Avinash Yadav

● Spearheaded the rapid prototyping and validation of multiple AI-driven SaaS products, leveraging GenAI tools to reduce build cycles by 60% and consistently translate early-stage concepts into functional, user-tested MVPs within weeks.

● Built and scaled end-to-end GenAI prototypes, including mobile, web, and Chrome extension platforms, integrating adaptive multi agent workflows and dynamic prompt-chaining systems to accelerate time-to-market by 35% for new AI products and client solutions.

● Architected and launched an AI-powered business assistant suite handling chat, voice, and review responses across client websites, reducing customer support workloads by 65% and increasing average response speed to under 3 seconds.

● Designed and launched AI-driven operations and automation platform integrating inventory forecasting, appointment scheduling, and CRM pipelines, enabling 3× growth in automated daily interactions & reducing missed appointments by 40% across client businesses.

● Leveraged a GenAI stack integrating OpenAI, Gemini, and Anthropic APIs with serverless infrastructure, enabling horizontal scalability, reliable context retrieval, and real-time analytics for 10+ concurrent AI-driven business applications.

● Established internal AI pipelines for multi-agent coordination & prompt optimization, boosting flow by 55% across deployed services.

● Led the design and development of an AI-powered image generation processing SaaS platform, enabling automated rendering and visualization for 3D data with scalable backend architecture.

● Collaborated with cross-functional teams to prototype and iterate AI-based modules and intelligent rendering pipelines, enhancing image accuracy by 18%, improving stability, and boosting usability through continuous feedback cycles.

● Engineered and implemented automation workflows using Python and Google Apps Script, scaling internal operations and streamlining multi-team data workflows, reducing the manual efforts by 70% and improving operational efficiency across teams.

● Contributed to an Angular-based e-commerce platform, improving product visualization and boosting customer engagement through enhanced interactive experience by 20%.

● Enhanced existing system for performance and scalability, refactoring legacy components & implementing modular architecture.

• ● Leveraged Vue.js for front-end development, creating interactive and user-friendly interfaces. Utilized NodeJS and Express.js for the back-end, building a robust and scalable server-side application.

• ● Optimized Node.js and MongoDB performance through efficient schema design and query optimization, improving page load speed and scalability.