Summary
Abhijeet Phatak is a graduate student in Electrical Engineering at Stanford with eight years of industry experience applying machine learning and data science to large-scale e-commerce and scientific problems. He has driven analytics, visualization, and predictive/prescriptive modeling at Flipkart’s ekart team, and brings hands-on expertise in Python, SQL, R, HiveQL and web visualization (d3.js) to bridge data, product and operations. His research background spans optics, photonics and terahertz instrumentation from internships at The University of Tokyo and TIFR, giving him a rare blend of experimental science and applied ML. Comfortable working across pipelines from data engineering to modeling and deployment, he seeks full-time roles that apply AI/ML to autonomous systems, multimedia, big data and optimization. Colleagues describe him as someone who translates complex measurements into actionable business insights while keeping an eye on futuristic materials and automation.
8 years of coding experience
1 year of employment as a software developer
10th grade, 95.07%, 10th grade, 95.07% at Lourdes High School
Bachelor of Technology (B.Tech.), Ceramic Engineering, Cumulative GPA = 8.54 / 10, Bachelor of Technology (B.Tech.), Ceramic Engineering, Cumulative GPA = 8.54 / 10 at Indian Institute of Technology (BHU), Varanasi
10+2, Science, 96.7%, 10+2, Science, 96.7% at St. Patricks Junior college, Hyderabad
Masters of Science, Electrical and Electronics Engineering, Masters of Science, Electrical and Electronics Engineering at Stanford University
English, Hindi, Marathi, Telugu, Japanese