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In this engaging episode of TechGuide, host Ryan Atkinson welcomes machine learning enthusiast Aayush to share her journey into the tech world. Starting with her boyhood inspiration from her scientist father, Akankshya takes us through her evolution from a computer science student to a machine learning professional, delving into projects that not only advanced her career but also helped Indian farmers with innovative tech solutions. Discover how Aayush's standout projects, including an influential paper, propelled her into the prestigious halls of Carnegie Mellon University and led to a successful role at Samsung that further shaped her expertise. Learn about the essential coursework, the significance of foundational concepts applied at Meta, and how she's currently training models for autonomous driving. Akankshya's candid advice on research papers, networking, and preparing for a career in machine learning is invaluable for both novices and seasoned tech enthusiasts. Don't miss her insights on the value of education, strategic career choices, and the exciting world of tech innovation.
Time stamps:
00:00 Father's scientific passion drove interest in software.
05:30 Early career focused on computer vision, machine learning.
07:10 Leading project at Samsung, India, and universities.
10:05 MIT researched image memorability, consider CMU conferences.
13:05 Undecided between PhD and professional program choice.
17:38 Peer support and networking crucial for opportunities.
21:59 CMU career fairs led to job opportunities.
23:04 Apply, network, and use referrals for success.
27:17 Understanding geometry and 3D rendering basics.
30:20 Network, research, gain experience, focus on projects.
In this engaging episode of TechGuide, host Ryan Atkinson welcomes machine learning enthusiast Aayush to share her journey into the tech world. Starting with her boyhood inspiration from her scientist father, Akankshya takes us through her evolution from a computer science student to a machine learning professional, delving into projects that not only advanced her career but also helped Indian farmers with innovative tech solutions. Discover how Aayush's standout projects, including an influential paper, propelled her into the prestigious halls of Carnegie Mellon University and led to a successful role at Samsung that further shaped her expertise. Learn about the essential coursework, the significance of foundational concepts applied at Meta, and how she's currently training models for autonomous driving. Akankshya's candid advice on research papers, networking, and preparing for a career in machine learning is invaluable for both novices and seasoned tech enthusiasts. Don't miss her insights on the value of education, strategic career choices, and the exciting world of tech innovation.
Time stamps:
00:00 Father's scientific passion drove interest in software.
05:30 Early career focused on computer vision, machine learning.
07:10 Leading project at Samsung, India, and universities.
10:05 MIT researched image memorability, consider CMU conferences.
13:05 Undecided between PhD and professional program choice.
17:38 Peer support and networking crucial for opportunities.
21:59 CMU career fairs led to job opportunities.
23:04 Apply, network, and use referrals for success.
27:17 Understanding geometry and 3D rendering basics.
30:20 Network, research, gain experience, focus on projects.