I've built AI-native backend systems for Time and Space Media and Artilence, spanning call-center intelligence, education, health and fitness, climate finance, news media, and content platforms.
At Time and Space Media, I lead backend engineering for ConvIntel, an asynchronous FastAPI, Celery, and PostgreSQL platform that evaluates high volumes of call-center transcripts. I built concurrent speech-to-text and AI-resolution pipelines, pgvector-powered RAG, deterministic scoring with red-flag detection, and JWT-based RBAC with immutable audit trails for human-in-the-loop QA.
At Artilence, I delivered production AI and backend products using Django, FastAPI, PostgreSQL, Redis, AWS, and GCP. My work included voice assistants, streaming LLM responses, semantic search, WebSocket chat, 40+ REST APIs per project, payment and OAuth integrations, background jobs, Docker deployments, and cost-conscious async architecture.
I've also built systems such as an AI health coach, a voice-first beauty marketplace, a climate-finance compliance auditor, and an intelligent resume management system. My Computer Science background, alongside medical studies, helps me approach technical problems with analytical and interdisciplinary perspective.
