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Robotics Software Engineer with less than a year in Automation & AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am a final-year Automation & Robotics Engineering student with a strong foundation in programming, embedded systems, IoT, and mechatronics. I have practical experience in robotics simulation, computer vision, cloud-based IoT, machine learning, and AI-driven automation. Adaptable, quick to learn, and motivated to apply my technical skills in dynamic engineering environments.
KLE Technological University BVB
B.E. · Automation and Robotics
August 1, 2022 – June 30, 2026
K.L.E Society's Prerana P.U College
12th Grade
June 1, 2020 – May 31, 2022
New Middle East Internation School
High School
N/A – May 31, 2020
Modular Deep Learning Action Recognition Model
June 30, 2026 – Present
Developed a modular video analysis system combining YOLOv8 (person detection) and Swin Transformer 2D (action classification) on the HRI30 dataset, with custom annotations and model training. Achieved 98% training, 79.66% validation, and 93.33% testing accuracy. Designed a CLI-based inference pipeline that combines detection, classification, and majority voting to generate action-labeled output videos.
Waste Management System
June 30, 2026 – Present
Developed an IoT-based smart waste monitoring system using ESP32 and ultrasonic sensing to measure bin levels in real time. Implemented MQTT communication with AWS IoT Core to send sensor data to the cloud and trigger status updates. Built a mobile dashboard using MIT App Inventor for displaying fill levels, notifications, and bin status monitoring. Enabled automated alerts for full-bin detection to improve waste collection efficiency and reduce manual monitoring.
Sensor Fusion for Environment Mapping
June 30, 2026 – Present
Developed a foundational sensor fusion system combining 2D LIDAR (YDLidar TG30) and depth/visual data from Intel RealSense D455. Collected and synchronized data from LiDAR, depth camera, and IMU; preprocessed and calibrated sensor outputs for accurate fusion. Implemented a SLAM-like framework to generate preliminary environment maps, improving perception accuracy over single-sensor mapping. Visualized fused data to demonstrate the benefits of combining LiDAR and camera inputs for environment understanding.
Automatic Plant Watering System
June 30, 2026 – Present
Built a smart system that monitors soil moisture, temperature, and humidity to automatically water plants. Set threshold at 500 units to activate pump for 5 seconds, ensuring responsive control. Developed a Bluetooth-connected MIT App to manually monitor and control the pump, with live sensor data updates.
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and practical application in diverse areas of robotics and automation, including deep learning for action recognition, sensor fusion for environment mapping, and IoT-based smart systems. This breadth of interest and hands-on experience aligns well with an innovative and problem-solving culture often found in robotics engineering teams. The target role of 'Robotics Software Engineer' is a direct match for the candidate's academic background and project portfolio.
Soft Skills & Operational Fit
The candidate lists communication, problem-solving, innovation, teamwork, and adaptability as soft skills. These are valuable for a robotics engineering role, which often involves complex problem-solving and collaborative development. The project descriptions indicate an ability to work on multi-faceted systems, suggesting good operational fit for project-based work.