Ansh Mittal
5+ yrs of ML experience bridging 3D Computer Vision and LLM optimization, spanning foundational research to enterprise production. Proven track record of shipping optimized spatial pipelines and architecting large-scale agentic AI systems. Skilled in translating cutting-edge prototypes (NeRFs, Gaussian Splats) and fine-tuned Language modelsz into scalable, production-ready workflows for complex computing challenges.
A Little About Me
As a professional, my main aim is to understand how scientific processes are responsible for producing the interactions and measurements observed in the experiments and projects I work on. I use a combination of approaches and technologies for my studies. Learn more about my research and areas of study below.
Ongoing Projects
January 17, 2025
CUDAx365 Animation SetCUDAx365 black-hole simulations and Neural Radiance Field experiments for dynamic flow analysis, MHD graph kernels, and approximation studies. This featured card rotates through the animation set automatically at 2x speed.
January 2026
Stay tunedI will be adding Wireshark PCAP signal usage and the electromagnetic spectrum in enclosed environments to simulate cyber attacks.
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Blog
Earlier this year, scientists studying supermassive black holes at the centers of elliptical galaxies uncovered the cosmological coupling between the increasing mass of Central Black holes and Dark Energy.
Hi everyone, I hope you read this in good health!! It has been late but I wanted to inform you that I'd be finishing with my 250 days of Machine Learning and Artificial Intelligence Challenge.
When we look up at the night sky, we are only able to observe a fraction of the cosmos that surrounds our pale blue planet.
Resume
Explore full TimelineGuidewire
San Mateo, CA, USA • Full-Time
Leading enterprise ML systems across OCR-RAG-LLM optimization, claim summarization, geospatial hazard intelligence, digital twin simulation, and production AWS pipelines.
University of Southern California (USC ISI and USC IMSC labs)
Los Angeles, CA, USA / Remote • Full-Time
Combined USC research work across neural rendering, 3D reconstruction, split computing, and applied computer vision from lab experimentation through survey publication.
Remix Inc
Palo Alto, CA, USA • Full-Time
Built real-time novel-view-synthesis and rendering systems for dynamic 3D telepresence.
Contact Me
Thanks for the interest in my research. Reach out with questions about publications, collaborations, or future projects.
