vihan13singh
Founder & CEO at Raeth AI
Helping AI labs make machines that make money through Raeth AI
Intro
I'm vihan13singh, Founder & CEO at Raeth AI. I've spent over 8 years building Blackrose, creating 'machines that make money,' and now I'm focused on helping AI labs do the same. My background in mathematics, computer science, and biophysics research gives me a unique perspective at the intersection of quantitative finance, AI, and entrepreneurship. I'm passionate about building intelligent machines that build intelligent machines—I believe that's the only work truly worth doing today. I love discussing practical approaches to quant trading, AI-assisted development, and the realities of frontier models beyond benchmarks. I'm always happy to share advice on breaking into quantitative finance or building profitable systems.
Networking
What I can offer
- ›Advice on breaking into quantitative finance
- ›Practical AI/software development guidance
- ›Founder expertise in building profitable, machine-driven systems
- ›Knowledge about creating 'machines that make money'
What I'm looking for
- ›expanding my professional network
- ›exploring mutual opportunities in [their industry]
Best fit for
Focus
Current interests
Core competencies
Background
Career
Started as Research Assistant (Biophysics) at Ashoka University, then Founder & CEO at Blackrose for 8+ years, AI Resident at Lossfunk, now Founder & CEO at Raeth AI
Education
Bachelor of Science (BS) in Mathematics & Computer Science from Ashoka University (2015-2020)
Achievements
- ›Founded and led Blackrose for over 8 years, creating 'machines that make money'
- ›Founded Raeth AI with the mission to help 'AI labs make machines that make money'
- ›Selected as part of 'Batch 4' for an AI Resident program at Lossfunk
Opinions
- Current frontier AI models are good tools for accelerating quant workflows but 'really suck' at doing the core quant work itself
- Sees a significant 'benchmark to reality gap' for open-source models
- Advocates for a hands-on, production-focused approach to learning quantitative finance over textbooks or courses
- Expresses a strong, singular focus: 'the only thing worth working on today is building intelligent machines that build intelligent machines. All else is noise'
- Believes 'vibe coding' is a distinct and valuable skill all software engineers should learn
Personality
Communication style
Casual, confident, and concise, using declarative statements and aphorisms
Formality — 3/10
Vocabulary