AI Engineer and Full-Stack Developer focused on building scalable, high-performance systems with real business impact. I work end-to-end: backend architectures that move fast, frontends that feel effortless to use, and the data/RAG pipelines underneath them.
At LogoLife, I build AI-powered tooling for AcceptedX, a college admissions platform. I developed "Athena," a context-aware AI assistant (Vercel AI SDK, GPT-4o, Mem0, MCP), and shipped a multi-stage crawler with two-layer vector deduplication and LLM-powered enrichment for library items powering downstream search and recommendation. I also built a real-time Crawler Operations Dashboard for pipeline monitoring. The dedup work cut LLM/API enrichment costs by 70%, and load testing identified our breaking point at ~1,231 concurrent users.
Previously at Tolstoy, I developed and maintained AI-powered e-commerce solutions including embedded chat widgets, analytics dashboards, and virtual try-on experiences. I built and shipped production-grade RAG pipelines with semantic deduplication, metadata-filtered vector search, and retrieval tuning, and orchestrated multiple LLMs for chat, content analysis, and question generation. One client saw an 11% sitewide conversion uplift within 6 days of going live.
Earlier at Elinnov Technologies, I worked on an order management system built with
ASP.NET Core, implementing frontend features and backend APIs using a layered, Onion-inspired architecture. I also led key parts of a client's brand website revamp, delivering responsive, production-ready pages using WordPress and custom JavaScript aligned with Figma designs.
I care about systems that scale, code that lasts, and products that move metrics. Always pushing to learn, optimize, and apply emerging tech in AI, web development, and system design where it makes practical sense.
Check out my portfolio:
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