication engineering. My hands-on experience includes working with microcontrollers, communication protocols, PCB design, and real-time debugging. As a co-founder, I have collaborated on significant projects that integrate firmware development and hardware systems. My goal is to leverage my practical skills and innovative approach to contribute to dynamic engineering projects. Whether you need assistance in firmware development, hardware bring-up, or system integration, I am ready to help bring your concepts to life. Let's connect and explore how I can add value to your next project.

I specialize in developing end-to-end AI systems, leveraging my recent academic background in Computer Science with a focus on Machine Learning and Data Science. My hands-on experience includes everything from data preprocessing to deployment and optimization on both embedded and web platforms. As a Machine Learning Engineer Intern, I have contributed to projects in dynamic startup environments, enhancing my skills in practical AI application. I am eager to apply my knowledge and technical expertise to tackle challenging engineering projects. If you need a detail-oriented professional who can drive your AI initiatives forward, I am ready to collaborate and help bring your vision to life. Let's discuss how I can contribute to your team's success.

I am an Electrical and RF Engineer with over 15 years of experience from Microsoft and Intel. I can help 1. Create Python and Matlab-based models for benchmarking your ideas to show your investors and coworkers. 2. Select the right hardware (ex: CPU, FPGA, and GPU) and Write make-or-buy tradeoff analysis reports. 3. Design Verilog and VHDL (Modelsim) and Python and SystemVerilog Simulation Environment for FPGA/ASIC prototyping for 1st phase of your productization at predictable costs.

Dynamic Applications Engineer with a strong foundation in computer engineering and a proven ability to develop and integrate complex systems. With hands-on experience in leading-edge technology, I bring a blend of technical expertise in embedded systems, software development, and RF component integration.