Ansh Mittal

Machine Learning Engineer @ Guidewire Software | Image Recognition, GANs, Diffusion, Python

United States

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Updated 1 month ago

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About

M.S. in Computer Science with 3 years of industry experience specializing in Machine Learning, focusing on scalable, robust, and real-time Computer Vision and NLP solutions. He specializes in developing end-to-end ML pipelines, applying metric-driven optimization, implementing Neural Rendering Algorithms, and working with Large Language Models. He is proficient in Python and adeptly combines innovative engineering with practical deployment strategies to deliver personalized and impactful AI solutions. For more, check out his Github: https://github.com/AnshMittal1811, Scholar: https://scholar.google.com/citations?user=rG4ZgtMAAAAJ&hl=en, Medium: https://medium.com/@anshm18111996.

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What does a Machine Learning Engineer II earn?

Experience (8 roles)

Full-time · 1 yr 11 mos

Current

2 roles · Apr 2024 - Present

Machine Learning Engineer II

Current

Jun 2025 - Present · 9 mos·Hybrid

Machine Learning Engineer

Apr 2024 - Jun 2025 · 1 yr 3 mos·Hybrid

Senior CV Engineer (Founding)

Remix Inc. · Full-time

Sep 2023 - Dec 2023 · 4 mos·San Francisco Bay Area · Hybrid

helped me get this job Developed a Virtual Teleporter experience for real-time dynamic scenes, optimizing neural network architectures for efficient processing. • Spearheaded R&D efforts to ensure accurate spatial and temporal data capture • Implemented Vision-grounded language for 3D Virtual Telepo...

AI/ML Computer Vision Research Engineer

USC Information Sciences Institute · Full-time

Aug 2023 - Jul 2024 · 1 yr·California, United States · Remote

• Conducted research on Neural Radiance Fields for applications in Neural Rendering and 3D Graphics Compression. • Authored a comprehensive survey on the advancements and future prospects of Neural Radiance Fields. • Explored the utilization of NeRFs in diverse domains like Geospatial, Astronomy, an...

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Education (2)

University of Southern California

Aug 2021 - May 2023

Grade Point: 3.8 Courses Taken: CSCI 561 (Foundation of Artificial Intelligence) CSCI 570 (Analysis of Algorithms) CSCI 566 (Deep Learning and its Applications) CSCI 544 (Applied Natural Language Processing) CSCI 513 (Autonomous Cyber Physical Systems) CSCI 677 (Advanced Computer Vision) CSCI 571 (Information Retrieval and Web Search Engines) Graded: CSCI 544 (Applied Natural Language Processing)

Bharati Vidyapeeth's College of Engineering

2015 - 2019

Grade: 8.97/10.00 Activities and societies: Research Papers Written, Conferences attended, Smart India Hackathon 2018 and 2019 Worked on several research papers with my professors during my undergraduate courses. These were: 1) AIGOS (Artificially Intelligent Geo-Orbital Synchronization) System 2) AiCNNs (Artificially-integrated Convolutional Neural Networks) for Brain Tumor Prediction 3) Data Augmentation Based Morphological Classification of Galaxies Using Deep Convolutional Neural 4) Detecting Pneumonia Using Convolutions and Dynamic Capsule Routing for Chest X-ray Images Also won the Smart India Hackathon 2018 under the guidance of Ms. Preeti Nagrath.

Skills (18)

TeamCityMySQLPythonReactReduxSeleniumAWSGitHubFastAPITensorFlowPostgreSQLTeamCityLaTeXTemporalSageMakerDockerPythonOptical Character Recognition (OCR)

Certifications (2)▼

Quantum Machine Learning (QGSS2021)

IBM

RCR at USC

CITI Program

Publications (2)▼

Neural Radiance Fields: Past, Present, and Future

Arxiv · Apr 21, 2023

On Multi-Agent Deep Deterministic Policy Gradients and their Explainability for SMARTS Environment

Arxiv · Jan 23, 2023

Honors & Awards (1)▼

Smart India Hackathon 2018

Issued by Ministry of Human Resources & Development · Apr 2018

Associated with Bharati Vidyapeeth's College of Engineering, GGSIPU We created a project LOGAVIM (LOgical Graph Augmented to Virtual Indian Map), which utilized the Light Gradient Boosting method for end-to-end mapping of routes for Post offices across the nation. We also developed a mobile application to let the users know the estimated time of delivery of their packages.