About

Lalit Shukla is an accidental entrepreneur with a passion for technological innovations that can change the world and add value to people's lives. With a strong background in problem-solving, leadership, and execution, Lalit is driven to pursue technology-based ventures, quantum computing, and AI, and data science. Currently working as a Data Science Intern at GarudaUAV, Lalit is responsible for data annotation, mining, and deep learning using CNN and image processing algorithms. He has also worked as a Mentor at Atal Innovation Mission, where he trained young school kids and shared inspirational real-life experiences. Lalit's experience in Quantum Computing comes from his previous position as a Project Position at the Indian Institute of Technology, Delhi, where he worked on Algorithm Development of NDVI computation of satellite images with Quantum Image processing in QISKIT. Lalit's educational background includes a Bachelor of Sciences in Physics and Electronics from Delhi University, an Intermediate degree in Science from Kendriya Vidyalaya, and an IDEAS Program cohort 7 degree in Entrepreneurship/Entrepreneurial Studies from the Indian Institute of Technology, Bombay. Lalit's technical skills include Data Science, AI, Image Processing, CNN, Deep Learning, Research Scientist, Neural Networks, AWS, Keras, Computer Vision, Python, Kubernetes, Docker, ML, Tensorflow, Pytorch, and GCP. With 1.86 years of relevant experience, Lalit is a highly skilled and motivated individual with a strong desire to make a difference in the world through technology.