Resume
Sudarshan Koirala
Senior GenAI Engineer · Data Scientist · AI Educator
Contact
Espoo, Finland · basicsdatascience@gmail.com · LinkedIn · GitHub · YouTube
Summary
Senior GenAI Engineer with experience across enterprise AI, machine learning, MLOps, cloud data platforms, and technical education. Builds production-oriented AI/ML solutions using LLMs, Python, Databricks, AWS, Azure OpenAI, and modern ML engineering practices.
Experience
KONE Oyj
2022 - Present · Espoo, FinlandSenior GenAI Engineer · Current role
- Lead development of AI/ML-driven generative AI solutions for enterprise use cases.
- Design automated workflows for ML solutions and guide teams on MLOps best practices.
- Prototype and deliver LLM solutions using AWS Bedrock, Azure OpenAI, Databricks, and related platforms.
- Support SRE practices, reliability, and operational readiness for AI systems.
Data Scientist · Earlier KONE role
- Built data science and machine learning solutions before moving into the Senior GenAI Engineer role.
- Applied Python, SQL, cloud tooling, and ML workflows to industrial and enterprise data problems.
Nokia Solutions and Networks Oyj
2020 - 2021Thesis Worker to Machine Learning Trainee
- Worked on NLP-based event discovery from social media feeds using spaCy and pre-trained models.
- Implemented end-to-end deep neural networks for tabular data.
- Served as scrum master for a team of 15 trainees.
Data Science Basics
2022 - PresentContent Creator
- Create practical tutorials on AI, data science, Databricks, LLMs, and developer tools.
- Publish learning series covering Databricks, LangChain, LlamaIndex, AI coding tools, and agent workflows.
Education
M.Sc. (Technology), Computer Science · Aalto University
2019 - 2021 · GPA 4.27/5
Major: Big Data and Large-Scale Computing · Minor: ML, DS & AI
B.Eng., Software Engineering · Metropolia University of Applied Sciences
2018
B.Sc., Physics · Tribhuvan University, Nepal
2010
Skills
Languages: Python, SQL, PySpark, JavaScript
AI / ML / LLMs: LangChain, LlamaIndex, RAG, Azure OpenAI, Amazon Bedrock, PyTorch, MLflow, XGBoost
Data & Cloud: Databricks, AWS, Azure, Apache Spark, Docker, GitLab CI, Terraform
Tools: Claude Code, GitHub Copilot, KIRO, Git, Linux