MOHITH HP

Project 1: Anomaly Detection

• Duration: [August-2022- May-2023]
• Team Size: 3
• Role & Responsibilities: Spearheaded the development and implementation of deep neural network models for anomaly detection in the semiconductor industry.
  Focused on detecting minute discrepancies in the supply chain using 3D data.
  Converted 2D images into 3D models, enhancing the accuracy and efficiency of anomaly detection.
  Utilized a suite of tools including PyTorch, CUDA, Python, OpenCV, Pandas, NumPy, and Matplotlib and other AI liberaries for model development and data analysis.
• Key Achievements:Successfully developed models that significantly improved the detection of subtle anomalies, contributing to quality assurance in the semiconductor manufacturing process.
  Enhanced the team's capability in handling complex 3D data, setting a benchmark for future projects in similar domains.
• Collaborated with cross-functional teams to deliver high-quality software products on schedule.

Project 2: Video Analytics for Work Environment Monitoring

• Duration: [June-2023 - In Progress]
• Team Size: 3
• Role & Responsibilities:Led the design and implementation of a video analytics system to monitor and record worker actions in an industrial environment.
  Developed algorithms for tracking worker movements, ensuring safety and efficiency in the workplace.
  Created and optimized pathways for walking and driving within the work environment to streamline operations and reduce hazards.
• Key Achievements:Successfully implemented a video analytics solution that enhanced workplace safety and operational efficiency.
  Pioneered the use of advanced tracking algorithms, contributing to the company’s reputation for innovation in workplace safety solutions.
• Skills: Python,PyTorch, TensorFlow, Keras, Sklearn, Computer Vision, Statmodels, Pandas, Numpy, Scipy, OpenCV, SQL.
• Developed scalable and maintainable code, ensuring long-term stability of the software.