Educator, Researcher & AI Enthusiast
Passionate about teaching Physics, exploring AI frontiers, and solving complex problems at the intersection of science and technology.
I am a passionate researcher, educator, and lifelong learner with a deep fascination for the intersection of science, technology, and innovation.
Currently, I am teaching Physics to students preparing for the National Eligibility cum Entrance Test (NEET) at Motion Education, where I strive to inspire the next generation of medical professionals by making complex concepts accessible and engaging.
My teaching revolves around making learning engaging, intuitive, and application-oriented, helping students grasp complex concepts with clarity and confidence.
I have a keen interest in Machine Learning, AI, and Automation, developing trading bots and intelligent systems to solve real-world problems.
Started my teaching career, teaching Physics to students preparing for IIT-JEE.
Taught Physics for both IIT-JEE and NEET over nine years, helping thousands of students.
Played a key role in shaping curriculum and mentoring students while developing leadership skills.
Transitioned to online teaching, reaching a wider audience and exploring innovative teaching methods.
Currently teaching Physics to NEET aspirants with focus on engaging and effective learning.
Self-taught in multiple languages including Python, C/C++, Java, JavaScript, and specialized tools for computational mathematics and trading algorithms.
Completed Harvard's Fundamentals of Neuroscience course and explored Genetics and Human Behavior.
Extensive work with ML algorithms, LLMs, RAG systems, and Generative AI for diverse applications.
Fascinated by the mysteries of the cosmos, from galaxy formation to fundamental universal laws.
Deep interest in combining programming with market analysis to develop trading bots and financial analytics.
Jyotish Visarad certified with deep understanding of Vedic, Western astrology and numerology systems.
My research spans multiple disciplines, reflecting my passion for exploring the unknown and solving complex problems at the intersection of science, technology, and philosophy.
Developing computational models and mathematical frameworks to solve complex problems in theoretical and applied physics.
Training custom LLMs, developing RAG systems, and exploring Generative AI for scientific and practical applications.
Exploring how AI and data science can decode cognitive processes and improve mental health solutions.
Applying data science and AI to analyze markets, develop trading algorithms, and build predictive models.
Combining insights from physics, AI, neuroscience, and philosophy to address complex, real-world problems with innovative solutions.
I regularly read and subscribe to journals such as Nature, Scientific American, American Journal of Physics, and Scientific American Mind to stay updated with cutting-edge developments.
Feel free to reach out if you'd like to discuss education, research, technology, or potential collaborations.