Mohit Mehta Email & Phone Number

United States

- Implemented multiple research papers on 3D asset generation utilizing Transformers such as OpenLRM(1B+ parameters) & Instant3D- Designed and built an end-to-end pipeline for texture refinement for 3D meshes using TEXture, leveraging PyTorch and FastAPI- Conducted research and developed models focused on multiview video generation using Stable Video Diffusion and CAT3D- Integrated and rendered multiple data sources using Blender including Objaverse(200k+ samples) in PyTorch for model training

New York, United States

Teaching assistant for Operating Systems(CSGY-6233)

New York City Metropolitan Area

• Developed 5 major features alongside multiple minor features as part of 3 major releases across 3 Open-Source Python Packages• Reduced package deployment and development time by 65% by optimizing DevOps and CI/CD pipeline using GitHub Actions• Integrated debugging and profiling capabilities including runtime analysis for Jupyter Notebook in Ploomber(3000+ GitHub Stars)• Added support for RDBMS like DuckDB, along with data visualization to Jupyter Notebooks in Jupysql(400+ GitHub Stars)

Brooklyn, New York, United States

• Worked under Prof. Chen Feng on Neural Radiance Fields(NeRF) and 3D constructions• Deployed multiple models and data science pipelines centered around 3D objects to NYU Greene HPC with the help of slurm, written in Pytorch, Pytorch3D, and Blender

Indore, Madhya Pradesh, India

• Developed a virtual world using Webots(in Python), SUMO, and MATLAB featuring autonomous vehicles(AV) in an urban city, with the primary goal centered around selecting an optimal 5G telecommunication tower for AV• Developed an ETL Pipeline in Python to collect and process vehicular data and 3D LiDAR scans from the simulation• Devised a memory-efficient and privacy-focused(using federated learning) deep learning model based on Google Inception with (1/30) parameters as compared to state-of-the-art(SoTA), on 3D Point Cloud Data for selecting the best telecommunication tower in real-time, with the same accuracy of 65% as that of SoTA

Master Of Science - Ms, Computer Science, 3.89/4

Coursework: Machine Learning, Artificial Intelligence, Design and analysis of algorithms, Big Data, Deep Learning, Introduction.

Bachelor Of Technology - Btech, Electrical And Electronics Engineering, 8.74/10

Activities and Societies: Electronics Club, Debating Society