I am a Product Engineer and Technical Co-founder with more than five years of experience building production SaaS, AI, and data-intensive web applications.
I specialize in end-to-end full-stack development, from product scoping and multi-tenant data modeling to frontend implementation, backend architecture, deployment, and ongoing optimization.
I have delivered more than 20 production systems, including AI marketplaces, document automation products, portfolio platforms, e-commerce solutions, and industry-specific analytics SaaS applications.
My work includes production RAG and LLM pipelines, vector search, AI agents, and AI-assisted engineering workflows using tools such as Claude Code, Cursor, and Codex.
I have led major platform migrations and performance initiatives, including work that supported SaaS growth from $100K to $600K MRR, reduced page-load time by 77%, and improved signup conversion by 38%.
I enjoy owning technical and product decisions, mentoring developers, and building scalable systems that create measurable business outcomes.
I serve as a founding or lead engineer for multiple funded startups, delivering end-to-end SaaS and AI products for EB3, Fabrik, ShopSmart, Pointr Solutions, and Smuves.
I own product and engineering decisions including scoping, multi-tenant data models, RAG chatbots, escrow payment flows, and scalable platform architecture.
I led full-stack delivery for enterprise client projects spanning SaaS, AI, and document automation. I owned architecture decisions across more than three concurrent products.
I introduced CI/CD pipelines and Docker-based deployment workflows, reducing release cycles by approximately 40%. I also mentored three junior developers, two of whom were promoted to mid-level roles within six months.
I delivered more than 10 production MERN applications across e-commerce, edtech, and B2B SaaS, owning the full development lifecycle for clients in four countries.
I improved performance for a 5,000-concurrent-user edtech platform by optimizing queries and implementing Redis caching, reducing average API response time by 35%.
Bachelor of Science, Computer Science
BS Computer Science.
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