The personal website of Akash Tandon. Writings, work and some other bits of relevant information.
Strava’s metrics alone couldn’t tell the story of my training, because important context lived in photos of my gym’s whiteboard. Here’s how I combined Strava data with a coding agent’s vision layer to build a half-year-in-review infographic.
Coding agents can hand you a confident, detailed, and wrong explanation backed by persuasive evidence. The craft of debugging - building hypotheses, gathering evidence, and knowing a system's internals - matters as much as ever.
Learnings and anecdotes from four years as a startup founder - timing matters, accept the past and good things take time.
Lessons from creating a successful LLM-based feature for breaking down and summarizing user interviews, emphasizing how we nailed it by focusing on context, user feedback, and the right balance of AI and user experience.
Lessons that can help you when using large language models (LLMs) in a software production environment
Frameworks to think about role of user experience when creating enterprise software
Blueprint to understand recent advances in natural language technology in a hands-on manner. Topics covered include transformers, language models (BERT, GPT-2), evaluation benchmarks, and conversational interfaces/chatbots.
A guiding philosophy and collection of frameworks for thinking about a startup co-founder.
Musings about inspiration, its importance for technological progress and a call for action to inspire those around you.
A high-level overview of Legal Tech.