Hello, I'm

Ranjith
Kumar

A Software Developer & AI Enthusiast.
I learn, develop, and optimize AI models for real-world applications. Currently building intelligent systems at the intersection of research and application.

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MSc in AI

Driven by curiosity,
fueled by coffee.

Currently pursuing an MSc in Computing (Artificial Intelligence) at Dublin City University. With a background in Computer Science from KCT, I’m focused on the intersection of deep learning and practical application, currently refining my expertise in the heart of Dublin's tech hub.

My experience spans frameworks like PyTorch and tools such as Transformers and LangChain. Recently honored with the Best Process Excellence Award for my final year project on an Intelligent Healthcare Assistant.

AI
ML
DL
Active in AI Research
Developer Profile
🏆
Best Process Award

Received at the TTT Conference for the Intelligent Healthcare Assistant final year project.

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DCU '26

My Journey

2021 - 2025

MSc in Computing(AI)

Dublin City University

Specialized in Artificial Intelligence and Machine Learning. Ongoing project on Structural Causal Models with LLMs

2021 - 2025

B.E in Computer Science

Kumaraguru College of Technology

Specialized in Artificial Intelligence and Machine Learning. Completed final year project on Intelligent Healthcare Assistant.

  • Best Process Excellence Award @ TTT Conference
  • Published a Research paper on the same topic
  • CGPA: 76%
Oct 2024 - Dec 2024

AI Intern Trainee

Infosys Springboard

Designed and implemented a system for detecting fraudulent signature verifications using:

  • Edge Detection
  • Contour Analysis
  • Pixel-Based Matching
Feb 2024

Inter-University Competition
@ kahedu.edu.in

3rd Place

Achieved third place in Remote Sensing using ML competition for geospatial data processing.

Featured Projects

Innovations at the intersection of AI, Healthcare, and Computer Vision

SCM Custom LLM Python

Structural Causal Models with LLMs

An advanced AI system integrating structural causal models and large language models for improved causal inference and decision-making.

View on GitHub
SCM
Python Custom LLM Computer Vision

Healthcare Assistant

A comprehensive AI solution featuring an interactive prescription chatbot, computer vision for document extraction, and voice-enabled disease prediction.

View on GitHub
Healthcare
CNN DataFlow

Remote Sensing

Award-winning satellite-based remote sensing project using ML for geospatial data processing. Achieved 3rd place in inter-university competition.

Remote Sensing
Data Engineering ANN

Student Performance

Analyzed student performance patterns using the Open University Learning Analytics Dataset (OULAD). Implemented ANN models to predict academic outcomes.

Student performance

Publications

Publication Cover
IEEE Conference ICAECA 2025

Medical Assistance System Using Large Language Model and Medical Data Management

A multi-module system addressing healthcare personal record keeping and communication. Features prescription information extraction, fine-tuned LLM with retrieval capabilities for medical queries, and voice interaction technology.

LLM Fine-tuning Information Retrieval Voice Interface
View on IEEE Xplore DOI: 10.1109/ICAECA63854.2025.11012384

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INSIGHTS • REFLECTIONS • LEARNINGS • INSIGHTS • REFLECTIONS • LEARNINGS • INSIGHTS • REFLECTIONS • LEARNINGS •

INSIGHTS • REFLECTIONS • LEARNINGS • INSIGHTS • REFLECTIONS • LEARNINGS • INSIGHTS • REFLECTIONS • LEARNINGS •

INSIGHTS • REFLECTIONS • LEARNINGS • INSIGHTS • REFLECTIONS • LEARNINGS • INSIGHTS • REFLECTIONS • LEARNINGS • INSIGHTS • REFLECTIONS • LEARNINGS •

My Digital Garden

Insights & Reflections

Thoughts, learnings, and discoveries from my journey through AI, tech, and beyond.

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Python
NumPy
Pandas
PyTorch
TensorFlow
Scikit-learn
FastAPI
PostgreSQL
Redis
GraphQL
Celery
Apache Spark
MLflow
Airflow
Feature Stores
Docker
Kubernetes
AWS
Kubeflow
Terraform

Core Toolkit • Core Toolkit • Core Toolkit •

Production-grade ML systems & scalable backend architecture.

Let's Build Something

Do you have an idea? a challenge? or tech to talk?