Design and implement AI/ML applications and pipelines using LLMs, GenAI platforms, and custom models to address real-world engineering challenges.
Build intelligent agents and user interfaces that integrate seamlessly into engineering workflows.
Develop robust data ingestion, transformation, and analysis pipelines tailored to chip design and debug use cases.
Build distributed computing architectures and scalable backend services.
Design intuitive user interfaces and intelligent agents for engineering teams.
Implement robust ETL pipelines and integrate with SQL/NoSQL databases.
Collaborate with team leads to ensure timely delivery and high-quality solutions.
Provide technical support and training to internal teams, helping resolve issues and improve adoption.
Engage in cross-functional initiatives to solve technical problems across departments.
Continuously contribute to the innovation and evolution of tools, technologies, and user experiences.
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