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Samuel Lokadjaja
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About me
CS @ TU Darmstadt | Quoniam Asset Management
Education
Technische Universität Darmstadt
2019 - 2022Bachelor of Science Computer ScienceBachelor's thesis:Extended the Variational Inference by Policy Search (VIPS) algorithm to improve its performance in approximating complex multimodal probability distributions.
Technische Universität Darmstadt
2022 - 2025Master of Science Computer ScienceMaster's thesis:Developed a self-supervised method to create symbolic representations of time series data using variational autoencoders.
Experience
Technische Universität Darmstadt
Jun 2021 - Mar 2023Student AssistantStudent assistant at the System Security Lab and Laboratory for Parallel ProgrammingTeaching assistant for the courses:- Mathematics 1 for Computer Science- Computational Engineering and Robotics
Software AG
Apr 2023 - Mar 2024Working Student - Data Science- Developed a data quality dashboard that automates data profiling, error detection and correction using machine learning techniques- Optimized open-source LLMs using finetuning and retrieval-augmented generation to generate machine code for manufacturing applications
Quoniam Asset Management
Apr 2024 - nowMachine learning for fixed income portfolio management Developed data pipelines to process financial data using Apache Airflow
Intern - Portfolio Management
Apr 2025 - nowWorking Student - Data Engineering
Apr 2024 - Mar 2025
Licenses & Certifications
- View certificate
Investment Management with Python and Machine Learning
EDHEC Business SchoolSept 2024
- View certificate
Investment Foundations
CFA InstituteDec 2023
Honors & Awards
- Awarded to Samuel LokadjajaStudienabschluss-Stipendium Technische Universität Darmstadt Oct 2024
- Awarded to Samuel LokadjajaDeutschlandstipendium Horst Görtz Stiftung Dec 2023
- Awarded to Samuel LokadjajaStudienabschluss-Stipendium Technische Universität Darmstadt Jun 2022
Volunteer Experience
Data Analyst
Issued by MI4People
Associated with Samuel Lokadjaja
Languages
- inIndonesian
- enEnglish
- geGerman
- chChinese
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