About

Azfar Lari is a talented Software Engineer and Google Cloud Consultant with a passion for Machine Learning, Statistics, and Data Science. Despite not having an Engineering degree, Azfar has gained extensive experience in interviewing candidates for Data Science, Data Analysis, and Software Development positions. Azfar is currently working as a Software Engineer at BrowserStack, where he works with Ruby on Rails, NodeJS, Python, Selenium, and Analytics. Azfar's expertise in Scalable Computer Vision Inferencing is impressive, and he leverages Cloud GPUs with NVIDIA's TensorRT Framework and DeepStream SDK to achieve this. He is also interested in Creative Writing, Competitive Programming, and PUBG in his free time. In the past, Azfar has worked as a Lead Mentor - Data Science at Girlscript, where he mentored a cohort of students for six weeks and was responsible for designing content and assignments for them. He has also worked as an SWE Intern - Machine Learning at Shipsy, where he tripled the inference per second capacity of their geocoding API by optimizing the Deep Learning OCR pipeline with TensorRT. Azfar's educational background includes a Bachelor of Science in Mathematics and Computer Science from Delhi University and a Class 12 degree from Lucknow Public College. He is currently pursuing a Master's degree in Dropout from K J Somaiya Institute of Management, which he is expected to complete in December 2022. Azfar's Tech Stack includes Software Engineering, AI, test, Data Science, ML, Ruby, Computer Vision, Selenium, Python, Deep Learning, AWS, NodeJS, OpenCV, Image Processing, Tensorflow, and Mobile. With 0.78 years of relevant experience, Azfar is a highly skilled and motivated individual who is always eager to learn and grow in his career.