Palo Alto, California, USA
Co-founder and Chief Technology Development Officer Quantum AI
AILIFEPAY Inc.
Feb 2022 - Present
Palo Alto, California, United States
Artificial Intelligence Engineer
GIANT AIBI
July 2015 - Dec 2022
San Francisco Bay Area, California, United States
Research And Development Engineer
GIANT AIBI
Aug 2010 - Jun 2015
Chicago, Illinois, United States
Senior System Engineer
Infosys
Jun 2008 - 2010
Pune, India
System Engineer
Infosys
Jun 2007 - Jun 2008
Pune, India
Software Engineer
Infosys
Feb 2006 - Jun 2007
Bangalore, India
Rajiv Gandhi Prodyogiki Vishwavidyalaya
Bachelor of Engineering, Electrical and Electronics Engineering
Aug 2001 - 2005
Grade: 1st Honours
Activities and Societies:
Shri G. S. Institute of Technology and Science, India
Master of Technology, VLSI and Microelectronics Design
Jul 2005 to Feb 2006
Grade: Dropped-out to join Infosys
Activities and Societies:
Infosys Mysore Training Institute
Mar 2006 to Jul 2006
Activities and Societies:
St. Mary's Higher Secondary School India
LKG- XII, Math and Science
1986 – 2001
Grade: Maths and Science
Activities and Societies:
Infosys Star Award
Issued by Infosys Technologies
Apr 2009
Approved H-1B (Never Used)
Issued by USCIS
Oct 2008
U. S. Health Insurance Portability and Accountability Act (HIPAA)
Jan 2007
Microelectronics and VLSI Conference
Issued by IIT Bombay
Jan 2006
Niharika Jha is Co-Founder and Chief Technology Development Officer Quantum AI at AILIFEPAY Inc. She is working in the areas of Technology Development, Intelligent AI and Quantum AI.
At AILIFEPAY she is researching advanced reasoning, using deep quantum fundamental techniques to build Quantum AI Foundational Super-Intelligence Inference Models for enterprise AI. Prior to AILIFEPAY Inc., she worked at GIANT AIBI, contributed building a cloud based high performance computing platform for financial services. Worked developing robust distributed system infrastructure, achieving measurable performance advantages in commercial applications. Niharika Jha dropped from the Master of Technology in VLSI and Microelectronics Design program to join Infosys. She received Bachelor of Engineering in Electrical and Electronics Engineering.
Quantum Neuromorphic Computing
Practical Efficiency, Universal Framework
Quantum Neuromorphic Computing
Practical Efficiency, Universal Framework
Multimodality, Richer Cognitive Capabilities
Real-Time Processing & Low Latency, Adaptive Learning
Secure by Design, Constitutional AI with Super Intelligent AI
Multimodality, Richer Cognitive Capabilities
Quantum-Resistant Risk-Sensitive Reinforcement Learning
Secure by Design, Constitutional AI with Super Intelligent AI
The Edge-to-Core Continuum
Discover Efficiency, Resilience, Scalability
Excel at Purpose-built Compute-dense Operations
Analogical Reasoning, Proactive Task Ownership
Network Reliability, Energy Efficient Inference Model
Enhanced Expressivity, Reflective Thinking & Innovation
Scale the Information Density of Each Step
Computing - Closer, Smarter and Human-AI Symbiosis