Summary
Akshat Joshi is a software engineer from IIT Madras with a strong foundation in electrical engineering and a computing minor, currently building trading systems at Graviton Research Capital. He blends academic research—having coauthored ICCP 2024 work on deep learning for light field and novel view synthesis—with hands-on experience at top Indian prop trading and research labs. Comfortable across AI, computer vision, and systems, he has applied computational imaging techniques at Samsung and pursued low-latency software roles at APT Research. Known for a data-driven, research-informed approach, he prefers bridging theoretical models with production-quality code for quantitative trading and vision tasks. Outside work he reads extensively on AI, CV, and systems, maintaining an active curiosity that fuels cross-disciplinary solutions.
11 years of coding experience
2 years of employment as a software developer
Indian Institute of Technology Madras
Delhi Public School, Pune
English, Hindi