Founder • Builder • Entrepreneur • Researcher Bengaluru, India

I am a founder and college student focused on building scalable, technology-driven products at the intersection of healthcare, machine learning, and communities. I work end-to-end — from problem discovery and system design to experimentation, execution, and early go-to-market thinking.

My interests span applied AI, uncertainty-aware machine learning, and zero-to-one product development, with an emphasis on building systems that are reliable, interpretable, and usable in real-world settings.

A healthtech platform enabling accessible, appointmentless medical consultations, with a free entry layer and a structured premium model.

Focus areas:

• Preventive healthcare workflows
• Doctor–patient marketplaces
• Medical triage and routing systems
• Patient data pipelines and operational scalability

QUANTO — AI Infrastructure for the Physical Economy (Stealth)

I am currently building QUANTO, an early-stage AI infrastructure project focused on intelligence systems for physical-world operations.
Due to its early and sensitive nature, technical details are intentionally restricted.

Documentation is available privately for academic or institutional review.

A community-driven platform connecting students, founders, and professionals to events worldwide.

Designed as a distributed, chapter-based system (regional + global), with a long-term vision of becoming a unified discovery layer for high-quality events across domains.

• Built a reproducible experimental pipeline comparing Bayesian Linear Regression and Gaussian Processes
• Implemented calibration metrics (NLL, coverage, reliability diagrams)
• Studied IID vs OOD behavior and failure modes under distribution shift
  Repository: probabilistic-ml-uncertainty

• Explored hybrid approaches combining symbolic structure with neural models
• Focused on compositional generalization and reasoning-centric AI
  Repository: neuro-symbolic-compositional-reasoning

• Implemented ML fundamentals and neural models from scratch using PyTorch
• Built applied AI systems in collaborative settings, contributing to model logic, experimentation, and system design
  Repositories: ml-basics-pytorch, MOMO_AI

• Designed and developed end-to-end systems with a focus on real-world constraints, coordination, and usability
  Repository: CrowdCast

• Multiple national and international competition wins
• Selected in hackathons and developer programs
• Experience building early-stage products under zero-to-one constraints
• Based in Bengaluru, actively engaged in the startup and developer ecosystem

• Healthtech systems & preventive care
• Uncertainty-aware and reliable machine learning
• Neuro-symbolic and reasoning-centric AI
• Web3 / Blockchain infrastructure
• Product strategy, system design, and execution
• Community-led growth and distribution

Languages: C · C++ · Java · Python · JavaScript / TypeScript
ML & AI: PyTorch · Probabilistic ML · Gaussian Processes · Experimentation & evaluation
Systems: AWS · Docker · GitHub Actions · APIs · Cloud-native architecture
Web & Product: React · Node.js · Backend systems · Platform design

I care about building things that work in practice, not just in theory — systems that are interpretable, scalable, and grounded in real constraints. I enjoy collaborating, experimenting, and iterating quickly while maintaining technical rigor.