Ayodhya

Senior Research Engineer

Vegas • Full-time

May 2022 - Present • 4 yrs 3 mos

I am a multidisciplinary engineer specializing in the development of advanced machine learning driven applications and high performance electronic systems for precision agriculture. With a strong foundation in Data Science, Artificial Intelligence, and Electronics Engineering, I bring an integrated approach to solving real-world agricultural challenges through intelligent, data-centric solutions. My work focuses on designing and deploying end-to-end systems that combine embedded hardware with predictive analytics. I have developed smart agricultural monitoring devices capable of measuring key environmental and soil parameters such as Electrical Conductivity (EC), pH, and Total Dissolved Solids (TDS). My contributions span the complete product lifecycle, including firmware development, PCB design, system integration, rigorous unit testing, and product-level optimization. In parallel, I design and implement machine learning models tailored for agricultural environments, including time-series forecasting and sensor data analysis. My experience includes building custom deep learning architectures, optimizing model performance, and integrating these models into real-time systems for actionable insights. Additionally, I have worked extensively on power systems and renewable energy integration projects, leveraging tools such as OpenDSS and Python to simulate and analyze distribution networks, evaluate hosting capacity, and incorporate stochastic methods like Monte Carlo simulations. This experience strengthens my ability to design scalable, efficient, and sustainable technology solutions. Driven by a passion for innovation, I aim to bridge the gap between intelligent software and robust hardware, enabling next-generation precision agriculture systems that are efficient, reliable, and impactful.