A
Abi Oppenheim
About
Detail
Buenos Aires, Argentina
Résumé
Jobs
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AI EngineerLatent AIMay 2025 - Current (1 year 2 months)• Agentic Architecture: Architected and coded a production-grade autonomous multi-agent network using LangGraph, implementing state machine choreography, self-reflection patterns, and hierarchical delegation to handle complex business logic. • LLM Optimization: Leveraged async programming and event-driven patterns (SSE/WebSockets) to optimize LLM-native performance metrics (minimizing TTFT, maximizing tokens/sec, and managing cost-per-request). • Data Pipelines & RAG: Engineered enterprise data pipelines handling high-concurrency transactional datasets; integrated vector databases to supply low-latency context to live production models. • Production Observability: Built granular tracing and deterministic evaluation pipelines utilizing LLM-a- Data DeveloperMutt DataFeb 2025 - May 2025 (4 months)• Production ML Pipelines: Co-designed and deployed high-concurrency predictive models and API backends using FastAPI, processing large volumes of heterogeneous data streams for enterprise scale. • Data Readiness: Automated ETL pipelines to transform messy, unstructured market data variables into clean, structured data lakes, laying the data readiness foundation required for downstream analytics and AI agents.
- AResearch AssistantArtificial Intelligence Laboratory, Universidad Torcuato Di TellaJan 2023 - Oct 2024 (1 year 10 months)• Focusing on natural language dynamics through machine learning applied to spoken data, including conversation flow analysis and dialogue systems. • Gained extensive experience working with complex machine learning models, particularly in low-resource data environments, helping build robust dialogue systems from sparse training sets.
- CTrainee ResearcherComputer Science Institute (Instituto de Ciencias de la Computación - ICC)Mar 2022 - Dec 2024 (2 years 10 months)• Collaborating with the ICC algorithms team on deep learning research related to user behavior in social networks. • Investigating the correlation between cultural diversity and user aggression/toxicity, hypothesizing that more diverse communities exhibit lower toxicity. • Developed a framework for human-centered AI, ensuring that the algorithms align more effectively with diverse user groups to minimize disempowerment and maximize positive interactions.
- FAssistant ProfessorFaculty of Exact and Natural Sciences, Universidad de Buenos AiresAug 2021 - Aug 2022 (1 year 1 month)• Assisted in the "Computer Workshop" course, addressing student inquiries and preparing materials. • Provided mentorship to students, promoting an inclusive and collaborative learning environment that encouraged creative problem-solving.
Education
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- Data AnalystDataCampSep 2024
- SQL (Advanced) CertificateHackerRankAug 2024
- FLicenciatura (MSc & BSc Equivalent) in Computer ScienceFaculty of Exact and Natural Sciences, Universidad de Buenos AiresJan 2017 - Jan 2024 (7 years 1 month)Advanced Database Systems, Software Engineering I & II, Pattern Recognition & Machine Learning, Deep Learning, Probability & Statistics, Computer Networking.
Publications
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- TToo few interruptions? Using data augmentation to improve offline automatic turn-taking annotationJan 2026
- IInvestigating the Relationship Between User Specialization and Toxicity on Reddit: A Sentiment Analysis ApproachJan 2024
- QQuantifying Cultural Diversity in Social Networks: A Community Embedding ApproachJan 2023
- TToxicity, Polarizations, and Cultural Diversity in Social NetworksJan 2022