プロフィール詳細

プロジェクトを作成

★★★★★

☆☆☆☆☆

★★★★★

☆☆☆☆☆

Agnesh P.に依頼

India

Published Physicist & Astrophysicist | Strategic Tech Consultant | AI, Defense & Space

プロフィール概要

Astrophysicist, physicist, and entrepreneur with dual bachelor’s degrees (Astronomy/Astrophysics and Physics, University of Wyoming), publishing record in top-tier journals, and deep expertise at the intersection of first-principles modeling, advanced simulation, and AI. Founder of Xzenoverse Industries (stealth), developing high-impact computational tools in astrophysics, nuclear engineering, and dual-use defense technology. Current projects include simulation frameworks for gravitational wave astrophysics (e.g., BBH mergers in TensorFlow/Numerical Relativity), AI-driven modeling in nuclear reactor design, and machine learning architectures integrating scientific and engineering constraints. Noted for technical and algorithmic depth, clean scientific coding practices, and a focus on interpretable, mission-critical analytics. Experience spans project leadership, peer and tutor mentoring, startup “zero to one” execution, large-scale data analysis (DESI survey), and cross-border research collaboration. Services offered: End-to-end simulation/modeling in astrophysics, physics, and engineering Advanced analytics for R&D, defense, nuclear, or academic clients AI and deep learning applied to physical and mathematical systems Research/technical writing, publications support, and consulting for innovation-driven companies Values: Quiet execution, outcome-first partnerships, technical rigor, and confidentiality—ideal for clients seeking reliability, cross-disciplinary insight, and solutions deliverable from concept to deployable code. Industry Preferences: Independent Researchers and other Freelancers Academia/Research (Astrophysics, Physics, Data Science) Defense & Aerospace (Nuclear Engineering, Simulation, Analytics) Energy/Engineering (Modeling, Predictive Analytics)

専門分野

• ☆ Aerospace Engineering
• ☆ Aerodynamics
• ☆ Astronautics
• ☆ Aeronautics
• ☆ Aviation
• ☆ Military Aircraft
• ☆ Unmanned Aerial Systems
• ☆ Engineering Physics
• ☆ Computer Science
• ☆ Supercomputing
• ☆ Quantum Computing
• ☆ Parallel Computing
• ☆ Distributed Computing
• ☆ Software Engineering
• ☆ Cryptography
• ☆ Software Architecture
• ☆ Robot Programming
• ☆ Computer-Aided Engineering
• ☆ Nuclear Engineering
• ☆ Systems Science
• ☆ Energy Security
• ☆ Fluid Mechanics
• ☆ Computational Fluid Dynamics
• ☆ Data Analysis
• ☆ Image Processing
• ☆ Computer Simulation/Computational Modeling
• ☆ Algorithm Design
• ☆ Predictive Modeling & Analytics
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Data Collection
• ☆ Data Manipulation
• ☆ Machine Learning
• ☆ Data Cleaning
• ☆ Natural Language Processing
• ☆ Neural Networks
• ☆ Pattern Recognition
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Computer Vision
• ☆ Earth & Atmospheric Science
• ☆ Astrophysics
• ☆ Wave Mechanics
• ☆ Applied Mechanics
• ☆ Theoretical Mechanics
• ☆ Fluid Dynamics
• ☆ Fracture Mechanics
• ☆ Statistical Mechanics
• ☆ Thermodynamics
• ☆ Particle Physics
• ☆ Quantum Mechanics
• ☆ Theoretical Physics
• ☆ Computational Physics
• ☆ Applied Physics
• ☆ Mass Transfer
• ☆ Microfluidics
• ☆ Plasma Physics
• ☆ X-Ray Technology
• ☆ Relativity Theory
• ☆ High-Pressure Physics
• ☆ Cryogenics
• ☆ Astronomy
• ☆ Cosmology
• ☆ Calorimetry/Heat Transfer
• ☆ Electric Power
• ☆ Applied Mathematics
• ☆ Mathematical Models
• ☆ Mathematical Optimization
• ☆ Mathematics Education
• ☆ Computational Sciences
• ☆ Mathematical Physics
• ☆ Differential Equations
• ☆ Chaos Theory
• ☆ Group Theory
• ☆ Mathematical Wavelets
• ☆ Computational Mathematics
• ☆ Stochastic Processes
• ☆ Game Theory
• ☆ Pure Mathematics
• ☆ Fractals
• ☆ Number Theory
• ☆ Algebra
• ☆ Calculus
• ☆ Mathematical Analysis
• ☆ Geometry
• ☆ Mathematical Logic
• ☆ Topology
• ☆ Graph Theory
• ☆ Discrete Mathematics
• ☆ Integral Equations
• ☆ Embedded Systems
• ☆ Radar
• ☆ Acoustic Engineering
• ☆ Taxonomy/Classification
• ☆ String Theory
• ☆ R

サービス

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Non-Medical Regulatory Writing, Technical Writing, Copywriting, Creative Writing, General Proofreading & Editing, Translation

Research Market Research, Meta-Research, Feasibility Study, Technology Scouting, Fact Checking, Gap Analysis, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection

Consulting Operations Consulting, Scientific and Technical Consulting, Regulatory Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Data Cleaning, Data Processing, Data Insights

Product Development Formulation, Recipe Development, Deformulation, Product Validation, Quality Assurance & Control (QA/QC), Concept Development, Prototyping, Reverse Engineering, Device Fabrication

職務経験

Founder and CEO

Xzenoverse Industries

11月 2024 - 現在

Independent Researcher

Self Employed

1月 2024 - 現在

Senior Student Educational Opportunity (Educational Professional)

University of Wyoming

11月 2023 - 9月 2024

Wyoming Research and Scholars Program (WRSP) Fellowship

University of Wyoming

6月 2021 - 6月 2023

Student Educational Opportunity Tutor (SEO Tutor)

University of Wyoming

7月 2020 - 12月 2022

学歴

Bachelors of Science in Astronomy and Astrophysics (Specialization: Computational Astrophysics) (Physics and Astronomy)

University of Wyoming

8月 2019 - 8月 2023

Bachelors of Science in Physics (Specialization: Nuclear Engineering and Weapons Technology) (Physics and Astronomy)

University of Wyoming

8月 2019 - 8月 2023

認定資格

• Introduction to Quantum Information

  Korea Advanced Institute of Science and Technology

  https://coursera.org/share/d00eb4e1c0f1840e4a49dd175ce408af

  9月 2023 - 現在

出版物

JOURNAL ARTICLE

Pandey, Agnesh, Napolitano, Lucas, Myers, Adam D., Lan, Ting-Wen, Anand, Abhijeet, Aguilar, Jessica, Ahlen, Steven, Alexander, David M., Brooks, David, Canning, Rebecca, et al. (2023). Detecting and Characterizing Mg II Absorption in DESI Survey Validation Quasar Spectra . The Astronomical Journal.

CONFERENCE ABSTRACT

Pandey, Agnesh, Napolitano, Lucas, Myers, Adam, DESI Collaboration (2023). Using Metal-Rich Absorption features for identifying Relative Metal Content across Cosmic Time. American Astronomical Society Meeting Abstracts.