AI Engineer & Team Lead
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- 10315 Berlin
- Weltweit
- pt | en | es
- 01.08.2024
Kurzvorstellung
Qualifikationen
Projekt‐ & Berufserfahrung
1/2023 – 10/2023
Tätigkeitsbeschreibung
- Deployed dockerized academic OCR and Computer Vision models for text and table extraction
- Devised an innovative chunking algorithm and backend pipelines powered by Langchain and written in Python
- Desgined the frontend using NextJS and React, leveraging popular design systems (ant design) to ensure modern and intuitive user interfaces
- Extended the frontend to include a Chrome Browser Extension to facilitate engagement
- Orchestrated the data collection and insight generation workflow through user research, feedback components and dashboard visualizations
- Strategically utilized a serverless AWS infrastructure, leveraging DynamoDB and AWS Lambda for resource optimization, successfully scaling the product's user base to over 30,000 while maintaining an exceptional 99.99% uptime
Langchain, Large Language Models, Python, Typescript, Amazon Web Services (AWS), JavaScript, React (JavaScript library)
12/2022 – 12/2022
Tätigkeitsbeschreibung
- Devised the collaborative framework for the development team, pushing standards and methodologies to ensure rapid development cycles.
- Owned the data collection procedures to drive business insights.
- Maintained a Langchain Dense Passage Retrieval QA pipeline with OpenAI
Embeddings over curated document base.
- Implemented state-of-the-art techniques for RAG optimization, such as query enrichment through metadata embedding.
- Deployed the dockerized application to Azure using Terraform
Mongodb, Langchain, Vektordatenbank, Python, Microsoft Azure
12/2022 – 12/2022
Tätigkeitsbeschreibung
- Created a ReAct Agent with smart-memory management using Langchain and deployed it serverlessly via a dockerized FastAPI in Python.
- Implemented complex Data Connectors for third party applications such Whatsapp, Telegram and Notion (Mostly REST APIs)
- Customly scraped and converted complex HTML structures into readable markdown summaries of a plethora of websites, including Youtube and Github.
- Deployed the dockerized application serverlessly to AWS Cloud
Langchain, Large Language Models, Docker, Python, Amazon Web Services (AWS)
12/2019 – 12/2021
Tätigkeitsbeschreibung
- Succesfully designed and developed an orchestrated backend to ingest and transform the data.
- implemented over 500 stories in a 100k+ LoC codebase, which included a PostgresSQL DB and fully automated Python Apache Spark ETL Pipeline, hosted on AWS (using RDS, Glue, Athena, S3)
- Ensured continuous stability, reliability and replicability through extensive unit and end-to-end testing, Infrastructure as Code and CI/CD.
- Served as Agile Coach for 3 teams for a total of 12 developers for over a year.
Amazon Web Services (AWS), Apache Spark, Python
Ausbildung
ISCTE - Instituto Universitário de Lisboa
Lisbon, Portugal
Über mich
Weitere Kenntnisse
Persönliche Daten
- Englisch (Fließend)
- Deutsch (Grundkenntnisse)
- Spanisch (Gut)
- Portugiesisch (Muttersprache)
- Europäische Union
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