I'm an enthusiastic and self-driven engineer with a deep passion for robotics, autonomous systems, and AI. My hands-on work spans computer vision pipelines, multi-sensor fusion, deep learning, and full-stack development.
I actively build robotics-aligned projects using ROS2, SLAM, path planning, and sensor fusion — while also developing end-to-end applications using the MERN stack. I leverage generative AI and prompt engineering to accelerate development and creative problem-solving.
My goal is to grow as a robotics and AI engineer, contribute to impactful real-world projects, and collaborate with teams building the next generation of autonomous and intelligent systems.
ROS2, SLAM, path planning (A*, RRT*), EKF-based state estimation, and motion planning for real-world robots.
YOLOv8, OpenCV, ArUco markers, pose estimation, face recognition, and deep learning model deployment.
AWS, Azure, MERN stack development — bridging intelligent algorithms with reliable, user-friendly applications.
Google (AI/ML) and Juniper Networks (Cloud Networking) — practical industry exposure in cutting-edge domains.
A strong academic foundation across engineering, mathematics, and computing.
Sreenidhi Institute of Science & Technology, Hyderabad
CGPA: 7.19 / 10Sri Vivekananda Junior College, Nalgonda, Telangana
96.5%ZPHS Pochireddypally, Nalgonda, Telangana
GPA: 9.3 / 10A broad technical stack spanning robotics, AI/ML, cloud, and web development.
Hands-on robotics and AI projects spanning autonomous navigation, vision systems, and full-stack applications.
Developed an Extended Kalman Filter (EKF)-based sensor fusion system for 2D robot localization by integrating IMU and visual odometry measurements in a predict-update framework. Implemented motion and observation models, realistic sensor noise simulation, and covariance tuning to improve localization accuracy and reduce drift in simulated autonomous navigation scenarios.
Built and benchmarked A* and RRT* algorithms for 3D obstacle-aware path planning in simulated drone environments. Implemented heuristic optimizations that significantly reduced computation time while maintaining path quality in cluttered spaces.
Built a real-time perception pipeline using YOLOv8 and SSD for object detection, with OpenCV for grasp point localization. Transmitted detected coordinates to a robotic arm controller, implementing a complete vision-to-action pipeline suitable for warehouse automation.
Implemented a 6-DOF pose estimation system using OpenCV's ArUco detection and solvePnP with camera calibration. Achieved <2mm translation and <0.5° rotation error, enabling applications in robotic manipulation and AR overlay systems.
Developed a visual servoing simulation for a 2-link robotic arm using image-based feedback control for real-time target tracking. Implemented forward and inverse kinematics for accurate end-effector positioning, integrated a virtual camera system for target coordinate extraction, and applied closed-loop control to achieve smooth and continuous robotic arm motion within the workspace.
Designed and built an autonomous line-following robot using Arduino and IR sensors. Programmed motor control logic via PWM signals through an L298N motor driver for smooth navigation. Implemented closed-loop autonomous control from sensor acquisition to actuator response.
Built a full-stack automated attendance system using deep learning face recognition (FaceNet/dlib) achieving 97%+ accuracy. Integrated a real-time alert system and analytical dashboard, reducing manual marking time by 90% with a scalable MERN backend.
Industry-recognised certifications across robotics, cloud, AI/ML, and software development.
Coursera · Northwestern University
Oct 2025 – Ongoing · Course 1 & 2 Completed
micro1 · Aspiring Robotics Engineer
May 2026 · ID: micro1-2026-AI
Udemy · Computer Vision & Web Integration
Apr 2026 · ID: UC-3d905c2f
Amazon Web Services
Oct 2024
Simplilearn
Mar 2026
Simplilearn
Mar 2026 · ID: 9986845
Udemy
Oct 2022 · ID: UC-eec08422
HackerRank
2023
Practical exposure through virtual internships with global technology organisations.
AI / ML Virtual Internship
Google · via Forage (Virtual Experience Program)
Cloud Networking Virtual Internship
Juniper Networks · via Forage (Virtual Experience Program)
Robotics & Embedded Systems Intern
Pantech.AI · Jan – Mar 2025
I'm open to full-time roles, research collaborations, and exciting robotics and AI projects. Feel free to reach out — I respond within 24 hours.
medisettirenukeswar83@gmail.com
renukeswar-medisetti-rk
GitHub
MedisettiRenukeswar
Location
Hyderabad, Telangana, India
