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.