Curriculum Vitae
Sudarshan Koirala
Senior GenAI Engineer at KONE · AI, data science, MLOps, and technical education
Profile
Sudarshan Koirala is a Senior GenAI Engineer at KONE in Espoo, Finland, with a background in data science, machine learning, software engineering, and physics. His work focuses on practical enterprise AI systems, generative AI, MLOps, data platforms, and education through Data Science Basics.
Professional Appointments
Senior GenAI Engineer · KONE Oyj
Current role · Espoo, FinlandLeads and contributes to AI/ML-driven generative AI solutions, automated ML workflows, SRE practices for AI systems, LLM prototyping, and MLOps guidance for data science teams.
Data Scientist · KONE Oyj
Earlier KONE role · Espoo, FinlandBuilt data science and machine learning solutions using Python, SQL, cloud tooling, and ML workflows before progressing into the Senior GenAI Engineer role.
Thesis Worker to Machine Learning Trainee · Nokia Solutions and Networks Oyj
2020 - 2021Worked on NLP event discovery from social media feeds with spaCy and pre-trained models, implemented deep neural networks for tabular data, and served as scrum master for a 15-person trainee team.
Content Creator · Data Science Basics
2022 - PresentCreates public tutorials and articles on AI, data science, Databricks, LLMs, developer tools, agent workflows, and applied machine learning.
Education
Aalto University
M.Sc. (Technology), Computer Science · 2019 - 2021 · GPA 4.27/5
Major: Big Data and Large-Scale Computing · Minor: Machine Learning, Data Science and Artificial Intelligence
Metropolia University of Applied Sciences
B.Eng., Software Engineering · 2018
Tribhuvan University, Nepal
B.Sc., Physics · 2010
Technical Areas
- Generative AI, RAG, LLM prototyping, applied AI engineering, and enterprise AI workflows.
- MLOps, model tracking, automated ML workflows, CI/CD, reliability, and production readiness.
- Databricks, Apache Spark, PySpark, SQL, Python, AWS, Azure, Azure OpenAI, Amazon Bedrock, and MLflow.
- Technical education, tutorial design, and developer-focused AI communication.
Selected Public Work
- Data Science Basics YouTube channel covering AI, data science, Databricks, LLMs, and developer tools.
- Omnigent: The Meta-Harness for All Your AI Agents
- Prompt vs Context vs Harness Engineering
- Databricks Data + AI Summit 2026: Every Big Announcement, Explained Simply
Selected Tutorials
- 30 Days of Databricks tutorials for practical lakehouse and AI workflows.
- LangChain and LlamaIndex walkthroughs for RAG and agent-style applications.
- AI developer tool reviews and implementation notes for modern coding workflows.
Professional Interests
- Reliable enterprise AI systems and MLOps practices for production teams.
- LLM application design, evaluation, observability, and workflow automation.
- Teaching complex AI and data platform concepts in practical, beginner-friendly ways.
Languages
English (fluent) · Nepali (native) · Finnish (beginner) · Hindi (satisfactory)