Harmanpreet Singh

AdTech-focused data scientist transitioning from full-stack/backend engineering: Harmanpreet combines practical software-engineering experience (senior/backend roles at Visa and engineering roles at Netcentric/Publicis) with recent graduate-level ML study and production-focused data-science work at INVIDI. This background enables him to build end-to-end ML systems in AdTech contexts (forecasting, optimization, MLOps). harmanpunn+1

Strong software-engineering foundation across web, backend and cloud stacks: public repos, portfolio entries and aggregator profiles show years of backend/full‑stack work, enterprise application development, and system design prior to pivoting toward ML and MLOps. github+1

Research & graduate training in computer science: completed an M.S. in Computer Science at Rutgers (convocation listing May 2024) and worked as a research assistant and developer on academic projects during that period, indicating experience with applied research, prototyping, and reproducible experiments. rutgers+1

Active open-source contributor and maker in agentic AI and demo-driven tooling: maintains multiple public repositories (e.g., vygil-ai, multi-agent-swarm), writes project writeups, and publishes demos to YouTube — signaling strengths in rapid prototyping, applied ML, and communicating technical work. github+2