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Hi, I’m Santhosh Muthukrishnan, a software engineer with a strong background in building secure, scalable microservices and cloud-based applications. I enjoy blending backend systems with data science approaches to deliver high-impact solutions. I have hands-on experience with Spring Boot, Django, Flask, React, and AWS Lambda, and I love turning complex problems into clean, maintainable code. I’m a collaborative problem-solver who thrives in multi-disciplinary teams, with a track record of delivering results and mentoring others. Currently a Research Assistant at the ADAPT Centre working on multimodal AI for medical diagnosis, I’m excited to apply my skills to challenging industry problems and continue learning.…Hi, I’m Santhosh Muthukrishnan, a software engineer with a strong background in building secure, scalable microservices and cloud-based applications. I enjoy blending backend systems with data science approaches to deliver high-impact solutions. I have hands-on experience with Spring Boot, Django, Flask, React, and AWS Lambda, and I love turning complex problems into clean, maintainable code. I’m a collaborative problem-solver who thrives in multi-disciplinary teams, with a track record of delivering results and mentoring others. Currently a Research Assistant at the ADAPT Centre working on multimodal AI for medical diagnosis, I’m excited to apply my skills to challenging industry problems and continue learning.

Santhosh Muthukrishnan

Data Scientist, AI Engineer, Full Stack Developer, +2

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Hi, I’m Santhosh Muthukrishnan, a software engineer with a strong background in building secure, scalable microservices and cloud-based applications. I enjoy blending backend systems with data science approaches to deliver high-impact solutions. I have hands-on experience with Spring Boot, Django, Flask, React, and AWS Lambda, and I love turning complex problems into clean, maintainable code. I’m a collaborative problem-solver who thrives in multi-disciplinary teams, with a track record of delivering results and mentoring others. Currently a Research Assistant at the ADAPT Centre working on multimodal AI for medical diagnosis, I’m excited to apply my skills to challenging industry problems and continue learning.…Hi, I’m Santhosh Muthukrishnan, a software engineer with a strong background in building secure, scalable microservices and cloud-based applications. I enjoy blending backend systems with data science approaches to deliver high-impact solutions. I have hands-on experience with Spring Boot, Django, Flask, React, and AWS Lambda, and I love turning complex problems into clean, maintainable code. I’m a collaborative problem-solver who thrives in multi-disciplinary teams, with a track record of delivering results and mentoring others. Currently a Research Assistant at the ADAPT Centre working on multimodal AI for medical diagnosis, I’m excited to apply my skills to challenging industry problems and continue learning.

Available to hire

Hi, I’m Santhosh Muthukrishnan, a software engineer with a strong background in building secure, scalable microservices and cloud-based applications. I enjoy blending backend systems with data science approaches to deliver high-impact solutions. I have hands-on experience with Spring Boot, Django, Flask, React, and AWS Lambda, and I love turning complex problems into clean, maintainable code.

I’m a collaborative problem-solver who thrives in multi-disciplinary teams, with a track record of delivering results and mentoring others. Currently a Research Assistant at the ADAPT Centre working on multimodal AI for medical diagnosis, I’m excited to apply my skills to challenging industry problems and continue learning.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

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Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Research Assistant at ADAPT Centre (Maynooth University)

May 25, 2025 - Present

Conducted research on multimodal Alzheimer's disease diagnosis using AI, combining MRI scans and biomarker data from the ADNI dataset. Built and fine-tuned models (VLMs and traditional models) using Hugging Face pipelines and clinical features for real-world diagnosis and regression tasks. Engineered pre-processing pipelines to convert 3D MRI images into model-compatible formats (slices, projections, videos). Gained hands-on experience with Slurm-based HPC scheduling on GPU-powered HPC systems to train and evaluate large models. Evaluated explainability and performance of several VLMs (Med Gemma, LaVA-Med, Qwen 2.5, etc.). Addressed challenges in handling sparse, incomplete, and asynchronous clinical data, simulating deployment conditions under real-world data constraints.

Software Engineer at CodeMantra

April 20, 2024 - September 22, 2025

Developed and integrated microservices and cloud applications using Spring Boot, Flask, Django, React.js and AWS Lambda; built and maintained scalable APIs and cloud workflows. Optimized high-cost backend tasks, reducing cloud resource usage and cutting operational costs by more than 40%. Deployed containerised applications using Docker and AWS services (e.g., ECS, Lambda, EC2), to streamline release cycles of microservice and cloud applications respectively. Implemented Software Design Principles and Design Patterns to improve quality and upgradability across microservices. Led small teams in full-cycle development, from requirements gathering to deployment and performance optimization. Introduced automation tools and unit testing using Selenium and Cypress, reducing manual work by 30% for clients and improving testing across engineering teams. Wrote detailed documentation for several large and complex backend services, covering internal mechanisms. Conducted regular code reviews and

Software Engineer at CodeMantra

April 1, 2024 - October 2, 2025

Developed end-to-end data science pipelines and ML training pipelines; built scalable backend and data processing solutions using AWS, Node.js, Spring Boot, and React; containerized workloads with Docker; contributed to design, testing, and deployment of ML systems.

Research Assistant at ADAPT Centre

May 1, 2025 - Present

Software Engineer at CodeMantra

March 1, 2024 - March 1, 2024

Developed and integrated microservices and cloud applications using Spring Boot, Flask, Django, React.js and AWS Lambda; built and maintained scalable APIs and cloud pipelines. Designed and implemented relational and non-relational databases using PostgreSQL and MongoDB; optimized schemas, data structures, and queries for improved performance. Architected backend processes enabling smooth interaction between microservices, cloud apps, and databases. Optimized backend tasks to reduce cloud resource usage and cut operational costs by over 40%. Deployed containerised apps using Docker and AWS services (ECS, Lambda, EC2) to streamline release cycles. Investigated advanced data storage solutions, responded to incidents, implemented design principles, led small teams in full-cycle development, introduced automation via Selenium and Cypress, and mentored teammates.

Research Assistant at ADAPT Centre, Maynooth University

May 1, 2025 - November 6, 2025

Conducted end-to-end research on multimodal Alzheimer's disease diagnosis using AI, combining MRI imaging and plasma biomarker data. Performed Slurm-based HPC scheduling, literature reviews, explored Hugging Face Vision-Language Models (MedGEMMA, LLaVA-Med, Qwen 2.5), and built data preprocessing workflows to bridge 3D MRI formats with 2D model constraints. Designed experiments mindful of real-world clinical constraints and presented findings with visualization and metrics.