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Robotics Engineer with 2+ years in embedded systems, IoT, and AI-driven automation.
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Results-driven Robotics and Embedded Systems Engineer with approximately 2.5 years of hands-on experience across robotics engineering and embedded systems development. Skilled in embedded C, Python, IoT, computer vision, and AI-driven automation, with proven expertise in system prototyping, testing, troubleshooting, and real-time deployments. Experienced in developing smart monitoring systems, robotic solutions, and AI-based applications while supporting technical training programs. Seeking a challenging role to contribute to innovative product development, intelligent automation, and scalable embedded solutions in a growth-oriented organization.
Gitam University
Master of Science · Electronics
January 1, 2021 – January 1, 2023
Gitam University
Bachelor of Science · Physical Science
January 1, 2018 – January 1, 2021
Skyfi Education Labs Private Limited
Curriculum Developer
November 1, 2024 – Present
India
Leap Robotics Pvt Ltd
Robotics Engineer
November 1, 2024 – Present
India
AcenAAr Technologies Pvt Ltd
Embedded Systems Intern
January 1, 2023 – April 1, 2023
India
Articulated Robotic Hand using AI
May 1, 2023 – June 1, 2026
Developed an AI-controlled articulated robotic hand using Python and computer vision to recognize real-time hand gestures accurately. Implemented gesture recognition algorithms mapped to multiple servo motors, ensuring precise coordinated movement and responsive robotic hand control. Integrated computer vision with embedded hardware, enabling smooth motion, intuitive human-machine interaction, and reliable real- time system performance.
AI-Based Domestic Animal Detection System
May 1, 2023 – June 1, 2026
Built a high-accuracy computer vision system achieving ninety-five percent detection accuracy through model training, testing, optimization, and evaluation. Implemented a YOLO-based deep learning model enabling real-time animal detection with efficient inference speed, accuracy, and robust deployment. Integrated an automatic door control system triggered by detection outputs, ensuring synchronized hardware response, safety, automation, reliability, and seamless system operation.
AI-Based Smart Plant Monitoring System
May 1, 2023 – June 1, 2026
Designed and developed an IoT-based plant monitoring system using Arduino UNO R4 WiFi, enabling reliable data acquisition, connectivity, and automation. Implemented real-time monitoring of temperature, humidity, and soil moisture sensors, ensuring accurate data collection, analysis, visualization, and environmental condition tracking. Automated fan and buzzer control using predefined sensor thresholds, improving plant care efficiency, system responsiveness, safety alerts, and smart agricultural operations.
Air Quality Monitoring System
May 1, 2023 – June 1, 2026
Developed an air quality monitoring system integrating sensors to track indoor and outdoor environmental parameters with accurate data acquisition. Implemented real-time monitoring and analysis of air quality metrics, enabling timely detection, reporting, and evaluation of pollution levels. Optimized sensor integration and system performance to ensure reliability, scalability, data accuracy, and effective environmental monitoring across multiple locations.
C & Python Programming
Unknown
June 1, 2026 – Present
Prompt Engineering for ChatGPT
Unknown
June 1, 2026 – Present
Embedded Systems (1 Year)
EMERTXE
June 1, 2026 – Present
Introduction to AI & ML
Google Cloud
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from AI-controlled robotic hands to smart plant monitoring and animal detection systems, indicates a broad interest in applying technology to various real-world problems. The combination of academic projects and professional experience in robotics and embedded systems suggests a strong alignment with a growth-oriented, innovative technical environment. The curriculum development experience also points to a desire to share knowledge and contribute to learning, which can be a positive cultural asset.
Soft Skills & Operational Fit
The candidate demonstrates an ability to collaborate with cross-functional teams, support technical training, and document procedures, indicating good teamwork and operational discipline. The curriculum developer role suggests strong organizational and communication skills, which are beneficial for explaining complex technical concepts. The freelance nature of one role also implies self-management and initiative.