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AI Engineer with 2+ years in Machine Learning & LLM Automation
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Assessing your cultural and operational fit
AI/ML Engineer and Data Scientist with nearly 2 years of experience building and deploying production-grade machine learning systems across computer vision, NLP, and LLM-powered automation. Proven track record in developing scalable AI pipelines, optimizing model performance, and deploying cloud-native AI solutions on Azure and GCP. Passionate about transforming complex data into intelligent, business-driven products.
University of Moratuwa
Bachelor of Business Science
August 1, 2022 – June 30, 2026
Uki Coding School
Diploma · Full-Stack Web Development
August 1, 2019 – June 30, 2020
M Data Zone SA Pvt (Ltd)
Associate Data Scientist
February 1, 2026 – May 31, 2026
India
M Data Zone SA Pvt (Ltd)
Junior AI/ML Engineer
January 1, 2025 – February 28, 2026
India
EPR Groupers
Machine Learning Engineer (Intern)
August 1, 2024 – January 31, 2025
India
MCP Tool Integrations
June 23, 2026 – Present
Built and integrated MCP-compatible tools for extending AI agent capabilities through structured tool interfaces and external system connectivity. Designed modular tool-calling workflows to improve agent flexibility and orchestration.
Tech Content Creator – Tech Arrear (YouTube)
June 23, 2026 – Present
Produce educational content on AI, Machine Learning, Data Science, and emerging technology trends. Create technical tutorials and practical guides to simplify complex AI/ML concepts for learners and professionals. Contribute to the tech community by sharing hands-on insights, project walkthroughs, and industry knowledge.
View ProjectAI Agent Development
June 23, 2026 – Present
Built autonomous AI agents capable of multi-step reasoning, tool calling, and workflow orchestration for real-world automation tasks. Implemented agent-based architectures using modern frameworks for scalable AI task execution.
LLM-Powered Automation Workflows
June 23, 2026 – Present
Developed RAG-based pipelines and LangChain/LangGraph agent workflows for document intelligence, semantic retrieval, and automated task execution. Designed prompt-engineered automation systems for enterprise knowledge and workflow applications.
Cultural Fit Analysis
The candidate's diverse project portfolio, including AI agent development, LLM-powered automation, and content creation, indicates a broad interest in emerging AI technologies and a desire to contribute to the tech community. Their experience aligns well with an AI Engineer role, showcasing adaptability and a passion for innovation. The blend of academic pursuits and practical application suggests a well-rounded individual.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative through personal projects and content creation, indicating a proactive and continuous learning mindset. Their experience in building internal CLI tools and enhancing deployment reliability suggests a focus on operational efficiency and best practices. The content creation also points to good communication skills for explaining complex technical topics.