Siddharth Lalwani Bio
Siddharth Lalwani is a seasoned professional with a strong background in software development, blockchain ecosystems, and asset management. He has successfully managed a large portfolio, providing consistent yields with low speculation yield farming strategies. Lalwani’s expertise extends to performing due diligence on several DeFi protocols, showcasing his proficiency in the nitty-gritty of different blockchain ecosystems.
Features and Achievements of Siddharth Lalwani
- Portfolio Management: Lalwani has actively managed a large portfolio, generating consistent profits with low levels of speculation.
- Technical Expertise: He has honed a strong command over software development fundamentals, including algorithms and data structures.
- Hackathon Success: Lalwani finished runner-up in the Crypto Never Sleeps hackathon by CoinDesk, and his trading algorithm using sentiment analysis was ranked among the Top 100 in Quantopian.
- Industry Recognition: He has received recognition for his work, including a Top 100 Rank in Quantopian Open Contest 22 and Contest 21, and a Star Performer award for improving network performance at Samsung India.
- Leadership Roles: Lalwani has held leadership positions at Skate (formerly Range Protocol), Investment Research Manager at Altonomy, and Senior Investment Research Analyst at Altonomy.
- Industry Connections: Skate is backed by leading founders in web3, including EigenLayer, Polygon, Manta, Axelar, Pendle, A41, and Galxe, supporting its vision to make web3 efficient for a modular future
Siddharth Lalwani Current Work
Siddharth Lalwani Previous Work
- Altonomy Investment Research Manager (Jul 2021 - Aug 2023), Senior Investment Research Analyst (Jan 2021 - Jul 2021), Investment Research Analyst (Sep 2020 - Jan 2021), Full Stack Developer (Jul 2020 - Sep 2020)
- Numerix Software Developer Sep 2019 - Jun 2020
- Samsung India Software Developer Jun 2017 - Apr 2019
Siddharth Lalwani Education
- Carnegie Mellon University - Tepper School of Business, Certificate - Computational Finance, 2020
- Nanyang Technological University Singapore, Master of Science - MS, Financial Engineering, 2019 - 2020
- University School of Information Technology, Bachelor of Technology (B.Tech), Computer Science, 2013 - 2017
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