Akshit Srivastava is an Engineering Manager with 8 years of experience bridging deep learning research and applied software engineering in healthcare and robotics. He holds an MTech in Health Informatics from IIT Bombay and authored papers at MICCAI 2023 and ISBI 2024, reflecting hands-on work in active learning for medical imaging and physiological data systems. His research stint at Duke explored multimodal models for neurodegenerative disease monitoring using mechano-acoustic speech sensors, while earlier roles ranged from rover autonomy and path-planning algorithms to leading developer communities at IIT Bombay. Akshit combines academic rigor with practical system-building—evident from sensor-driven diagnostics, cost-grid path updates, and novel Bayesian obstacle-avoidance approaches—making him adept at turning complex data and models into deployable solutions. Based in Mumbai, he brings both technical depth and team leadership from academia to real-world engineering.
7 years of coding experience
2 years of employment as a software developer
Class IX - XII, Class IX - XII at Modern Vidya Niketan
Indian Institute of Technology Bombay
Audited a year, Computer Science, Audited a year, Computer Science at Indraprastha Institute of Information Technology, Delhi
Short videos trivially explaining some mind-blowing yet intuitive algorithms
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Akshit Srivastava - Engineering Manager at IIT Bombay