Selected work
These case studies demonstrate my end-to-end engineering work across generative AI, Retrieval-Augmented Generation (RAG) pipelines, FastAPI backend automation, and high-performance marketing analytics systems. The core methodology behind every project is to bridge the gap between complex architectural challenges and measurable business impact.
My primary tech stack revolves around Next.js and React for highly optimized, SEO-friendly frontends, paired with Python and FastAPI for robust, asynchronous backend services. Data and analytics infrastructure typically leverages PostgreSQL, Redis, Google BigQuery, and advanced telemetry pipelines.
Building high-performance generative AI systems utilizing modern large language models, structured outputs, robust prompt engineering pipelines, and rigorous runtime evaluation frameworks. I prioritize mitigating hallucination and ensuring data privacy in enterprise environments, ensuring AI tools operate reliably and securely.
Designing bespoke enterprise RAG pipelines for complex document ingestion, semantic chunking, dense/sparse hybrid search, cross-encoder reranking, and citation verification. These systems ensure that AI responses are strictly grounded in verifiable internal knowledge, eliminating fabrication and enabling high-stakes decision-making.
Architecting advanced marketing data science and decision intelligence systems. I build reliable multi-touch attribution models, server-side Google Tag Manager deployments, and custom GA4/BigQuery pipelines that translate complex telemetry into clear marketing investment decisions, allowing businesses to scale their ad spend confidently.
Shipping end-to-end production web applications designed for visual excellence, performance, security, and search engine optimization. This involves combining ultra-fast Next.js user interfaces with secure, scalable backend microservices, real-time databases, and automated deployment pipelines for seamless user experiences.
I actively select projects that present deep technical complexity tied directly to tangible business value. I look for engagements where a high-leverage technical intervention—whether it is automating an operational bottleneck with AI agents, establishing absolute clarity in marketing attribution, or scaling a Next.js platform—will drive immediate ROI. I prefer working directly with stakeholders who value engineering rigor, iterative deployment, and transparent system architecture over quick, unscalable hacks. My ultimate goal is to architect foundational systems that teams can understand, maintain, and rely on long after my direct involvement ends.
In these case studies, "shipped" does not just mean the code was successfully merged to the main branch. A shipped project represents a resilient system that is actively running in production environments, handling real user traffic, and generating measurable data. It means the application has been meticulously optimized for Core Web Vitals, secured against common vulnerabilities, and architected with robust error handling and observability from day one. Each project below is comprehensively documented with a clear problem statement, the technical approach used to solve it, and the concrete outcomes achieved. Where applicable, live URLs, open-source GitHub repositories, and verifiable performance metrics are provided as citable proof of execution.
SaaS - SEO / AEO / GEO
Real-time AI Visibility & SERP Intelligence Platform
Crawls 10,000+ pages in parallel with Playwright. Compares server HTML to the rendered DOM. Returns a ranked fix list for SEO, AEO, and GEO. Audits that took a week now take an afternoon.
Education - RAG / AI assistant
Python & AI Learning Platform with AI Assistant
A series-based tech blog with an assistant that has actually read the blog. Vector-grounded answers with citations. Instant in-page search. Designed for both human readers and AI-assisted retrieval.
Production FastAPI Automation Platform
Automated Course Enrollment System via FastAPI Automation Platform
Udemy Enroller is a live production FastAPI and Playwright automation platform that orchestrates asynchronous workflow runs, bounded worker concurrency, secure session-state handling, telemetry logging, and background processing with Celery, Redis, PostgreSQL, and Docker.
