Experience

Fellowship at the Norwegian Center for Knowledge Driven Machine Learning (INTEGREAT) in Oslo. Researching latent spaces in large language models. Supervised by the leader of the Machine Learning Group in Tromso Benjamin Ricaud and the director of INTEGREAT Arnoldo Frigessi.

Improving and creating ML pipelines for image and text analysis to extract machining data from manufacturer websites. Orchestrating load-scaling ML microservices on AWS through Terraform. Developing multi-modal embedding for CNC machining technologies. Mentoring junior team members in ML projects. Implementing self-hosted and fine tuned multimodal LLMs for technology and material extraction analysis.

Consulting on Big Data and infrastructure architecture in the cloud. Building ETL solutions on Meltano, AWS, and dbt from Salesforce and Google Ad Console using Terraform.

Building a data warehouse on Snowflake for usage data of regional media portals. Architecture and implementation of data pipelines for behavioural data ingestion. Data modeling of Snowplow data with dbt and data observability. Designing serverless microservices for data ingestions and transformations on AWS. Design of real-time database and pipeline for article recommendations.

Data scientist for three product development pods: core experience, mobile experience, and distributed experience. Researching and implementing state-of-the-art transformers for document AI. Developing causal models to understand drivers of churn, LTV, and revenue. Deriving insights from big event-log data for product decisions, AB-tests, features, and metrics.

Quantitative investment management for discretionary multi asset portfolios in UHNWI mandates. Developing methods and models for custom portfolio management. Strategic and tactical asset allocation and hedging. Architecture of automated reporting, allocation, monitoring, and scoring frameworks. Management of discretionary portfolios.

Worked on machine learning based biometric face recognition for various clients. Engaged in engineering the real-time inference pipeline and research on tracking and face index based re-identification. In this job I have acquired a Swiss security clearance (Art 11 PSPV) through an extended background check.

Non-profit progressive web app. Built a course scheduling app with a friend that was used by over 10k students and won multiple awards. Implemented a large-scale single-page application and native PWAs with a distributed crawling infrastructure.

Managed liquidity risk for 15 leasing network-banks. Automated reporting and data transformation. Conducted statistical modeling for liquidity accounts. Oversaw balance sheet and stress-model reporting and monitoring.

Portfolio Management. Conducted quantitative fundamental analysis and research on fixed-income assets. Modeled portfolio positions using VBA and Excel.

Managed a BigData platform project for tax determination. Analyzed ERP data from SAP. Developed tools for automating tax compliance and reporting.

Freelancer in the Liquidity Risk Management team. Analyzed and monitored group liquidity. Modeled and monitored stress scenarios. Implemented Basel 3 provisions. Conducted regulatory reporting to ECB and national bank.