Elliot Soltani
π€ About me
Hey there! Itβs Elliot (MohammadHossein). Iβm an AI researcher and engineer with a background in computer vision, representation learning, and ML systems. Iβm especially interested in LLMs, agentic AI, RAG, inference/deployment, and production-ready AI software.
π’ Iβm open to contract/project work and AI engineering roles in my areas of interest where research taste and practical implementation both matter.
My work is fundamentally driven by a deep curiosity about the nature of the universe. For me, the ethereal realm of science is a fascinating, never-ending source of discovery. I channel this passion into Artificial Intelligence, the pursuit of building intelligence.
As a researcher, my goal is to delve deep into my fields of interests to develop and conceptualize novel and impactful ideas. As an engineer, I tackle simple to complex problems with grit, applying knowledge from different disciplines and my honed problem-solving skills.
π Education (Formal)
Bachelor of Science, Electrical Engineering
- Thesis: Small-Scale Autonomous Car: Design, Implementation, and Remote Monitoring | Neo Pilot E2E
- TAShips: Digital Systems 1 - Artificial Intelligence - Linear Algebra - Programming and Software Architecture - Probability and Statistics
π Experience
π§ͺ Research Experience
Aug 2025 - Present
Remote Research Assistant Under Supervision of Moein Heidari and Dr. Hacihaliloglu
- Building medical-video implicit neural representation systems, with a focus on faster training pipelines, compact models, and meta-learning directions for video representation.
Sept 2023 - May 2025
Remote Research Assistant Under Supervision of Dr. Alireza Morsali
- Helped turn the STAF idea into a working PyTorch research codebase, connecting INR experiments across inverse problems, image/SDF representation, and NTK-inspired analysis.
June 2023 - Sept 2023
Summer Intern
- Worked on aerial natural-disaster image segmentation, combining dataset analysis, class-imbalance debugging, and a PyTorch U-Net style model for challenge-scale remote-sensing imagery.
π» Work Experience
March 2022 - Sept 2022
Back-End Developer
- Helped build an IoT indoor-positioning backend used by service providers, Dockerized the Node.js/Nginx stack, and added API/load testing that made deployment and reliability work more predictable.
π Publications
π© Contact Me
Iβm always open to thoughts, ideas and feedback, feel free to email me.