- Machine Learning Engineering: Building systems with open-source models, propriety data and enhancements. Specially for Natural Language Processing (NLP), Large Language Models (LLM with ChatGPT and open source models; Prompt Engineering), Chatbots, Computer Vision (variations of Deep Learning CNN), Speech (TTS/ASR with open-source or APIs)
- Data Systems with Spark, Hadoop, Druid / Clickhouse, Databases (Oracle, PostgreSQL, MySQL), Redis /NoSQL / KV databases
- Software Development: Mostly backend with Java / Python / Scala but also full-stack development with middle tier and basic web / native iOS mobile app.