I am a passionate researcher and engineer, dedicated to advancing the field of AI in manufacturing and solving data visualisation challenges.

About Me

I lead where applied research meets product engineering, turning AI research, predictive maintenance, and full-stack systems into outcomes that ship, scale, and publish. As co-founder of Cosmokode Ltd and a Research Affiliate at the University of Huddersfield, I partner with clients and institutions that need leadership, not just code.

Veda Salkar

Impact & Experience

07+

Years of Experience

15+

Projects Delivered

01

Academic Publication

Designed and built for

Cosmokode LtdFitplanexPSMMuscle Mind StoriesUniversity of Huddersfield

Career

Work Experience

University of Huddersfield

Oct 2026 – Present

Research Affiliate

University of Huddersfield

Mar 2025 – Sep 2026

Research Officer

Building a multi-tenant, real-time analytics platform for multi-machine monitoring and reviewing anomaly detection methods for multi-sensor industrial data, while designing a configuration-driven, API-integrated architecture that scales cleanly as new machines and sensors come online.

Shop and Bakery Equipment Ltd

May 2024 – Mar 2025

Software Engineer

Managed and optimised multi-site OpenCart e-commerce platforms, building bespoke UI customisations and scalable PHP/MySQL features to support client workflows.

University of Huddersfield

Oct 2023 – May 2024

Research and Development Engineer (Placement)

Researched advanced 3D reconstruction techniques for converting point-cloud data into CAD models at the Centre for Precision Technologies, and contributed to ATMAS, a workflow and asset-tracking system, across the full proof-of-concept-to-production lifecycle in an Agile environment.

Trellissoft Inc.

Apr 2022 – Aug 2022

Frontend Developer

Developed AngularJS applications supporting core business processes, while providing code reviews and technical guidance to support team productivity.

Teaminertia Technologies

Oct 2019 – Mar 2022

Frontend Developer

Built and maintained web interfaces using HTML5, CSS, JavaScript, Bootstrap, and WordPress CMS, translating stakeholder requirements into user-focused UI specifications while supporting client relationships.

Academics

Education

01

Bachelor of Computer Engineering

Goa University · 2015–2019

Completed a comprehensive curriculum in computer engineering, focusing on software development, algorithms, and hardware design.

Grade: First Class

02

MSc Computing (with Advanced Professional Practice)

University of Huddersfield · 2022–2024

Specialised in advanced computing techniques, including machine learning, data analysis, and software engineering practices.

Grade: Distinction

03

Doctor of Philosophy (PhD) in Artificial Intelligence

University of Huddersfield · 2026 – Present

Conducting research in artificial intelligence, focusing on machine learning algorithms and their applications in advanced manufacturing.

Research

View all
Machine LearningMedical ImagingHealthcare AI

Veda P. S., Dr. S. S. Sonavane

Detection and Classification of Brain Tumor using Naïve Bayes and J48 Algorithm

This paper presents a comparative study of Naïve Bayes and J48 decision tree algorithms applied to the detection and classification of brain tumours from medical imaging data. The work evaluates the effectiveness of both algorithms in supporting diagnostic decision-making, providing a foundation for further research into machine learning-assisted medical diagnosis.

Published