Ramniwas Solanki
@ramniwassolanki
Dynamic computational physicist specializing in AI system evaluation.
What I'm looking for
I am a dynamic computational physicist with over 8 years of experience in AI system evaluation and data analysis. My expertise lies in developing robust evaluation frameworks that measure AI algorithm performance in real-world physics simulations, including quantum mechanics and materials science. I have a proven track record in building automated testing infrastructures and data collection pipelines that enhance the reliability and efficiency of AI-driven physics applications.
Throughout my career, I have successfully led the development of comprehensive evaluation systems for AI physics tools, collaborating with cross-functional teams to optimize algorithm performance. My work has resulted in significant improvements in AI algorithm debugging and performance tracking, enabling data-driven decision-making for research teams. I am passionate about leveraging my skills in Python and MATLAB to drive innovation in computational physics and AI research.
Experience
Work history, roles, and key accomplishments
Senior Computational Physicist
Tata Consultancy Services
Mar 2020 - Present (5 years 4 months)
Led the development of comprehensive evaluation frameworks for AI-driven physics simulations, creating over 1,500 automated test cases across various physics domains. Built and maintained data collection pipelines processing over 8.5 million daily computational interactions with AI physics tools, providing critical insights for performance improvement. Designed robust evaluation systems measuring
Computational Physics Engineer
Wipro Technologies
Jan 2019 - Present (6 years 6 months)
Developed and maintained testing infrastructure for AI-powered physics simulation tools, creating automated evaluation pipelines for AI computational physics systems. Built comprehensive test suites for multi-physics simulations, specializing in quantum mechanics and statistical mechanics testing with a focus on AI algorithm accuracy assessment. Implemented data collection systems analyzing comput
Physics Research Engineer
Infosys Limited
Jun 2018 - Present (7 years 1 month)
Built robust evaluation systems for computational physics tools, focusing on automated testing and performance measurement with emphasis on AI algorithm integration capabilities. Developed data collection pipelines analyzing user interactions with physics simulation platforms and computational environments, specifically tracking AI algorithm usage patterns and performance metrics. Created comprehe
Computational Physics Specialist
HCL Technologies
Aug 2017 - Present (7 years 11 months)
Developed and maintained computational physics applications using Python, MATLAB, and modern simulation frameworks with a focus on building evaluation systems for physics research tools. Built automated testing systems for scientific computing platforms, focusing on performance evaluation and computational accuracy optimization through comprehensive data collection. Created data collection tools a
Physics Research Intern
Indian Space Research Organisation
May 2015 - Present (10 years 2 months)
Assisted in developing testing frameworks for satellite physics simulations, focusing on automated testing and performance evaluation systems. Built data collection tools for computational physics analysis, contributing to performance optimization and research accuracy improvements. Created automated test suites for orbital mechanics calculations, ensuring reliability and consistency across differ
Education
Degrees, certifications, and relevant coursework
Indian Institute of Science (IISc)
Master of Science, Physics
Thesis: Automated Evaluation Frameworks for AI-Driven Quantum Simulation Systems: Performance Metrics and Computational Validation. Specialization: Computational Physics, Quantum Mechanics, Statistical Mechanics.
Indian Institute of Science (IISc)
Bachelor of Science, Physics
Activities and societies: Relevant Coursework: Advanced Quantum Mechanics and Computational Methods, Statistical Mechanics and Thermodynamics, Solid State Physics and Materials Science, Mathematical Physics and Numerical Methods, Particle Physics and Field Theory, Computational Physics and Simulation Techniques, Data Analysis and Scientific Computing, Machine Learning for Physics Applications.
Concentration: Theoretical Physics and Computational Methods. Senior Project: Multi-Platform Physics Simulation Testing Framework with AI Performance Assessment.
Availability
Location
Authorized to work in
Job categories
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