
Senior Software Engineer with 5+ years of experience building backend systems and data-driven simulation and optimization models for solar energy systems. Proven track record of improving solar project performance through mathematical modeling and algorithm design, including ~5% production gains in tracker systems and shading impact analysis across 5 MW+ capacity. Strong foundation in Python-based systems, cloud infrastructure, and computational problem solving at the intersection of software and applied energy systems.
Languages: Python, JavaScript
Frameworks: Django, Flask, Nodejs
Cloud & Systems: AWS (EC2, RDS, MWAA), Azure
Data Engineering: Apache Airflow, ETL pipelines, telemetry processing
Databases: PostgreSQL, Redis
Monitoring: Grafana
Core Strengths: