Building Intelligent Systems, Not Just Models.
I'm Tharun Chandran — an AI/ML-focused Computer Science student passionate about learning by building real-world systems. I don't just train models; I focus on bridging the gap between theory and implementation, turning ideas into practical, production-ready solutions through continuous experimentation and hands-on development.
My Mindset
"Every project is a way to explore new concepts in applied artificial intelligence and machine learning. Alongside system design, I am actively exploring research-oriented AI work—especially in intelligent systems, automation, and applied machine learning—to deepen my understanding of how AI solves real-world problems."
Connections Make
Us Stronger.
I believe real growth comes from the people, ideas, and support systems around us. Whether I'm learning, building projects, or working on AI systems, I value trust, collaboration, and meaningful connections — because they help turn effort into something greater.
Alone we improve. Together we grow.
Skills Explored
AI / Machine Learning
Frameworks & Libraries
Backend & AI Deployment
Data & Tools
Research & Systems Thinking
COMPLETE
Projects Completed & Deployed
MLOPS-PIPELINE
MLOps Pipeline System
Production-ready ML infrastructure
End-to-end machine learning pipeline for training, evaluation, and deployment of models into production environments.
AGRI-VISION
Tomato Leaf Disease Detection
Image Processing & Deep Learning
Image Processing & Deep learning-based image classification system utilizing Convolutional Neural Networks to accurately detect and classify tomato plant leaf diseases from images.
GEOSAT Analysis
Satellite Image Analysis System
Geospatial Environmental Monitoring
Geospatial machine learning system for analyzing land use changes and environmental patterns using satellite imagery, remote sensing indices (NDVI/NDBI), and GIS data.
Completed & Ongoing Researches
Satellite Image Analysis for Land Use Change Detection
- Processing multi-temporal datasets
- Applying remote sensing indices to detect spatial and temporal changes
Machine Learning for Computational Drug Discovery
- Applying machine learning techniques in drug discovery workflows
- Leveraging data-driven models to support molecular analysis and screening
ResearchIQ – AI Research Assistant System
- Retrieval-Augmented Generation (RAG) and semantic search
- LLM-based summarization for scientific literature exploration
FIELD EXPERIENCE
AI/ML Engineering Intern
Fintelex
- Developed and deployed machine learning models for production use cases.
- Built FastAPI-based inference and backend pipelines for AI systems.
- Worked on integrating ML models into application workflows.
- Focused on improving system efficiency and deployment readiness.
Founder & Creative Lead
Studio 006
- Managed and operated a photography studio specializing in weddings, portraits, and candid photography.
- Led end-to-end client photography projects.
- Managed shoot planning, execution, and post-processing workflows.
- Built creative direction for visual storytelling and branding.
Education
BSc (Hons) in Computer Science with Artificial Intelligence
Coventry University, UK
- Focused on core computer science foundations with specialization in artificial intelligence, machine learning systems, and software engineering.
Higher National Diploma in Computer Science with AI
NIBM, Sri Lanka
- Completed as an academic pathway program leading into the BSc degree.
- Covered foundational and applied computing concepts with a focus on AI and software development.
GCE Advanced Level (A/L) – Commerce Stream
St. Thomas’ College, Matale
- Built a foundation in business, economics, accounting, and analytical thinking, which now supports my interest in building practical AI systems with real-world value.
GCE Ordinary Level (O/L)
Royal English School, Matale
- Completed secondary education with a foundation in core academic disciplines.
Leadership & Community
This section highlights my involvement in leadership roles and technical communities, reflecting my engagement in both organizational leadership and the broader engineering ecosystem.
President
Leading club activities focused on coordination, planning, and execution of academic and community initiatives.
- Responsible for managing members and organizing events.
- Ensuring structured leadership within the club.
University Ambassador
Serving as a university ambassador representing IEEE Innovation Nation Srilanka.
- Actively promoting IEEE activities and encouraging student participation.
- Strengthening engagement within the engineering and research community.
University Ambassador
Acting as a university ambassador for IEEE Industry Applications Society.
- Contributing to awareness of industry-focused engineering applications.
- Supporting technical community engagement.
Event Chair
Appointed as Event Chair for an IEEE research workshop.
- Responsible for planning, organizing, and coordinating the event.
- Managing academic structuring, logistics, and execution.
Let's Build
Something Great.
I’m always open to collaborating with people who are interested in building meaningful AI/ML projects and doing applied AI research.
I enjoy working with others to turn ideas into real systems - whether that means building an AI tool, experimenting with machine learning models, writing research papers, or creating something unique that can help others.
- AI/ML project development | Hackathons
- AI Integration for Robotics & IOT
- Applied AI research | Multidisciplinary AI Research
- Open-source collabs - AI tools and infrastructure
If you’re building something meaningful in AI | ML or engineering, Doing any Research and need any assistance - Let's connect.