Neelesh Verma

Machine Learning Engineer

Santa Clara, California, United States4 yrs 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in machine learning and computer vision.
Proficient in advanced ML frameworks like PyTorch and JAX.
Experience in innovative smart procurement solutions.

Stackforce AI infers this person is a Machine Learning Engineer specializing in AI-driven solutions for smart procurement.

Contact

neelesh.verma@stonybrook.edu +919987091963 LinkedIn

Skills

Core Skills

Adversarial Machine LearningAi SafetyDeep LearningMlops

Other Skills

Algorithm DesignAndroid DevelopmentAndroid StudioArtificial Intelligence (AI)C++Computer VisionData ScienceDeep Reinforcement LearningDiffusion ModelsGenerative Adversarial Networks (GANs)Grad-CAMJavaKubeflowKubernetesLinux

About

I hold a Master's degree in Computer Science from Stony Brook University, where I specialized in diffusion models under the guidance of Prof. Haibin Ling. Previously, I earned my Bachelor's in Computer Science and Engineering from IIT Bombay, working on speech enhancement research with Prof. Balamurugan Palaniappan. Currently, I am part of a startup, where I leverage advanced machine learning, particularly large language models (LLMs), to innovate in smart procurement solutions, including supplier and product recommendations and automated contract generation. My expertise spans Artificial Systems, Machine Learning, Computer Vision, and Deep Learning, focusing on applying statistical and mathematical models to solve real-world problems. I am proficient in C/C++, Java, LLVM, and Python, with hands-on experience in frameworks like PyTorch, JAX, and Caffe.

Experience

Oro labs

Machine Learning Engineer

Jun 2024 – Present · 1 yr 9 mos · Palo Alto, California, United States · Hybrid

Sri international

Machine Learning Researcher

May 2023 – Aug 2023 · 3 mos · Menlo Park, California, United States · On-site

ML Researcher in Neuro-Symbolic Computing and Intelligence (NuSCI) Group at SRI. Worked on Frequency based Adversarial attack localization.

Adversarial Machine LearningAI safety

Stony brook university

2 roles

Graduate Research Assistant

Promoted

Jan 2023 – May 2024 · 1 yr 4 mos

Graduate Research Assistant under Prof. Haibin Ling

Graduate Teaching Assistant

Aug 2022 – Dec 2022 · 4 mos

Graduate Teaching Assistant for CSE 353 Machine Learning

Samsung electronics

2 roles

Senior Machine Learning Engineer

Promoted

Mar 2022 – Jun 2022 · 3 mos · Bengaluru, Karnataka, India

Worked in the Penup team, involved in implementing Weekly Supervised strategy for object detection on artwork database, improved the performance of search results in the Penup app, improved image stylization latency, enhanced GAN-generated drawing quality, and handled the MLOps pipeline for development and deployment of ML models using KubeFlow.

Deep LearningPython (Programming Language)MLOpsKubernetesComputer VisionPyTorch+1

Machine Learning Engineer

Sep 2020 – Mar 2022 · 1 yr 6 mos · Bengaluru, Karnataka, India

Deep LearningPyTorchPython

Smc group

Software Engineer Intern

Jun 2020 – Aug 2020 · 2 mos · New Delhi, Delhi, India

Worked on developing an interface to listen to messages from a performance-monitoring application, developed heuristics for polling the systems, and metrics for their performance evaluation.

C++