The Person Behind the Data

Data Scientist with 5+ years of experience building end-to-end ML solutions across aerospace, telecom, and automotive domains. Specializing in time-series modeling and scalable ML pipelines. Experienced in Python, SQL, and MLOps practices including Docker and MLflow for production deployment. Recently focused on applying NLP and large language models to real-world problems, with a strong interest in building RAG pipelines and agent-based AI systems.

I've worked across aerospace(satellite telemetry & anomaly detection), telecom(manufacturing analytics & forecasting), automotive (enterprise data pipelines), and consulting(risk analytics & LLM systems). Each domain sharpened a different edge of my toolkit — from real-time anomaly detection to enterprise-scale ETL.

My current passion lies at the intersection of LLMs, RAG architectures, and agent-based AI systems. I believe the next wave of impactful data science will be about making AI systems that reason, retrieve, and act — not just predict.