Hi 👋, I'm Ben Boby
📍 San Francisco, California | 📞 +1 (510) 461-6737 | 📧 benbobyabraham@gmail.com
Portfolio • LinkedIn • Twitter / X
Machine Learning Engineer specializing in production ML systems, large-scale data platforms, LLM applications, and MLOps.
I build end-to-end AI solutions — from data pipelines → model training → deployment → monitoring → real-time inference — with a focus on scalability, reliability, and measurable impact.
- Machine Learning & Deep Learning
- Large Language Models (LLMs), RAG, Agentic AI
- Production ML & MLOps (CI/CD, model monitoring, automated retraining)
- Real-time & batch data processing (Spark, Kafka, Airflow)
- Vector Search & semantic retrieval (Weaviate, Qdrant, FAISS)
- Cloud-native AI systems (AWS, Azure, GCP)
- Edge AI & optimized inference
- Built an open-source edge AI platform for deploying Small Language Models (SLMs)
- Designed real-time inference pipelines with containerized deployment
- Developed ETL & streaming pipelines processing 20M+ IoT events/day
- Implemented data quality frameworks, drift detection, and ML-ready data infrastructure
- Delivered real-time analytics & observability systems
- Created hands-on NLP & Generative AI labs
- Built evaluation frameworks for applied LLM use cases
Languages: Python • Go • Java/Scala • SQL
ML/AI: PyTorch • TensorFlow • Transformers • PEFT • LangChain
Data Engineering: Spark • Kafka • Airflow • Hive • HBase
MLOps: Docker • Kubernetes • MLflow • Prometheus • Grafana • GitHub Actions
Databases: PostgreSQL • MongoDB • Redis • Vector DBs
Cloud: AWS • Azure • GCP
- SF Python • PyBay Volunteer
- AWS GenAI Loft • GitHub • Cloudflare • n8n Hackathons
- Active contributor to the Bay Area AI & Python ecosystem
I’m open to collaborating on:
- Production ML & LLM systems
- AI infrastructure & data platforms
- Applied GenAI products
- Open-source AI tools