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Saksham Khatwani
Mid-level Software Engineer specializing in NLP and search systems
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About
Built an AI journaling app at HackCU 2025 featuring a speaking AI avatar with long-term memory via RAG (ChromaDB) and low-latency microservices coordinated through Kafka, including deployment under AMD/non-CUDA constraints using a quantized Llama 8B model. Also has Goldman Sachs experience deploying a Trade UI on Kubernetes with CI/CD rollback automation, plus a healthcare AI internship at CU Anschutz collaborating closely with physicians on diagnostic reasoning and dataset annotation.
Experience
Education
Key Strengths
- Built and demoed a production-style RAG journaling app with conversational AI avatar (HackCU 2025)
- Designs low-latency, asynchronous microservice systems using Kafka event-driven patterns
- Pragmatic model selection under hardware constraints (quantized Llama 8B; non-CUDA/AMD environment)
- Kubernetes production deployment experience in financial services; implemented fast rollback via CI/CD
- Structured reliability approach: unit testing agents/microservices plus end-to-end latency and interaction testing with logging/metrics
- Effective collaboration with non-technical clinical stakeholders; communicates via example model outputs and weekly progress updates
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