Aniket
Pant
AI/ML ENGINEER
SANDIA NATIONAL LABORATORIES
About Me
I tackle AI/ML challenges in national security. I use advanced data science techniques to modernize the US nuclear weapon stockpile and address critical national security issues.
My work has been briefed to 1,400+ Sandians and to several high-ranking government officials and agencies, including NNSA, DOE, NASA, DHS, NRC, USAF, AFRL.
Outside of Sandia, I enjoy building data-driven web apps and working in my garden.
Experience
BUILDING AI/ML SOLUTIONS FOR NATIONAL SECURITY
Critical Skills Recruiting
Develop deep learning-based anomaly detection methods for critical additive manufacturing pipelines
Develop deep learning-based surrogate models for plasticity and damage simulations
Lead developer of ATLAS, an internal AI software package for offline, secure networks
Delivered ND Tech Talk on NLP/LLMs to ~1400 attendees including NNSA+DOE leadership
Selected for Sandia Critical Skills Recruiting (CSR) program
Research Assistant
Led expansive study on deep learning usage for automated analysis of high-speed optical videography
Published research in Communications Biology (doi: 10.1038/s42003-025-06371-7)
Research was recognized by UAB HSOM as "Featured Discovery"
Research Assistant
Developed machine learning techniques for characterization of quantum (ultrafast and optoelectronic) nanosystems
Published first-author research in Nanoscale (doi: 10.1039/D2NR03261A)
Education
Projects
TECHNICAL, PROFESSIONAL, AND COMMUNITY INITIATIVES
Clusterfunk
Big data visualization tool for analyzing and visualizing large datasets. Created with Next.js, Protocol Buffers, and GenAI. Uses topic modeling to cluster and visualize data.
ship-stream
Real-time data streaming platform for maritime vessels using worldwide AIS data. I learned Kafka, WebSockets, TimescaleDB, and Kubernetes to plot 100K+ realtime points on a Next.JS renderer.
JARVIS
VR-training environment with LLM information retrieval. Presented to high-ranking government officials, including Sen. Heinrich (NM).
Automated Drosophila Cardiac Analysis
End-to-end deep learning project for automatically segmenting high-resolution, high-speed Drosophila cardiac videos. First-author published manuscript in Commun. Bio.
OurSudoku
Realtime, multiplayer sudoku game built in Next.JS and Supabase. Responsive UI design and multiplayer principles.
Parks @ Urbana-Champaign
A personal log of parks I visited during my time at Urbana-Champaign.
Three-body Animations
Three.js-based animation of stable three-body solutions. Built after computational physics class.
ShippingGPT
Live, automated assessment of international port risk. Using LLMs, data scraping, and geocoding for business intelligence.
Meadowbrook
Learning
Garden
I lead the Meadowbrook Learning Garden, managing communications, crop calendars, sourcing, and logistics. Our mission is to provide fresh, healthy produce to the Champaign community while educating students about sustainable agriculture.
In Fall 2024, we donated 600+ pounds of produce to the City of Champaign Food Pantry, directly supporting local families in need.
Astrophotography
DEEP SKY • LUNAR • NEBULAE
Western Veil Nebula
Supernova remnant in the constellation Cygnus.