Shitikantha Bagh
Research Assistant @ North Carolina State University
About
As a passionate engineer with expertise in Machine Learning, Robotics, and Computer Vision, I am driven by the desire to solve real-world challenges through innovative technology. With a Master's degree in Electrical Engineering from North Carolina State University, I have honed my skills in advanced algorithms, system integration, and project management. Key Highlights Research Excellence: Conducted pioneering research in Visual SLAM, autonomous systems, and semantic segmentation, contributing to advancements in robotics and computer vision technologies. Project Leadership: Successfully led and contributed to complex projects, including the development of robotic systems for ABU Robocon, real-time autonomous welding systems. Technical Proficiency: Proficient in programming languages such as Python and C++, and experienced with frameworks and libraries including TensorFlow, PyTorch, OpenCV, ROS, and more. Hands-on experience with deployment on edge devices like Jetson Nano and utilizing tools like Docker, Kubernetes, and AWS. Industry Impact: Developed and optimized machine learning models and pipelines for electric vehicle applications at Larsen & Toubro Technology Services, ensuring high-quality data annotation and model performance. Collaborative Innovation: Proven ability to work effectively within cross-functional teams, delivering high-quality and timely results on complex technical projects. Technical Skills Programming: Python, C++, MATLAB, C, JAVA Frameworks: TensorFlow, PyTorch, ROS, OpenCV Tools: Docker, Kubernetes, AWS, Jenkins, MLFlow My professional journey is characterized by a continuous pursuit of knowledge and a commitment to driving technological innovation. I am eager to contribute my expertise to dynamic and impactful projects in the fields of Robotics, Machine Learning, and Computer Vision. Let's connect and explore how we can collaborate to shape the future of technology.
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United States
Research
Bayesian Optimization, Optimal Control, Circuit Design, Control Engineering, Technical Documentation, Computer-Aided Design (CAD), Java, Programmable Logic Controller (PLC), Beckhoff TwinCAT, EtherCAT, Proportional-Integral-Derivative (PID), PLC Programming, Structured Text, Artificial Neural Networks, Data Analytics, CUDA, Signal Processing, Neural Networks, Product Strategy, Product Management
Experience

Research Assistant
Raleigh, North Carolina, United States
Construction Automation and Robotics Lab Project: Construction Progress Monitoring through BIM and 360 camera data alignment • Implemented ORB features based Visual SLAM for 3D mapping and reconstruction using a 360-degree camera • Incorporated robust fiducial markers (ArUco) detection and bundle adjustments enhancing VSLAM accuracy by 20% • Reduced pose estimation error by 40%, applying Kabsch algorithm for precise alignment of mesh and point cloud model Real-Time Autonomous Welding System • Implemented state-of-the-art deep learning models U-Net, BiSeNet for semantic segmentation, with mean IoU of 96% • Accelerated model inference by 40% using CUDA and TensorRT, deploying on Jetson Nano to achieve 105fps • Curated and augmented 1500 welding joints images, employing k-fold validation boosting model accuracy by 10% • Integrated vision system with robotic arm control, improving real-time welding precision by 15% • Modelled and 3D printed a custom mount to securely hold the welding and vision system to the robotic arm

Graduate Student Researcher
Real-Time Intelligent Systems Lab Project : Automated Bar Hanging with 7 Dof robot arm • Implemented stereo camera callibration, and DBSCAN for point cloud clustering and object segmentation • Applied ICP for point cloud-CAD registration, developed custom pinhole detection, enhancing grasp accuracy by 30% • Optimized MoveIt for ROS2 improving robotic arm motion accuracy by 15%, validated through Gazebo simulations

Research Assistant
Research Assistant at Neuromuscular Rehabilitation Lab Project : Robotic Prosthetic Leg • Implemented PID based joint control using Beckhoff PLC for knee and ankle actuation in a robotic prosthetic leg • Analyzed frequency response and optimized control loops, reducing system overshoot by 15% • Processed and analyzed the test data collected in the TwinCAT XAE Datalogger platform to derive research insights • Configured EtherCAT communication between the robotic system and sensors for closed-loop motion feedback

Graduate Student Researcher
Graduate Student Researcher at Construction Automation and Robotics Lab : Working on developing an autonomous vehicle with target object detection capability Developed the communication between NVIDIA Jetson Nano and the autonomous bot microprocessor

Co-Founder
TechNext Creations 3D
Bargarh, Odisha, India
• Drove product strategy and development for 15+ products, managing full lifecycle from ideation to launch • Developed data-driven dashboards using Power BI, improving decision-making efficiency by 20% • Implemented customer segmentation models, enhancing targeted marketing strategies and boosting sales by 25% • Optimized supply chain and inventory management, reducing operational costs by 15%

Engineer
Bengaluru, Karnataka, India
• Developed annotation pipelines with cross-functional teams, saving $15k in costs and 3 months early completion • Managed a team of 30, ensuring 98% annotation accuracy for 10K+ images in an autonomous vehicle project • Developed real-time Power BI dashboards, improving project tracking, KPIs, and financial performance monitoring • Structured cross-functional teams based on task specialization and implemented Scrum practices, accelerating project delivery by 20% • Conducted weekly client meetings, collecting feedback and incorporating process improvements, improving project turnaround by 15% • Conducted risk analysis and mitigation planning, ensuring zero project delays due to quality or compliance issues • Managed escalation tracking and resolution, documenting bottlenecks and implementing corrective measures • Worked closely with senior leadership and solution architects, aligning annotation strategies with overall project goals

Secretary
VSSUT,Burla,India
Teaching robotic topics and mentoring junior members Team Leader for various events Projects Planning and Management Alumni Engagement Financial Management and Audit Coordinated the annual technical fest of our University Showcasing projects to government officials
Education

Electrical Engineering
Specializing in Robotics and Computer Vision. ECE 763 - Computer Vision ECE 759 - Pattern Recognition ECE 542 - Neural Networks and Deep Learning CSC 591 - Hardware/Software Co-Design for Intelligent Systems (Embedded ML) ECE 558 - Digital Imaging Systems ECE 556 - Mechatronics ECE 555 - Computer Control of Robots ECE 518 - Wearable Bio Sensors and Micro systems ECE 542 - Random Process ECE 634 - Individual Study under Dr. Kevin Han (Study on real-time autonomous welding robot)
Shitikantha Bagh's Contact Information
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