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Hi, I’m Ayush Varma, a geospatial data scientist and aerospace enthusiast currently interning at the Earth Observation Lab in Auckland. I develop deep learning pipelines for Synthetic Aperture Radar (SAR) based marine vessel detection and surface feature classification, and I build ML backbones for SAR data processing with real-time target tracking. I enjoy applying mathematical modelling, debugging, and validation techniques to ensure robust satellite imagery analysis. I also contribute to GIS data acquisition, georeferencing, crop yield estimation, and field validation through Terra Analytica and related projects (Adaptive Optics, RINGSS, CubeSAT design). I’m active in student communities and enjoy sharing knowledge with the wider Auckland tech ecosystem through events, collaborations, and outreach.…Hi, I’m Ayush Varma, a geospatial data scientist and aerospace enthusiast currently interning at the Earth Observation Lab in Auckland. I develop deep learning pipelines for Synthetic Aperture Radar (SAR) based marine vessel detection and surface feature classification, and I build ML backbones for SAR data processing with real-time target tracking. I enjoy applying mathematical modelling, debugging, and validation techniques to ensure robust satellite imagery analysis. I also contribute to GIS data acquisition, georeferencing, crop yield estimation, and field validation through Terra Analytica and related projects (Adaptive Optics, RINGSS, CubeSAT design). I’m active in student communities and enjoy sharing knowledge with the wider Auckland tech ecosystem through events, collaborations, and outreach.

Ayush Varma

Data Scientist, Designer, AI Engineer, +2

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Hi, I’m Ayush Varma, a geospatial data scientist and aerospace enthusiast currently interning at the Earth Observation Lab in Auckland. I develop deep learning pipelines for Synthetic Aperture Radar (SAR) based marine vessel detection and surface feature classification, and I build ML backbones for SAR data processing with real-time target tracking. I enjoy applying mathematical modelling, debugging, and validation techniques to ensure robust satellite imagery analysis. I also contribute to GIS data acquisition, georeferencing, crop yield estimation, and field validation through Terra Analytica and related projects (Adaptive Optics, RINGSS, CubeSAT design). I’m active in student communities and enjoy sharing knowledge with the wider Auckland tech ecosystem through events, collaborations, and outreach.…Hi, I’m Ayush Varma, a geospatial data scientist and aerospace enthusiast currently interning at the Earth Observation Lab in Auckland. I develop deep learning pipelines for Synthetic Aperture Radar (SAR) based marine vessel detection and surface feature classification, and I build ML backbones for SAR data processing with real-time target tracking. I enjoy applying mathematical modelling, debugging, and validation techniques to ensure robust satellite imagery analysis. I also contribute to GIS data acquisition, georeferencing, crop yield estimation, and field validation through Terra Analytica and related projects (Adaptive Optics, RINGSS, CubeSAT design). I’m active in student communities and enjoy sharing knowledge with the wider Auckland tech ecosystem through events, collaborations, and outreach.

Available to hire

Hi, I’m Ayush Varma, a geospatial data scientist and aerospace enthusiast currently interning at the Earth Observation Lab in Auckland. I develop deep learning pipelines for Synthetic Aperture Radar (SAR) based marine vessel detection and surface feature classification, and I build ML backbones for SAR data processing with real-time target tracking. I enjoy applying mathematical modelling, debugging, and validation techniques to ensure robust satellite imagery analysis.

I also contribute to GIS data acquisition, georeferencing, crop yield estimation, and field validation through Terra Analytica and related projects (Adaptive Optics, RINGSS, CubeSAT design). I’m active in student communities and enjoy sharing knowledge with the wider Auckland tech ecosystem through events, collaborations, and outreach.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

DaVinci Resolve Studio

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Events Lead at Auckland University Indian Society (AUIS)

December 1, 2025 - October 16, 2025

Led core events team; expanded membership and social media reach; coordinated events with local businesses to support cultural and STEM-focused activities.

Writer at UOA Scientific Review Magazine (Freelance)

December 1, 2025 - October 16, 2025

Contributed articles and distilled complex physics topics for a scientific magazine; drew inspiration from astrophysics, electromagnetism, relativity, quantum mechanics and nuclear physics.

Events Lead at Auckland University Indian Society (AUIS)

December 1, 2025 - October 16, 2025

Led and managed a core events team, expanding membership and engagement; coordinated events and communications with student communities and local partners.

Research Intern at Earth Observation Lab, University of Auckland

February 28, 2025 - October 16, 2025

Developed deep learning pipelines for SAR-based marine vessel detection and surface feature classification; built ML backbones for SAR data processing and real-time target tracking; applied mathematical modelling, debugging, and validation techniques to ensure robust satellite imagery analysis.

Research Intern at Earth Observation Lab Aotearoa (EO Lab Aotearoa), University of Auckland

February 28, 2025 - October 16, 2025

Developed deep learning pipelines for SAR-based marine vessel detection and surface feature classification; built ML backbone for SAR data processing, algorithm development, and real-time target tracking; applied mathematical modelling, debugging, and validation techniques to ensure robust satellite imagery analysis.

GIS Data Volunteer and Researcher at Terra Analytica

December 31, 2024 - October 16, 2025

Ongoing data acquisition and georeferencing; crop yield estimation; field capture validation and data rasterizing; QGIS field boundaries digitizing; atmospheric turbulence research; adaptive optics and RINGSS project.

GIS Data Volunteer & Researcher at Terr Analytics

August 1, 2024 - Present

Ongoing data acquisition and georeferencing, crop yield estimation, field boundary digitization, field capture validation, data rasterizing, and contribution to atmospheric turbulence research (Adaptive Optics & RINGSS).

Executive-Marketing Lead at Auckland University Indian Society (AUIS)

March 31, 2024 - October 16, 2025

Aimed to grow the astronomy community in Auckland via space-themed events and initiatives; built strategic relationships with student clubs and local organizations; secured sponsorships and partnerships.

APSS-3 Team Member at Auckland Programme for Space Systems (APSS)

March 7, 2024 - Present

Involved in on-board instrumentation ideation and CubeSAT design discussions; contributed to industrial use-case brainstorming and sensor selection.

Team Coordinator at CubeSAT Mission Proposal Contest

March 3, 2024 - Present

Coordinated a team to develop a sustainable CubeSAT design and mission proposal; identified mission goals, risks, and satellite servicing considerations; prepared a market-focused, implementable design.

Team Member at CubeSAT Mission Proposal Contest

March 3, 2024 - Present

Participating in sustainable design and mission proposal development; contributed to risk mitigation and system-level design discussions for CubeSAT.

Executive - Marketing Lead at SpaceHub UOA

March 1, 2024 - October 16, 2025

Grew Auckland’s astronomy community through space-themed events and initiatives; organized social/industry events and built networks with individuals and companies in the space sector.

Research Incubator Participant (MethaneSAT) at MethaneSAT Research Incubator

January 31, 2024 - October 16, 2025

Participating in the incubator to identify methane emission sources; exploring methane genesis, methane flux, hypoxic waters, phytoplankton, and dam-related hydroelectric research; introductory GIS remote sensing and Earth observation study.