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Sirisha Kondreddy
Senior Software Engineer specializing in Python automation and hybrid cloud integration
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About
Embodied AI / robotics-focused ML engineer with experience at JPMorgan and EY building language-to-robot control systems that connect transformer/LLM intent to safe real-world robotic actions. Designed production-grade, low-latency architectures (Kafka/Redis, monitoring, CI/CD) and applied sim-to-real and model distillation to make research ideas deployable on physical systems.
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Key Strengths
- Led end-to-end language-to-robot control pipeline integrating LLM intent with robotic execution
- Designed asynchronous event-driven architecture (Kafka + Redis) to resolve NLP latency vs millisecond control-loop timing
- Production ML engineering: modular APIs, observability (Prometheus/Grafana), CI/CD with rollback
- Edge deployment optimization via model distillation/quantization
- Strong embodied AI systems thinking: grounding model outputs with safety constraints and motion-planning filters
- Rapid decision-making under ambiguity using benchmarks/latency analysis; shipped modular prototype ~2 weeks earlier
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1 publication
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