Ayush Gupta
AI/ML Engineer at Vanguard (starting Jan 2026); Founding AI Researcher at Geolabe
Developing agentic AI and computer vision models for methane detection and industrial optimization.
Intro
I'm Ayush Gupta, an AI/ML Engineer and Researcher currently serving as the Founding AI Researcher at Geolabe and preparing to join Vanguard's AI/ML team. My career has been defined by a transition from the heavy industry of petroleum engineering at Reliance Industries to high-level AI research at Duke University. I am deeply passionate about using AI as a tool for social good, particularly in leveraging satellite data for environmental monitoring and methane detection—a field where I've led NASA-funded projects that significantly reduced costs while maintaining high accuracy. I thrive in high-stakes environments where data-driven decision-making is critical. Whether it's scaling geospatial pipelines by 1,000x or securing over $1M in funding, I focus on delivering measurable impact. I’m always looking to connect with others who are using advanced technology to solve complex, real-world problems.
Networking
What I can offer
- ›Deep technical AI research capabilities in Vision Transformers and LLMs.
- ›Practical industrial experience in energy and finance sectors.
- ›Expertise in scaling geospatial data pipelines and GPU processing.
What I'm looking for
- ›expanding my professional network
- ›exploring mutual opportunities in AI/ML and industrial data science
Best fit for
Focus
Current interests
Core competencies
Background
Career
Transitioned from Petroleum Engineering and production analysis at Reliance Industries to advanced AI research at Geolabe and Duke University, moving into AI/ML engineering in the finance sector.
Education
Master in Interdisciplinary Data Science (MIDS), Duke University (2023–2025); Industrial Safety Technology, IIT Bombay (2020); BTech in Petroleum Engineering, UPES (2015–2019).
Achievements
- ›Reduced methane detection costs by 90% with 95% accuracy for NASA-funded research.
- ›Assisted in securing over $1,000,000 in non-dilutive SBIR funding grants.
- ›Increased production forecasting accuracy from 85% to 99% at Reliance Industries.
- ›Improved geospatial processing scalability by 1,000x.
- ›Winner of the Duke Dean’s Research Award and GATE AIR 79 (Top 1%).
Opinions
- AI and data science are primary tools for solving critical real-world problems and driving innovation.
- Data-driven insights are a necessity in high-stakes, high-pressure environments.
- Automation is essential for efficiency, such as reducing manual operator workloads through Python.
Personality
Communication style
Professional, achievement-oriented, and highly technical with a focus on metrics.
Formality — 8/10
Vocabulary