Siddharth Rama Sushil Email & Phone Number

Noida, Uttar Pradesh, India

As part of the Veloce team at Addverb, I design advanced navigational robotics systems for intralogistics applications, ensuring seamless integration with existing warehouse infrastructure. My work involves developing efficient path planning and obstacle avoidance algorithms, precise robot localization through sensor fusion, and implementing advanced computer vision techniques to enhance spatial awareness. Additionally, I participate in the onsite installation and commissioning of large-scale robotics projects ensuring smooth transitions from development to operational deployment.

Dehradun, Uttarakhand, India

During my research internship at DRDO's IRDE, I got the opportunity to understand and acquire a range of skills including: * Classical Image Processing: - Implemented modified top hat morphology to enhance and extract relevant features from infrared imagery. - Created and managed custom databases using OpenCV, utilizing essential features such as image thresholding for binary segmentation, contour detection for object identification, and morphological transformations (erosion and dilation) to refine image details and reduce noise.* Deep Learning: - Researched and evaluated state-of-the-art deep learning models for point target detection, focusing on Convolutional Neural Networks (CNNs). - Investigated model limitations and performance characteristics, optimizing CNNs for improved accuracy and robustness in detecting and tracking aerial threats. - Applied techniques for fine-tuning and enhancing model capabilities, including data augmentation, transfer learning, and hyperparameter tuning to tailor the models to specific detection challenges.

Dehradun, Uttarakhand, India

During my summer training at ONGC, I gained a thorough understanding of workover rigs in the oil and natural gas industry. This experience allowed me to focus on one key area; Predictive Maintenance and Real-time Monitoring: I explored using Convolutional Neural Networks (CNNs) to process real-time images and video feeds from the rig. This technology would enable immediate assessment of equipment conditions, allowing for swift intervention and minimizing the risk of major failures.This hands-on experience not only deepened my technical knowledge of workover rigs but also demonstrated how advanced machine learning techniques can drive operational efficiency and safety in the industry.

Bachelor Of Technology - Btech, Mechanical Engineering, Top 5% In Class

Member of Student Senate Coordinator of Music Club: Saaz Gold medalist

High School Cbse, Physics, 12Th Board: 86.6%

Activities and Societies: Represented school in English debates and music competitions.Made a working jet engine model in Wadia Institute.

High School Icse, 10Th Board: 94.8%

Activities and Societies: Member of School choir . Represented school in Creative Writing competitions.