ML Engineer · Applied Scientist · Data Engineer · Full-Stack Systems Architect
Building intelligent, scalable, production-grade systems
across machine learning, data, and modern web platforms.
- Agentic AI & LLM Systems — RAG, tool-using agents, multi-agent collaboration
- Applied Machine Learning — model behavior, evaluation, alignment, failure analysis
- Data Engineering — scalable pipelines, analytics, storage & retrieval
- Full-Stack Systems — microservices, APIs, real-time & distributed architectures
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Entropy
AI-powered academic ecosystem with RAG, intelligent agents, automated research workflows, mind-mapping, quiz generation, and gamified learning loops. -
DreamDOT
Creator-first social marketplace enabling monetization of digital art and writing through subscriptions, paywalls, and analytics-driven insights. -
Verdex
Sustainability data platform combining real-time environmental monitoring, AI-driven analysis, and user engagement mechanics.
Languages: Python · TypeScript · Go · C++ · JavaScript
ML: PyTorch · Transformers · RAG · MLflow · NumPy · Pandas
Backend: FastAPI · Node.js · GraphQL · Microservices
Frontend: Next.js · React · Tailwind CSS
Data & Infra: PostgreSQL · MongoDB · Docker · Cloud Platforms
From research to production — I ship systems that reason, adapt, and scale.

