Software engineer with 3.5 years at Meta building backend services and production ML systems. My work has focused on real-time and batch inference, model-serving infrastructure, workflow automation, and integrating ML outputs into operational backend systems. Through personal projects, I have also built full-stack systems that connect data collection, API services, database storage, caching, and browser-based visualizations.
Technical Skills
Languages: Python, C++, JavaScript, C#, SQL
ML Systems: Model serving, real-time inference, batch inference, multimodal ML, embeddings, model integration, ML pipelines
Backend / Production: Backend services, REST APIs, Node.js, Express, Linux, CI/CD workflows, rollout planning, quota and rate-limit management
Full-Stack Projects: HTML, CSS, JavaScript, Chart.js, API design, server-side caching, sensor ingestion, frontend data visualization
Reliability / Observability: Metrics, dashboards, alerts, monitoring, on-call support, incident response, latency tracking, reliability tracking
Data / Databases: pandas, Matplotlib, data parsing, data visualization, MongoDB, MongoDB Atlas, SQL