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KM
Kowshika M
Mid-level AI/ML Engineer specializing in LLM fine-tuning, inference optimization, and AI safety
Santa Clara, CAMachine Learning Engineer5 years experienceMid-LevelTechnologyFinancial ServicesHealthcare
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About
AI/LLM engineer with production experience at NVIDIA, where they fine-tuned and deployed a financial-services chatbot and cut latency ~50% using TensorRT + NVIDIA Triton, scaling via Docker/Kubernetes. Also has consulting experience at Accenture delivering a predictive maintenance solution for a logistics network, bridging non-technical stakeholders with actionable dashboards.
Experience
Machine Learning EngineerNVIDIA
Machine Learning EngineerScale AI
Software EngineerAccenture
Education
Oregon State Universitymaster, Computer Science
Vignana Bharathi Institute of Technologybachelor, Information Technology
Key Strengths
- Built and deployed a production LLM chatbot for financial services using domain-specific fine-tuning
- Reduced inference latency by ~50% via TensorRT optimization and deployment on NVIDIA Triton
- Designed scalable production deployments using Docker containerization and Kubernetes orchestration
- Established reliability practices with unit/integration testing and automated CI/CD (Jenkins/GitHub Actions) plus MLflow
- Pragmatic model/RAG/prompting selection based on task complexity, data constraints, and latency requirements
- Translated non-technical stakeholder needs into technical requirements and operational dashboards (predictive maintenance/logistics)
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