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Report abuseBackend Engineer focused on Python, Django/FastAPI, distributed systems, and AI agent systems.
I work mostly on production backend platforms, async processing, search/RAG, LLM agents, and cloud infrastructure.
| Project | Contribution |
|---|---|
celery/celery #9774 |
Fixed chord error propagation when the chord body is a chain |
celery/celery #9788 |
Fixed timeout/error propagation when a chord header fails with a group body |
celery/celery #9784 |
Added coverage for root_id / parent_id propagation in task execution |
| Project | Contribution |
|---|---|
pydantic/pydantic-ai #5188 |
Added warnings and documentation around prepare_tools returning None |
langroid/langroid #615 / #683 |
Proposed and implemented hypothetical question indexing, later generalized into RAG chunk enrichment |
huggingface/Repo2RLEnv #73 |
Fixed PR base SHA retrieval for merged PR pipelines in repository-to-RL dataset generation |
| Project | Contribution |
|---|---|
dagghe/pyOMA2 |
Co-contributor to a Python library for Operational Modal Analysis |
conda-forge/staged-recipes #27569 |
Added pyOMA2 to conda-forge |
| 📝 JOSS publication | Co-author of the peer-reviewed pyOMA2 paper |
| Project | Description |
|---|---|
django-qp |
Pydantic-powered query parameter validation for Django/DRF |
fastapi-two-factor-authentication |
FastAPI JWT auth service with optional TOTP 2FA, Celery, RabbitMQ, Redis and Postgres |
Python · Django · DRF · FastAPI · Celery · RabbitMQ · Redis · PostgreSQL · Elasticsearch · Kubernetes · GCP · PydanticAI · RAG · LLM Agents
Python module for conducting operational modal analysis
Forked from langroid/langroid
Harness LLMs with Multi-Agent Programming
Python
A JWT authentication service with 2FA option developed using FastAPI and using Celery for asynchronous email sending
Python 9
Forked from conda-forge/pyoma-2-feedstock
A conda-smithy repository for pyoma-2.
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