Summary
Sharmistha Gupta is a software engineer with nine years of experience specializing in machine learning, reinforcement learning, multi-agent systems, and human-centred AI, currently working on AI solutions at Auger after a year building conversation AI and RAG pipelines at Symbl.ai. She blends academic rigor—from research stints at DeepMind and Carnegie Mellon on invariant network architectures and inverse reinforcement learning—with practical product delivery, having launched LLM-powered APIs and real-time AI agents for objection handling. Her background in robotics and human-robot collaboration is complemented by hands-on projects in swarm control, simulation using PPO/MADDPG, and VR interfaces, reflecting a rare mix of ML theory and embedded/robotics systems. A high-achieving UMass Amherst graduate (3.89 GPA), she also has interdisciplinary research on misinformation and financial inclusion, indicating a strong interest in socially-aware AI. Not obviously, she has experience translating research prototypes into customer-facing integrations, managing discovery, infrastructure and partner onboarding to ensure production readiness.
8 years of coding experience
4 years of employment as a software developer
High School, Mathematics, High School, Mathematics at Sanskriti School, Chanakyapuri
Master's degree, Computer Science, 3.89/4, Master's degree, Computer Science, 3.89/4 at University of Massachusetts Amherst
Bachelor of Technology, Electronics and Communications Engineering, 7.71/10, Bachelor of Technology, Electronics and Communications Engineering, 7.71/10 at Indraprastha Institute of Information Technology, Delhi
English, Hindi, Sanskrit