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Srija Komaraneni
Mid-level AI Software Engineer specializing in backend systems and FinTech AI
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Data engineering/software development candidate who built a stock market pipeline and uses that project to demonstrate strong architectural thinking across Kafka, Spark, and Airflow. They stand out for a pragmatic approach to AI: using tools like Copilot, ChatGPT, LangChain, and AutoGen to accelerate development while maintaining human oversight, testing, and system-level decision making.
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Key Strengths
- thoughtful AI-assisted development with strong validation and testing discipline
- hands-on architecture of a stock market data pipeline using Kafka, Spark, and Airflow
- strong system design and problem-framing mindset
- experience structuring multi-agent workflows with specialized responsibilities
- ability to coordinate complex components while isolating failures
- keeps current on AI trends through direct experimentation and primary technical sources
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