Gaurav is a Python Developer with 5+ years of experience in AI/Machine Learning and full-stack development. He has a proven track record of leading teams and delivering complex software solutions, particularly in the security and surveillance domain.
Led a team in developing AI software for people and vehicle counting.
Implemented AI solutions on 100 CCTV cameras for enhanced surveillance.
Developed strong problem-solving abilities to navigate technical challenges.
Achieved accurate detection of objects across multiple AI projects.
Gained valuable experience in project management and team coordination.
Successfully implemented AI-based software on 100 CCTV cameras, significantly enhancing surveillance and monitoring capabilities.
Led a team in the development of AI-based software for people/vehicle counting and arc flash suit detection.
Achieved accurate and reliable detection of objects (people, vehicles, bags, PPE) across multiple AI projects.
Overview: Developed AI software utilizing Yolo to count bags on conveyor belts. Responsibilities: Led a team in the development of the AI software. Implemented the software on 100 CCTV cameras. Leveraged HTML, CSS, JavaScript, Python, YOLO, PostgreSQL, and Apache for full development and deployment.
Key outcomes:
Accurately counted people and vehicles arriving and departing.
Significantly enhanced surveillance and monitoring capabilities by implementing on 100 CCTV cameras.
Overview: Developed an AI-based software using YOLO-based machine learning to detect individuals wearing Arc flash suits. Responsibilities: Led a team in developing the AI software. Employed HTML, CSS, JavaScript, Python APIs, Django, SQL, and Apache. Deployed the software effectively to accurately identify personnel wearing Arc flash suits in real-time.
Key outcomes:
Accurately identified personnel wearing Arc flash suits in real-time.
Significantly enhanced safety measures in high voltage environments.
Overview: Developed and implemented an AI-based software utilizing Yolo and machine learning algorithms to accurately count bags. Responsibilities: Utilized HTML, CSS, JavaScript, and Django to create an intuitive user interface. Leveraged Python, Yolo, PostgreSQL, and Apache to enhance accuracy and efficiency.
Key outcomes:
Accurately counted bags on conveyor belts.
Improved overall performance and productivity through bag classification.
Overview: Developed an AI-based software utilizing Tensorflow machine learning to effectively detect and monitor vehicle speed. Responsibilities: Successfully implemented Python, Django, PostgreSQL, and Apache server technologies.
Key outcomes:
Effectively detected and monitored the speed of vehicles through CCTV cameras.
Ensured efficient traffic monitoring and enforcement measures.
Overview: Developed AI-based software to enhance safety measures by detecting individuals wearing personal protective equipment. Responsibilities: Leveraged HTML, CSS, JavaScript, Python, Django, PostgreSQL, and Apache Server.
Key outcomes:
Enhanced safety measures by accurately detecting PPE usage using CCTV cameras.
Gaurav
Python Developer