Joyeeta Bais
Product-minded engineer building at the intersection of engineering and design
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About
Product-minded engineer building at the intersection of engineering and design. Currently working on a multimodal GenAI product at SL Corporation that automates manufacturing documentation. I lead product for RIZZerv, a salon and stylist booking marketplace I co-founded. What I'm good at is taking a messy, half-formed problem and turning it into something concrete enough to build and then seeing it through to execution.
Experience
Co-Founder & Product Lead at RIZZerv (2025-06 – Present)
Two-sided salon & stylist booking marketplace (customer app + partner dashboard)
- Own end-to-end product for a two-sided marketplace spanning discovery, booking, and in-app messaging; translating undefined business and user needs into buildable requirements across 12 core user flows for the customer app and partner dashboard.
- Wrote the spec for in-app chat between customers and salon partners, defining message types, content restrictions, moderation and admin oversight, and retention windows across booking states (confirmed, completed, cancelled, rescheduled) to balance user trust and safety against business constraints.
- Designed the partner onboarding and activation journey; account setup, storefront verification, trial activation, and gating logic; cutting partner time-to-first-onboard from 10 to 2 days.
- Driving pre-launch traction through a waitlist and partner acquisition strategy: 80+ waitlist signups and 12 partner LOIs ahead of launch.
Software Engineer at SL Corporation (2025-03 – Present)
Multimodal GenAI for Manufacturing Documentation Automation
- Identified a high-friction manual documentation workflow and scoped the automation opportunity, defining what to automate vs. leave manual to hit an estimated 92% reduction in documentation time without sacrificing accuracy.
- Partnered directly with manufacturing stakeholders to define requirements and acceptance criteria, weighing accuracy, consistency, and scalability against real production constraints; then translated those into an agentic pipeline (LangChain, Azure AI Speech, LLMs) that transcribes video, extracts process steps, and generates structured docs.
- Made build-vs-buy and scope calls for the ingestion pipeline across BOMs, video, and images, prioritizing pilot production lines where documentation lag was most costly.
Product Management Intern at Whatbytes (2024-04 – 2024-11)
Early-stage startup, multiple concurrent product workstreams
- Tracked progress across 4 simultaneous projects at an early-stage startup, keeping each on schedule and surfacing risks early.
- Cleared client-side blockers for the development team; coordinating on resourcing and dependencies so engineering & design could keep moving without interruption.
Education
B.Tech in Electronics and Communication – Dayananda Sagar College of Engineering, Bangalore (VTU) (2021 – 2025)
Senior Secondary Education (CBSE) – Krishna Public School (2019 – 2021)
Higher Secondary Education (CBSE) – Krishna Public School (2019)
