Ananthakrishna G.

About Ananthakrishna G.

I build high-performance computing systems — GPU and quantum — for scientific simulation. Most of my work has been in quantum chemistry for drug discovery.At TCS\'s CTO Research Lab, I built a Quantum Chemistry-as-a-Service platform from scratch and took it to production with top-10 global pharma clients. Along the way I got >10× performance gains out of our quantum chemistry workloads using CUDA, CUTLASS, and multi-GPU optimization, and reduced electronic structure scaling from O(N⁸) to O(N³) using Qubitization and Tensor Factorized Hamiltonian Downfolding.Right now I\'m architecting an intelligent orchestration layer for scientific simulation — it figures out when expensive high-accuracy compute is actually needed and when you can skip it. Still in development, but it\'s the most interesting problem I\'ve worked on.I\'ve filed 8+ patents (3 EPO granted), co-authored papers with pharma scientists, and won Tata Innovista under the Patented Technologies category. I also spend time consulting life sciences clients on what\'s actually feasible with quantum computing today — which is often a very different conversation from what they expect.Stack: CUDA, CUTLASS/CUTE, C/C++, Rust, MPI, OpenMP, NCCL, PyTorch, Qiskit, PennyLane, Cirq, SLURM/PBS, AWS, Rescale.If you\'re building anything at the intersection of GPUs, quantum, or scientific computing — happy to talk. a••••••••@gmail.com

Experience

1. Research Engineer - CTO Group

   Tata Consultancy Services

   Jul 2022 — Present · IN

   I build high-performance computing systems for quantum chemistry and scientific simulation.GPU & HPC- 10× performance gains on quantum chemistry workloads. CUDA, CUTLASS/CUTE, MPI, OpenMP. Multi-GPU distributed execution, memory leak debugging, kernel profiling- Built Quantum Chemistry-as-a-Service (QCaaS) platform end-to-end: architecture, job scheduling, execution pipelines, cloud deployment (AWS, Rescale, SLURM/PBS). Running in production with top-10 global pharma clients.Quantum Algorithms- Reduced electronic structure scaling from O(N⁸) to O(N³) using Qubitization and Tensor Factorized Recursive Hamiltonian Downfolding- Built hardware-ready quantum circuits with error mitigation. Extended to larger chemistry classes and reaction pathway modeling- Developed quantum optimization on IBM Quantum and D-Wave for logistics (40% efficiency gains).Intelligent Orchestration- Architecting an intelligent orchestration layer for scientific simulation — automates workflow decisions, reduces redundant compute, and optimizes when to invoke expensive high-accuracy methods. In development for pharma R&D.IP & Client Work- 8+ patents filed (3 EPO granted). Won Tata Innovista — Patented Technologies Category- Co-authored papers with pharma scientists (arXiv, ChemRxiv)- Pitched and consulted multiple life sciences clients on algorithm feasibility and hardware trade-offs- Led cross-functional teams, mentored engineers, interviewed PhD-level candidates.

Education

• Kendriya Vidyalaya

  AISSCE

  2005 — 2017

• Indian Institute of Science Education and Research, Thiruvananthapuram

  Master of Science - MS, Mathematics, Data Science

  2017 — 2022