Vineel Reddy Onteddu
Hyderabad
Summary
Highly accomplished and entrepreneurial Chief Technology Officer (CTO) with over 5 years of experience leading the complete product lifecycle. I possess extensive, hands-on expertise in the full lifecycle development of complex, autonomous robotic systems, particularly within the Agricultural Technology (AgriTech) sector. My proven capability includes leading diverse, cross-functional engineering teams (covering Electronics, Software, Manufacturing, and Procurement), while personally defining product architecture, resolving critical hardware/firmware issues, and designing scalable software solutions. I excel at bridging high-level strategic planning with detailed technical execution, with a strong background in embedded systems, power electronics, robust communication protocols, machine learning, and cloud-connected IoT infrastructure.
Overview
7
7
years of professional experience
Work History
Chief Technology Officer (CTO)
XMachines
09.2022 - Current
- Executive & Strategic Leadership: Led and mentored four technical teams (Electronics, Software, Manufacturing, and Procurement) in the end-to-end development of a fully autonomous, multi-purpose agricultural robot. Defined the product architecture, technology roadmap, and overall engineering strategy.
- Product Vision: Drove critical design decisions, including the strategic shift to high-power tracked robots over wheeled platforms, to guarantee superior performance and traction in field environments. Actively involved in market analysis, unit economics, and business scaling decisions.
- Embedded and Hardware Engineering: Expert in low-level protocols: CAN Bus, UART, I2C, and SPI. Structured the high-reliability communication architecture between the main SBC and the MCU, developed using STM32CubeIDE. Led complex platform execution by personally designing the isolated power electronics system to ensure system stability and optimal performance in a high-power environment.
- Software Architecture & Scalability: Designed the multi-layer software architecture, using ROS on the SBC for data pipeline management. Developed the backend using Node.js, with ORM for automated, schema-based database creation for scaling.
- Real-Time Communication: Implemented MQTT for secure, real-time data transmission to the cloud for analytics, efficiency monitoring, and predictive maintenance. Developed the user interface in React.js, utilizing WebSockets for API calls, and MQTT for command delivery.
- Performance Optimization: Reduced system boot-to-drive time from minutes to seconds by transferring core control loops (PID, Kinematics) to the dedicated STM32 MCU, allowing the onboard SBC to focus solely on complex decision-making, logging, and connectivity.
- Autonomy and Navigation: Engineered and implemented proprietary path generation algorithms for highly precise autonomous control. Achieved accurate operation through sensor fusion techniques, including Kalman filters, integrating data from RTK GPS, IMU, encoders, and a stereo camera.
- DevOps & Operations: Established remote fleet diagnostics and OTA update capabilities using VPN technologies (Tailscale) and integrated 4G connectivity (EC25). Introduced PXE server implementation for mass-flashing Ubuntu on SBCs, significantly reducing production time.
Robotics Embedded Engineer
XMachines
06.2020 - 09.2022
- Global Research Platform Deployment and Support: Managed the end-to-end process for exporting research robots to Australia, Spain, and Bosnia. My responsibilities encompassed PCB design, firmware development, and software integration based on specific user requirements, utilizing diverse sensors such as the SICK TiM240 LiDAR, ZED 2i stereo camera, Dobot M1 Pro robotic arm, and RTK GPS. Post-sale, I provided technical support for debugging, new feature implementation, and research guidance.
- Precision Agriculture Product Development (CNC Weed Spraying): Successfully transitioned a CNC weed spraying prototype into a market-ready product. This involved designing PCBs and writing individual control firmware for 13 solenoid valves to achieve precise on/off timing for liquid control. I worked with the NVIDIA Jetson Nano, developing an AI model for weed and crop detection using transfer learning to minimize data requirements. Model inference time was significantly reduced through TensorRT optimization.
- Electrification of Agricultural Equipment: Spearheaded the initiative to electrify traditional agricultural machinery, including sprayers, rotavators, and grass cutters, as electric alternatives to existing engine-based solutions. My contributions included motor selection, PCB design, power electronics, and overall system architecture definition.
Robotics Developer - Intern
XMachines
05.2019 - 05.2020
- Computer Vision and Robotics Projects
- CNC Weed Spraying Prototype Development: Designed and implemented a proof-of-concept prototype for a system focused on targeted weed spraying. This involved the application of traditional image processing techniques, such as color thresholding and morphological operations, to accurately identify and localize weeds within agricultural images, allowing for precise, automated spraying, and a reduction in overall herbicide use.
- AI/ML Tagging for Weed Identification: Developed a system for semi-automated tagging of weeds in images to build a training dataset for an AI/ML model. The approach leveraged conventional image processing algorithms, including color space analysis (e.g., HSV for green segmentation) and edge detection (e.g., Canny), to generate initial, high-quality masks, and bounding boxes for weeds, significantly accelerating the manual annotation process.
- Autonomous Indoor Navigation System Prototype: Constructed a functional prototype for autonomous navigation within indoor environments. The system integrated multiple sensor modalities: a Raspberry Pi (RPi) for core processing and control, a Light Detection and Ranging (LiDAR) sensor for 2D mapping and obstacle avoidance, an Intel RealSense D435 depth camera for 3D perception and localized object recognition, and an Intel RealSense T265 tracking camera for visual-inertial odometry (VIO) to ensure accurate and robust localization without external infrastructure.
Education
B. Tech - Electronics & Communication Engineering
MLR Institute of Technology And Managment
Hyderabad01.2020
Intermediate - MPC
Sri Chaitanya Junior College
Hyderabad01.2016
CBSE -
DAV Public School
Hyderabad01.2014
Skills
- Programming languages: C, C, Python, Shell scripting, JavaScript
- Embedded and firmware: STM32CubeDE, HAL-based programming, dedicated MCU control loops (PID, kinematics)
- Hardware and platforms: Nvidia Jetson (Nano, NX, Orin Nano), STM32 (F446RE, H755ZI), Arduino, ESP32, NodeMCU
- Protocols and interfaces: USB, UART, I2C, SPI, CAN, GPIO, ADCs, timers, PPM, PWM, MQTT, TCP/IP
- Technology stack: Nodejs, Reactjs, React Native, WebSockets, MySQL
- AI/ML: TensorFlow, TensorRT, model optimization (INT8, FP16), transfer learning, CNNs, semantic segmentation, object detection
- Tools: Git, Bitbucket, Docker, build systems (CMake, Make), Linux services
- Testing and debugging: oscilloscope, logic analyzer, JTAG
Accomplishments
Growth Trajectory: Instrumental in scaling XMachines from a 3-member founding team (including self, starting as an Intern) to a 36-member organization, resulting in a successful transition to commercial product development.
Technical Foundation: For the first two years, personally owned and executed the entire technical stack, including software, firmware, electronics design, PCB design, and fabrication, ensuring the foundation for future scalable products.
Leadership Development: Progressed from intern to Chief Technology Officer, now leading four specialized technical teams including:
Electronics Team: 1 Senior Embedded Engineer, 2 Technicians, 1 Assistant Engineer
Software Team: 1 Full Stack Developer, 1 Front End Developer
Field Testing Team: 2 Field Testing Staff
Procurement Team: 2 Members
Technical Foundation: For the first two years, personally owned and executed the entire technical stack, including software, firmware, electronics design, PCB design, and fabrication, ensuring the foundation for future scalable products.
Leadership Development: Progressed from intern to Chief Technology Officer, now leading four specialized technical teams including:
Electronics Team: 1 Senior Embedded Engineer, 2 Technicians, 1 Assistant Engineer
Software Team: 1 Full Stack Developer, 1 Front End Developer
Field Testing Team: 2 Field Testing Staff
Procurement Team: 2 Members
Languages
English
Proficient (C2)
C2
Hindi
Proficient (C2)
C2
Telugu
Native
Native
Timeline
Chief Technology Officer (CTO)
XMachines
09.2022 - Current
Robotics Embedded Engineer
XMachines
06.2020 - 09.2022
Robotics Developer - Intern
XMachines
05.2019 - 05.2020
B. Tech - Electronics & Communication Engineering
MLR Institute of Technology And Managment
Intermediate - MPC
Sri Chaitanya Junior College
CBSE -
DAV Public School