Experience

Building intelligent hiring systems with multi-agent evaluation pipelines, adaptive interviews, and AI-powered candidate scoring. Focused on creating AI products that help teams move from 300+ applicants to a decisive short list with better signal quality.

Developed AI-powered research tools including ML dashboards for decision tree visualization, SFTP→S3 data pipelines with AWS SQS, and FastAPI services with 30% latency improvements through advanced PostgreSQL optimization.

Humancloud build and deploy AI systems for enterprises — everything from fine-tuning large language models (LLMs) and setting up retrieval-augmented generation (RAG) pipelines, to building multi-agent workflows, cloud infrastructure for ML operations (MLOps), and governance frameworks.

Led hands-on sessions on AI/ML APIs, GCP services, and containerized deployment. Helped 2000+ students build real-world AI applications and achieve Google Cloud certifications.