Summary
Prakhar Dixit is a PhD student and research engineer specializing in machine learning, reinforcement learning, and Sim2Real systems with nine years of hands-on experience building scalable software and robotic agents. He has driven measurable advances—such as a 20% sample-efficiency gain in model-free RL with graph-attention integrations and real-world nano-drone navigation via hierarchical RL and Sim2Real transfer. His recent work on enhancing mathematical reasoning and long-term memory in large language models has yielded state-of-the-art gains on long-memory benchmarks and practical agentic systems for enterprise tasks. Comfortable bridging academia and industry, he combines deep learning, graph neural networks, and human-in-the-loop training to make AI more robust and deployable. Based in Arbutus, MD, he pairs a strong publication and award record with an engineer’s affinity for production-ready solutions and efficiency-focused experimentation.
9 years of coding experience
7 years of employment as a software developer
Student, Deep Learning For Self Driving Cars, Student, Deep Learning For Self Driving Cars at Massachusetts Institute of Technology
UMBC
Bachelor of Technology, Computer Science, Bachelor of Technology, Computer Science at SRM IST Chennai
11th-12th , Computer Science, 11th-12th , Computer Science at Army Public School, Nehru Road, Lucknow
Hindi, English