Vivek Anand Tiwari is a seasoned Project Manager with over 14 years of end-to-end IT experience at PixelNX Pvt.
Ltd.
Having grown from Junior Developer to Project Manager, he brings a rare blend of hands-on technical depth and strategic leadership to every project he leads — overseeing multiple SaaS and web initiatives from discovery to launch, gathering client requirements, optimizing costs, and architecting scalable, high-converting applications. Vivek has been instrumental in delivering standout platforms, consistently keeping teams aligned, timelines on track, and clients confident in the results.
- Project Management
- Client Collaboration
- Team Leadership
- Cost Optimization
- Technical Architecture
- Project Documentation (SRS, BRD)
- SaaS Strategy
- Multi-Tenant Systems
TinyBrander
A SaaS platform that lets users launch their own custom-branded supplement line and eCommerce store in minutes — without managing inventory, warehousing, or shipping.
mytinybrander.comClickDesigns
An all-in-one graphic design SaaS for creating logos, boxshots, covers, funnel graphics, and marketing creatives — including AI-powered image and copy tools.
clickdesigns.comDiscovered.TV
A video/content-focused web platform aimed at audience engagement and content discovery.
discovered.tv- Directs AI like a senior engineer, not a prompt-typer — scoping features end-to-end (data model, API, UI, admin reporting) and steering implementation.
- Thinks in systems, not snippets — routinely has AI audit existing code before extending it, keeping changes consistent across the whole codebase.
- Works in tight, verified feedback loops — ships to production, catches regressions in the real browser, and iterates in same-day cycles.
- Moves fluidly across the full stack — PHP/CodeIgniter and MERN, MySQL schema design, billing & payments, custom-domain/DNS, and front-end layouts.
- Builds production-grade, multi-tenant SaaS — role-based systems, impersonation flows, white-label theming, and payment-gateway integrations.
- Pragmatic over fashionable — optimizes for shipping into existing codebases rather than rewriting from scratch.