Suggestions
Shreemoy Mishra
Expert in Digital Money & Blockchain Engineering
Shreemoy Mishra is a Senior Researcher at RootstockLabs with a diverse background in economics, computer science, and blockchain technology.1 He holds a PhD and has expertise in areas such as digital money, blockchain engineering, and economics.2
Professional Experience
At RootstockLabs, Mishra focuses on research related to blockchain and cryptocurrency. He frequently reviews code from internal and external projects and has experience working with Large Language Models (LLMs) in a research context.3
Academic Background
Mishra has a strong academic foundation, which includes:
- Designing and heading a minor program in economics for computer science students
- Guiding student research projects in econometrics, game theory, and optimization1
Areas of Expertise
Shreemoy Mishra's areas of expertise include:
- Blockchain technology
- Game theory
- Causal inference
- Machine learning
Location and Education
Based in Los Altos, California, Mishra is associated with The University of Texas at Austin, which may indicate where he received his education or has academic ties.2
Professional Insights
Mishra shares insights on various topics through his LinkedIn profile, including:
- The interplay between traditional stock markets and cryptocurrency markets
- Technical and engineering aspects of cryptocurrency4
His multidisciplinary background in economics, computer science, and blockchain technology positions him as a valuable researcher in the rapidly evolving field of digital finance and blockchain engineering.
Highlights
US stocks closed at record highs today. Stunning given where interest rates are and sentiment about how the economy is doing. I work on the technical / engineering side of crypto. While equities have been on a tear, bitcoin has dropped nearly 20% from its recent highs. Those highs were thought to reflect pent up demand for US spot bitcoin ETFs. These were recently - and reluctantly - approved by the SEC. Like many things related to "valuations" in crypto, it may have been an illusion and prices are now correcting. Large price swings are common in crypto. The dramatic volatility is why Vanguard chose not to offer any bitcoin ETFs on its platform. Unlike Vanguard, my brokerage (Fidelity), offers several - including its own FBTC. Fidelity is no stranger to bitcoin and has an experienced crypto team. Before I could buy a couple of FBTC shares, Fidelity reminded me of the risks. It made me change the classification of the investment strategy for that account to “extremely high risk” - even though the account is mostly just S&P500. I also had to sign a regulatory form to indicate I realize what I am doing is risky. Making investors jump through some hoops isn’t so bad when putting any amount of money into highly speculative assets. I get to work on some cool technology - but there is no rational pricing model for bitcoin.
As a researcher I frequently review code from internal and external projects. Like others, our developers are also experimenting with LLMs e.g. GPT variants. Some use them to generate code from prompts. Others use them in the opposite direction, to automatically create project documentation from the source code they've written. The AI looks at the code and summarizes what the code is trying to achieve. The result is usually astonishingly good. But occasionally the AI will make things up. Few days ago I noticed it "added" reasonably sounding business logic to the documentation -- logic that was neither in the product specification I had designed, nor in the code I had just reviewed. We know generated stuff needs to be fact checked. But the AI is so damn convincing! Everyone needs to write their own documentation from scratch you say? Nah, that train's on its way out. This is all very cool stuff, but obviously the accountability rests on us not gpt.
