• Engineered Go-based analytics backend with PostgreSQL, Redis, and ClickHouse for real-time event tracking, processing millions of click and conversion events monthly with time-series aggregation and cross-database synchronization.

• Deployed Next.js frontend on Vercel with Convex serverless backend for live campaign dashboards, leveraging real-time subscriptions and type-safe APIs for instant analytics updates.

• Automated cloud provisioning and ad platform integration using Cloudflare Workers and Meta Ads API for high-volume performance tracking, campaign management, and revenue attribution.

• Built custom domain infrastructure system with automated DNS verification, SSL certificate provisioning via Cloudflare, and dynamic Worker routing for scalable multi-tenant tracking domains (supporting 500+ customer domains).

• Engineered a PDF output solution that perfectly replicates web-based designs,

enhancing resume format and readability.

• Developed a microservices architecture using Node.js for tasks like web scraping, boosting application performance.

• Architected a scalable full-stack application with Next.js and Azure, featuring

automated CI/CD via GitHub, auto-scaling to 30+ instances, multi-region database replication, and a custom high-volume data schema.

• Implemented advanced OCR with Python to automate user profile population,

streamlining onboarding and reducing manual entry.

• Designed an automated job scraping system in Python, integrating with employer portals for real-time updates, maintaining a daily-refreshed database of 15 million jobs.

• Built Next.js artist portfolio and e-commerce platform with TypeScript, Convex real-time backend, Printify print-on-demand integration, and Stripe payments.

• Created CMS with admin dashboard featuring masonry gallery management, TipTap rich-text blog with categories, and infinite scroll pagination.

• Implemented automated order fulfillment, including real-time Printify inventory sync, session-based cart, dynamic variant selection, API shipping calculations, and order tracking.

• Developed a vector storage system for efficient handling of files up to 10MB, reducing storage costs by 50% and achieving 75% faster data retrieval, resulting in a 30% increase in user engagement

• Researched and evaluated emerging technologies, conducting proof-of-concepts and performance testing, leading to successful implementation and improvements in

system performance, development efficiency, and user experience

• Implemented LLM-assisted features (art generation, X.com posting, web search),

increasing user engagement by 15%

• Built a highly scalable API using Python, FastAPI, and Flask, processing over 100,000

requests with optimized design and caching, reducing average response time by 50%

• Collaborated with co-founders to define the company's technical vision and strategy,

aligning with business objectives and delivering measurable value