Vinat Goyal

AI Researcher

Navi Mumbai, Maharashtra, India3 yrs 6 mos experience

Most Likely To Switch

Key Highlights

Expert in deploying machine learning models in real-world applications.
Developed a multimodal deep-learning architecture achieving 91% accuracy.
Skilled in accelerating model inference using CUDA.

Stackforce AI infers this person is a Computer Vision and Data Science Engineer with a focus on security and insurance applications.

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Skills

Core Skills

Computer VisionMachine LearningData ScienceResearch

Other Skills

API developmentData AnalysisData analysisData preprocessingData processing scriptsDeep LearningDocument classificationDynamic user authenticationGun detection system developmentKerasLiterature surveyMicrosoft Power BIPower BISynthetic dataset creationTensorFlow

About

Versatile Computer Vision and Data Science Engineer with a B.Tech in Computer Science and Engineering from the Indian Institute of Information Technology. Experienced in deploying machine learning models in the insurance and software industries, with a strong ability to conduct literature surveys and develop optimal models for real-world applications. Skilled in accelerating model inference using CUDA for efficient performance. ResearchGate: https://www.researchgate.net/profile/Vinat-Goyal

Experience

Strayos

Computer Vision & AI Engineer

Feb 2025 – Present · 1 yr 1 mo · St Louis, Missouri, United States · Remote

Eagle eye networks

Computer Vision Engineer

Sep 2023 – Feb 2025 · 1 yr 5 mos · Remote

Developing and optimizing gun detection system for video surveillance focusing on enhancing accuracy and efficiency.
Created synthetic datasets, conducted experiments, and optimised the model to achieve the best performance and reliability in real-world applications.
Streamlined data fetching and processing by writing scripts to convert data into various formats for improved workflow efficiency.

Gun detection system developmentSynthetic dataset creationData processing scriptsComputer VisionMachine Learning

Skylark drones

Machine Learning Intern

Feb 2023 – Jun 2023 · 4 mos · Remote

Munich re

Data Science Intern

Sep 2022 – Jan 2023 · 4 mos · Mumbai, Maharashtra, India · On-site

Developed DocNet, a multimodal deep-learning architecture for the task of Document classification. The model achieved an accuracy of 91% over 11 classes. Designed the model using the BERT and the DiT model architectures using the Hugging face library.
Created an API using FastAPI to deploy the model using the docker container. The model resulted in a 75% reduction in underwriter processing time.
Cleaned and analyzed the policy and claims data of one of the company’s clients. Also, designed the foundations of the Power BI dashboard for the client to provide them with actionable insights.

Deep LearningDocument classificationAPI developmentData analysisPower BIMachine Learning+1

Center for visual information technology, iiit hyderabad

Summer School Fellow

Jul 2022 – Aug 2022 · 1 mo

Tata research development and design centre (trddc)

Research Intern

May 2022 – Jul 2022 · 2 mos

Contributed to a fresh project in the company that aimed at researching the feasibility of dynamic authentication of users.
Conducted extensive literature survey on past approaches to detect cloaked phishing campaigns. Developed a Python script to collect and preprocess mouse and keystroke data for dynamic user authentication, utilizing techniques such as data preprocessing, feature engineering, and normalization to prepare the data.
Utilized machine learning techniques such as LSTM (Long Short-Term Memory) networks to train individualized binary classifiers to distinguish between genuine users and imposters, achieving an average accuracy of 79.70% over 5 users.

Dynamic user authenticationLiterature surveyData preprocessingResearchMachine Learning

Indian institute of technology, indore

Undergraduate Research Intern

Nov 2021 – Mar 2022 · 4 mos

Worked with the Signals and Software Group (SaSg) of IIT Indore. Worked on a research project. The paper has been accepted at the COMSNET conference.

Indian institute of information technology, pune

Summer Research Intern

May 2021 – Jul 2021 · 2 mos

Worked with Dr Sanjeev Sharma in the field of deep learning and wrote a research paper titled "Classification of Textures using Transfer Learning for Visual Data".

Deep LearningResearchMachine Learning