Harshveer Singh is a Senior ML Engineer based in Bengaluru with 8 years of experience building and productionizing low-latency ML/DL systems across industry and research. By day he ships scalable models for companies like ToneTag and Vaultedge; by night he pursues independent AI research into biologically plausible learning, loss landscape analysis, and causal inference. His background in mathematical analysis has driven contributions from quasi-linear attention work at CERN to studies explaining how batch norm smooths loss surfaces and a novel Adam beta2 schedule. He has practical NLP and full-stack experience, having deployed transformer-backed systems at his alma mater and fine-tuned decoder models for robust retrieval. Comfortable moving models from prototype to production, he blends rigorous theoretical inquiry with hands-on engineering in real-world, latency-sensitive environments. An unconventional thinker, he also explores hierarchical theories of consciousness and agent behavior that inform his experimental approach to learning agents.
8 years of coding experience
8 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science and Electronics, Bachelor of Technology - BTech, Computer Science and Electronics at Thapar Institute of Engineering and Technology
Contributions:69 pushes, 1 branch in 4 years 5 months
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