Leo Lindén Email & Phone Number

Stockholm County, Sweden

Stockholm, Stockholm County, Sweden

As the Product Marketing Manager, I lead our product marketing efforts and drive the development and execution of our strategy, reporting directly to the CEO. I work closely with senior stakeholders, including VPs and department heads, to ensure our marketing initiatives align with overall business objectives.Key Responsibilities:- Establishing and scaling.

Stockholm, Stockholm County, Sweden

-Helping foundational model companies with fine-tuning and RLHF for large language models -Fine Tuning of LLM's for end users-Design and optimisation of RAG architectures & components

Stockholm, Stockholm, Sverige

- Partner with research teams from foundational model companies to establish model evaluation criteria and shape training datasets.-Provide expertise in dataset creation and model evaluation for supervised fine-tuning, advising companies on optimal data strategies.-Co-hosted a webinar with a Databricks ML researcher, discussing best practices when.

Stockholm, Stockholm County, Sweden

Worked as a Data Scientist/Engineer at Echo State, a Swedish consultancy startup that helps clients create business value from data. Projects included business intelligence, data engineering, and data science. Participated in growing the company 18 employees in one city to over 40 and offices in two countries during my tenure.- Contributed to internal.

Stockholm, Suède

Teaching assistant in the courses Linear Algebra (SF1624), Multivariable Calculus (SF1626) and Introductory Maths (SF0003), at KTH Royal Institute of Technology.I prepared and held tutorials and seminars for undergraduate students. Marked hand-ins the two first courses and the exam in the latter.

Phd Candidate (Not Completed), Genetics & Deep Learning, Not Completed

-Focused on deep learning foundational models and transformers applied to genetics with a focus on Alzheimer's. Idea was to build a model.

Master'S Degree (Msc), Applied Mathematics, Distinction (76.09%)

Grading Scale: Distinction (>70 %), Merit (>60 %), Pass (>50 %) Degree Project (Grade 80%): I used a combination of hidden Markov models.

Bachelor'S Degree (Bsc), Engineering Physics, Gpa 4.74/5.00

Year 1: Linear Algebra - A Fundamentals of Programming and Computer Science (Python) - A Classical Physics - A Mechanics I - A Single.

Introduction To Law, Vg

Summer course introducing the methodes and concepts in the swedish law and the judicial system. Most areas of the subject were touched.