Mohit Motwani

Welcome! I'm a passionate computer vision engineer from London. Previously I led the Computer Vision AI Development at a London-based pre-seed startup. With a deep appreciation for all things related to Computer Vision, Deep Learning, and MLOps, I invite you to explore a glimpse of my journey.

Brarista

Computer Vision Engineer

After completing my Masters in Computer Vision, Robotics, and Machine Learning, I became a part of Brarista. The journey has been truly remarkable. The opportunity to develop a CV-based solution alongside only two other CV engineers (including the CTO) has been incredibly fulfilling due to the strong sense of ownership and the weight of responsibilities involved.

During my time at Brarista, I excelled in managing deep learning models using advanced technologies and developed a PyTorch-based library for streamlined model training. My work here improved product accuracy and played a pivotal role in maintaining the core software engine. I implemented distributed microservices for optimized resource utilization and designed scaling logic for fluctuating user traffic. It was a rewarding experience filled with impactful contributions.

Ernst & Young

During my tenure in the Data Science Team of EY's Forensic and Integrity Services Department, I had the opportunity to contribute to a diverse array of projects with a focus on fraud detection for our clients. From delving into Computer Vision tasks such as Face Recognition and Expression Recognition, to applying Natural Language Processing techniques like Entity Extraction and Tone Detection, and even developing Web Applications for automating the extraction of unstructured data into structured formats, I was involved in a wide range of impactful work. My dedication and exceptional performance in client projects were acknowledged with the prestigious Kudos Award, recognizing my unwavering commitment and outstanding results.

Axelta Systems

During my initial foray into the software engineering industry, I had the valuable opportunity to intern at Axelta Systems, an IoT company focused on services and education, located in Hyderabad. This experience allowed me to gain proficiency in visualizing real-time sensor data using d3.js and developing Android applications for real-time data visualization. It was during this internship that I first experienced a sense of accomplishment and the ability to contribute value to the world.

Projects

TrickShot

A VR game I'm currently developing. It will allow players to complete exciting trickshots. In the future releases, this will be a sandbox for creating your own trickshots in VR.

Tools: Unity, C#, VR, Blender

Nerf2Mesh with NerfStudio

My implementation of Nerf2Mesh using the NerfStudio API. Nerf2Mesh generates refined 3D Meshes from 2D Images.

Tools: PyTorch, NerfStudio, PyTorch3D

Learning Critical Edge Sets from 3D Shapes

As part of my Master's Thesis in Computer Vision, we present the first learning-based method to generate human-like 3D sketches

Graph Based Image Segmentation

To learn C++, I implemented the algorithm in Paper Efficient Graph Based Image Segmentation

My Blog

Sometimes, I like to write. Something I aspire to do more often.

Stack Overflow

Once upon a time, I enjoyed answering questions on Stack Overflow. I still do, but I used to, too.

Get in touch

Interested in collaborating with me? I am constantly seeking new and captivating opportunities in the realm of Computer Vision and Deep Learning. Don't hesitate to get in touch; I welcome any inquiries or prospects.