Work

2024 - present - DataAnnotation

Train SOTA models for coding-related tasks across various languages (Typescript, Python, Go, Rust, Java, etc.) and domains (CLIs, APIs, servers, web apps, full-stack, CI/CD pipelines, LLMs, etc). Create meticulously crafted prompts to challenge models and annotate their responses. Integrate AI agents into applications and utilize AI coding tools. Transferable skills include AI, AI agents, large language models, data annotation, AI applications, AI integration, and AI coding tools.

2024 - 2025 - Morgan Stanley

I am currently working as a Software software developer with the trading programs team of the institutional trading division. I am working with C++ and Python to maintain and improve the trading programs throughout the whole Software Development Life Cycle (SDLC). Since these platforms allow traders to place and execute orders, I am learning a lot about trading and order management.

2023 - Ribbon Communications

I have worked professionally as a software engineer intern in the cloud native team where I used Go, Kubernetes (Openshift) and Docker, Prometheus, etcd and Mongodb. I have learned a lot about cloud native technologies and how they can be used together to build scalable applications. I saw the whole picture, from small microservices to large distributed systems.

2022 - Kruger Inc.

I have worked as a data engineer intern where I built business intelligence dashboards foor internal teams using PowerBi and Microsoft SQL Server. I grew gained a strong experience with SQL and gained knowledge with Business Intelligence concepts, from ETL to data lakes and data warehouse, to data visualization.