Manik Goyal

AI Researcher

New York, New York, United States7 yrs 2 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Master's candidate in Machine Learning at Columbia University.
Developed advanced vision models with minimal supervision.
Experience in both industry and academic research.

Stackforce AI infers this person is a Machine Learning Engineer with a focus on Computer Vision and Software Development.

Contact

Skills

Core Skills

Machine LearningSoftware Development

Other Skills

TensorflowCaffeBlenderOpenCVPythonCC++Data StructuresAlgorithmsArtificial Intelligence (AI)BashMySQLDjangoGitLaTeX

About

I am a Master's Degree candidate at Columbia University, New York, with a focus on Machine Learning. I completed my Bachelors in Computer Science and Engineering from Indian Institute of Technology (BHU), Varanasi. I am passionate about machine learning and software development. My interest lies in building vision models that require less supervision.

Experience

7 yrs 2 mos

Total Experience

1 yr 6 mos

Average Tenure

11 mos

Current Experience

Walmart global tech

2 roles

Senior Machine Learning Engineer

Promoted

Oct 2022 – Jun 2025 · 2 yrs 8 mos · Hoboken, New Jersey, United States

Machine LearningSoftware Development

Machine Learning Engineer

Mar 2021 – Oct 2022 · 1 yr 7 mos · Hoboken, New Jersey, United States

Machine LearningSoftware Development

Walmart ecommerce

Machine Learning Intern

Jun 2020 – Aug 2020 · 2 mos · Hoboken, New Jersey, United States

Columbia university in the city of new york

2 roles

Communications Chair, Engineering Graduate Student Council

Jan 2020 – Dec 2020 · 11 mos

Graduate Teaching Assistant

Sep 2019 – May 2020 · 8 mos

Course Assistant for the Spring 2020 Natural Language Processing course taught by Prof. Yassine Benajiba
Course Assistant for the Spring 2020 Computation Biology course taught by Prof. Itsik Pe'er
Course Assistant for the Fall 2019 Deep Learning course taught by Prof. Iddo Drori

Nanyang technological university

Research Assistant

May 2018 – Jul 2018 · 2 mos · Singapore

Classification of skin cancer from skin lesion images
Examined ways to automate the classification of a skin lesion image as
cancerous or not.
Created a new deep neural network ensemble architecture that could train
over medical images even when there is a paucity of data. AUC: 0.92
Frameworks Used:Tensorflow

TensorflowMachine Learning

Codefest

Coordinator Vista

Mar 2018 – Sep 2018 · 6 mos

Developed a problem statement unique to the field of Computer Vision and relevant with current trends. Organised workshop for 2nd and 3rd-year students of IIT (BHU).

Indian institute of technology, gandhinagar

Summer Research Intern

May 2017 – Jul 2017 · 2 mos · Gujrat ,India

Transfer Learning CNNs using Synthetically Rendered Images
Developed a deep learning based Object Detector to identify packaged items in the refrigerator using only synthetically rendered image as input for Innit, Inc
Automated the synthetic rendering of refrigerator Images for a reduction in data generation and annotation time.
Spearheaded the project for pixel-level Semantic Segmentation by pre-training with real images, weakly labelled by bounding boxes.
Frameworks Used: Caffe, DIGITS, Blender, OpenCV

CaffeBlenderOpenCVMachine Learning