Prabhjot Singh

AI Researcher

India2 yrs experience

Most Likely To SwitchAI Enabled

Key Highlights

Co-developed the first ocean sustainability LLM.
Engineered AI for tidal energy investment optimization.
Strong foundation in AI, ML, and entrepreneurship.

Stackforce AI infers this person is a proficient AI engineer specializing in sustainable energy and advanced machine learning solutions.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Machine Learning

Other Skills

AI AgentsAgentic AIArtificial Neural NetworksBig DataC (Programming Language)C++Cascading Style Sheets (CSS)Computer ScienceComputer VisionData AnalyticsData ScienceData structures and algorithmsDeep LearningDjangoFlask

About

Prabhjot Singh is a graduate student at the University of Texas at Austin, pursuing a Master’s in Artificial Intelligence. With a strong foundation in machine learning, NLP, and deep learning, he is passionate about building practical AI solutions that address real-world problems. He is deeply interested in entrepreneurship and enjoys exploring opportunities at the intersection of technology, innovation, and business. Prabhjot is always open to collaborating on impactful AI projects and ventures that aim to drive meaningful change. For collaboration or networking opportunities in AI and entrepreneurship, feel free to connect or reach out at prabhjotchugh0805@gmail.com

Experience

2 yrs

Total Experience

1 yr 3 mos

Average Tenure

1 yr 8 mos

Current Experience

Iaeng

Member

Jan 2025 – Present · 1 yr 5 mos

Rediminds, inc

2 roles

Artificial Intelligence Engineer

Oct 2024 – Present · 1 yr 8 mos · Michigan, United States · Remote

Co-developed IPOSGPT, the world’s first ocean sustainability LLM. Engineered using a RAG architecture and a curated corpus of 800K+ scientific and policy documents, it delivers trustworthy, zero hallucination, citation-grounded intelligence to bridge the science-policy gap for global ocean governance and UN sustainability goals.

Artificial Intelligence (AI)Machine LearningLarge Language Models (LLM)Deep LearningData Science

Artificial Intelligence Intern

May 2024 – Sep 2024 · 4 mos · Michigan, United States · Remote

Engineered the core AI intelligence for the Salish Sea Digital Twin, establishing a strategic foresight platform that de-risked multi-million dollar tidal energy investments. I pioneered Physics-Informed Neural Networks to model complex hydrodynamics, achieving 95% prediction accuracy for optimal turbine placement and maximizing project efficiency. The resulting intelligent system integrates a YOLO v8 vision model with real-time sensor data to guarantee both unwavering environmental compliance and substantial sustainable energy yield.

Artificial Intelligence (AI)Machine LearningPhysics-Informed Neural NetworksYOLO v8Data Science