Software Engineer
& AI Researcher

I'm Gulger Mallik — crafting intelligent digital products and advancing applied AI research for real-world impact. Based in Huddersfield, United Kingdom.

07Years
100+Projects
03AcademicPublications
Cosmokode Ltd
Crowther
Fitplanex
Muscle Mind Stories
TierraSphere
University of Huddersfield

Working experience

Leadership & Recognition

  • UoH

    General Member SCE Research Ethics Committee

    July 2026 @ University of Huddersfield

  • UoH

    Researcher on UKRI funded AI for Carbon Capture & Storage

    October 2025 @ University of Huddersfield

  • UoH

    Exceptional Achievement in Computing

    June 2024 @ University of Huddersfield

  • SU

    Academic Representative for MSc

    September 2022 @ Student Union, University of Huddersfield

  • SXC

    Student Cordinator for Techlipse 2K19

    September 2019 @ St. Xavier's College, Goa

I can help you with

Research

Turn research questions into working AI systems - from exploratory prototypes to peer-reviewed results.

Consulting

Cut through AI hype with a clear, actionable adoption strategy tailored to your organisation's goals.

Software

Build reliable, scalable software - from API backends to full-stack products with AI capabilities baked in.

Workshops

Give your team the confidence to work with AI - through hands-on sessions grounded in real applications.

Kind words

Worked with me? I'd be grateful for a short professional testimonial and impact statement. It helps strengthen my profile as an international talent and, with your permission, may be featured here.

Share your experience
“One of our top MSc Computing graduates. He mastered new areas of AI from scratch and delivered a prototype that exceeded our industry partner's requirements.”

George Baryannis

Professor of Artificial Intelligence, University of Huddersfield

“Gulger is deeply knowledgeable and genuinely committed. He sets clear expectations from day one and brought real innovation and creativity to our AI project.”

Paul Grech

Data Intelligence Manager, Together Housing

“Gulger built AI software that sped up our audit preparation and measurably cut time on large jobs. Hard-working, easy to work with, and he gets the job done.”

Kristian

Senior Accounts Manager, BK Plus

“An exceptional problem-solver who stays calm under pressure, Gulger is always patient and ready to help his teammates. An excellent colleague and an asset to any team.”

Veda Salkar

Co-founder, Cosmokode

“A key member of our team for over a year, Gulger solved complex issues and managed projects effectively under pressure. Dedicated and results-driven.”

Amrit Roy

Software Engineer, TrellisSoft

“Ready to work and learn from day one, Gulger quickly became a key member of our team. His attention to detail and methodical approach are an example for all.”

Ashley Cusack

Research Fellow, University of Huddersfield

“Hard-working, quick to learn, and enthusiastic about his subject, with outstanding project work. I'd recommend him to any employer without reservation.”

Gary Allen

Senior Lecturer, University of Huddersfield

“Gulger's dedication, strong work ethic, and ability to collaborate effectively make him an asset to any team.”

Sangeet Saha

Lecturer in Embedded Systems, University of Essex

Selected Works

View all projects
XAIKnowledge GraphsAgroforestry

Integrating Machine Learning and Knowledge Graphs for Explainable Soil Organic Carbon Assessment in Agroforestry Systems

This paper proposes a hybrid artificial intelligence architecture that integrates supervised machine learning with graph-based knowledge models to support explainable soil organic carbon assessment in agroforestry systems.

Status: Under Review

Multi-Agent AIMCDMGenerative AI

Bridging Organisational Data Silos through Multi-Agent Generative Systems and Integrated Relational Governance

This paper explores the convergence of Multi-Criteria Decision Analysis, Decision Intelligence, and Stakeholder Relationship Management into a unified framework termed Hybrid Decision Intelligence (HDI), facilitated by Multi-Agent Generative Systems (MAGS) to overcome organisational data silos.

Status: Under Review

Software EngineeringResearch SystemsAutomation

ATMAS: Design, Implementation, and Evaluation of an Automated Test Management and Asset Scheduling System for a University Research Engineering Laboratory

This paper presents the design, implementation, and evaluation of ATMAS, an Automated Test Management and Asset Scheduling system developed for a university research engineering laboratory to replace spreadsheet-driven workflows.

Status: Manuscript in preparation

Have a project in mind?

Let's work together