I'm a Senior Software Developer and AI/ML Data Scientist with over 9 years of experience designing scalable AI-powered systems, backend microservices, and production-ready machine learning pipelines. I specialize in LLM integration, RAG architectures, conversational AI, computer vision, and full-stack Python development. I'm skilled at deploying cloud-native applications with Kubernetes, monitoring AI systems using telemetry tools, and building reliable APIs for machine learning services. I have strong expertise with OpenAI APIs, Hugging Face, PyTorch Lightning, FastAPI, Docker, Kubernetes, and Azure cloud solutions. I'm passionate about creating intelligent, scalable, and resilient AI products for real-world applications.

Daniel Siminiuc

I'm a Senior Software Developer and AI/ML Data Scientist with over 9 years of experience designing scalable AI-powered systems, backend microservices, and production-ready machine learning pipelines. I specialize in LLM integration, RAG architectures, conversational AI, computer vision, and full-stack Python development. I'm skilled at deploying cloud-native applications with Kubernetes, monitoring AI systems using telemetry tools, and building reliable APIs for machine learning services. I have strong expertise with OpenAI APIs, Hugging Face, PyTorch Lightning, FastAPI, Docker, Kubernetes, and Azure cloud solutions. I'm passionate about creating intelligent, scalable, and resilient AI products for real-world applications.

Available to hire

I’m a Senior Software Developer and AI/ML Data Scientist with over 9 years of experience designing scalable AI-powered systems, backend microservices, and production-ready machine learning pipelines. I specialize in LLM integration, RAG architectures, conversational AI, computer vision, and full-stack Python development. I’m skilled at deploying cloud-native applications with Kubernetes, monitoring AI systems using telemetry tools, and building reliable APIs for machine learning services. I have strong expertise with OpenAI APIs, Hugging Face, PyTorch Lightning, FastAPI, Docker, Kubernetes, and Azure cloud solutions. I’m passionate about creating intelligent, scalable, and resilient AI products for real-world applications.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Work Experience

Senior Software Developer at Nory
August 1, 2025 - August 26, 2025
Designed production-grade backend systems using FastAPI with modular API layers for AI model inference and data services. Architected multi-service systems with Docker and managed deployments on Kubernetes using Helm, adopting GitOps workflows. Integrated telemetry pipelines using Prometheus, Grafana, and Pyroscope for full-stack observability across microservices. Implemented CI/CD pipelines with Azure DevOps to automate builds, testing, and deployments for AI-backed services. Developed secure SSO authentication systems using Keycloak with OAuth2 and OpenID Connect integrations. Built distributed task orchestration with Celery and RabbitMQ to support large-scale AI inference pipelines. Engineered GraphQL endpoints using Ariadne alongside traditional RESTful services. Tuned database operations in PostgreSQL for optimized high-load inference services. Conducted load testing with Locust and end-to-end backend validation using Pytest.
Senior AI/ML Data Scientist at AI Guild
November 1, 2023 - August 26, 2025
Developed Retrieval-Augmented Generation (RAG) systems by integrating OpenAI GPT-3.5 APIs with Qdrant vector databases for semantic document search. Fine-tuned transformer models such as Llama 3.1 and BLOOM using domain-specific datasets and distributed training via PyTorch Lightning. Built conversational AI pipelines using LangChain with memory retrievers, tool agents, and dynamic prompt chaining techniques. Designed real-time document ingestion workflows using FastAPI and embedded semantic search pipelines with SentenceTransformers. Implemented telemetry monitoring for LLM performance using Langsmith, Prometheus, and Grafana to track token usage, latency, and query success rates. Automated model tracking, versioning, and deployment using MLflow to maintain a reproducible research-to-production workflow. Deployed LLM-powered APIs onto Azure Machine Learning Studio infrastructure, optimizing batch inference and endpoint throughput. Built hybrid retrieval systems by combining dense vect
AI/ML Backend Data Scientist at Avantevo
March 1, 2023 - August 26, 2025
Built backend services and inference APIs using FastAPI and Flask for real-time ML model consumption. Deployed containerized AI inference endpoints via Docker managed through Kubernetes clusters. Developed distributed task queues with Celery and RabbitMQ to support batch inference and retraining pipelines. Implemented database storage systems using PostgreSQL and MongoDB for managing model metadata. Integrated telemetry monitoring stacks with Prometheus and Grafana. Established SSO security practices across backend APIs using Keycloak and JWT authorization. Led backend migration projects from monolith to microservices architecture using Kubernetes namespaces and service mesh. Developed ETL pipelines supporting large-volume AI training data ingestion using Pandas and SQLAlchemy. Configured Gitlab CI/CD pipelines and enforced code quality assurance via SonarQube.
AI/ML Backend Data Scientist at Saffron
March 1, 2019 - August 26, 2025
Built computer vision models using OpenCV and object detection frameworks like YOLOv5. Prototyped AI pipelines on embedded Linux devices using Docker for lightweight deployment. Automated data preprocessing tasks using Pandas, NumPy, and custom data augmentation scripts. Developed microservices with Flask and FastAPI for real-time video analysis and robotic navigation. Integrated robotic control systems using computer vision-driven localization and event detection. Built visualization dashboards with Plotly Dash for AI model output monitoring. Conducted lightweight CNN optimization experiments using PyTorch Mobile tools. Supported academic research on robotic vision by writing experimental code in Jupyter Notebooks.

Education

Bachelor’s Degree in computer science at University of Bucharest
September 1, 2012 - October 1, 2015

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services