Sirisha Kondreddy

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.

Experience

Education

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