Sai Vishnu Chitra

About Sai Vishnu Chitra

I’m a Computer Science and Business Administration student at Northeastern University (Corporate Innovation concentration), passionate about building data-driven products and strategies at the intersection of technology, finance, and innovation.My experience spans strategy, financial analysis, and applied AI. I’ve worked as a Financial Analyst Intern at PwC, where I analyzed multi-year financial statements, built sensitivity models, and supported capital allocation decisions for family-owned enterprises. Previously, I led IPO feasibility and financing strategy analyses for a logistics company in Singapore, building scenario-based models to compare equity, debt, and internal funding paths.Alongside industry experience, I’m deeply involved in venture building and applied machine learning. I’m the co-founder of Skinapse Labs, an AI-powered dermatology platform focused on accessible, inclusive preliminary skin diagnostics. Our work placed 1st at Northeastern’s Husky Startup Challenge, with validation from practicing dermatologists. I’ve also built predictive inventory and forecasting models in Python, delivering high-accuracy insights to support operational and financial decision-making.I enjoy working where analysis meets execution—turning complex data into clear recommendations, products, and stories that drive impact. I’m especially interested in roles across strategy consulting, product analytics, AI-driven platforms, and corporate innovation.Outside of work, you’ll find me boxing, playing bass guitar, or experimenting with indie game development.

Experience

1. COO Co-founder

   Skinapse Labs

   Jan 2026 — Present · Boston, MA, US

   Co-founded Skinapse Labs, an AI-driven skin intelligence startup building inclusive, education-first skin analysis tools and bespoke AI models for skincare, dermatology, and digital health- Led product and platform strategy for a two-phase model: a free consumer skin education platform and enterprise-grade, population-aware AI deployments- Helped design and deploy CNN-based computer vision models for acne severity, inflammation, sensitivity risk, scarring, and melanin-aware interpretation- Oversaw ethical, consent-driven data collection and model training using real-world images across diverse skin tones and geographies- Drove early B2B partnerships and pilot programs with skincare brands, ingredient safety platforms, and digital health stakeholders- Collaborated closely with engineering and design teams to translate complex AI outputs into transparent, trust-building user experiences- Supported go-to-market strategy, branding, and outreach across LinkedIn, university networks, and healthcare communities.

Education

• UWC South East Asia

  High School Diploma, Computer Science

  2020 — 2022

• Northeastern University

  Bachelor's degree, Computer Science and Business Administration