AI/ML Engineer

• Developed object detection models for robots using the YOLO algorithm (CNN), increasing the capability of detecting 2D & 3D objects in static images and live feeds by 30%.
• Leveraged PyTorch and TensorFlow to develop autonomous decision-making for robots, achieving 95% accuracy.
• Created a simulation environment replicating real-world conditions using camera, LIDAR, and other sensors.
• Achieved 95% accuracy in environmental mapping and employed ISSAC Simulation and Unreal Engine for creating simulation.
• Integrated ROS, simulation tools, LLMs, and AI in robots to execute written commands (e.g., “detect the person”, “follow the person”), with an 80% success rate in command execution.
• Imported and utilized actual robot URDF and OBJ files within the simulation environment, reducing setup time by 30%.

• Evaluated AI, Data Mining, and Linux/Unix courses, providing feedback to 300+ students, and enhancing their performances.
• Facilitated doubt sessions, workshops, provided course materials, answered questions, and mentored students.
• Maintained accurate records of grades and attendance, assisted in exam administration and proctoring.

• Visualized hiring data using Power BI to inform recruitment initiatives, extracting & cleaning annual recruitment data of 1000+ employees to assess the impact of hiring strategies.
• Delved into data modelling by removing duplicate entries, grouping 450 employee’s data by using SQL and Python.
• Managed a team of 4, defining Key Result Areas (KRAs) to inform performance metrics.
• Led a bi-weekly internal training program, supporting 13 peers upskilling in talent data analytics using SQL, and Power BI.

Master's in Data Science, focused on Artificial Intelligence, Machine Learning, Computer Vision, and Physical AI