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Balaji Nissenkarao
Mid-level Machine Learning Engineer specializing in AI/LLM systems
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ML/LLM systems engineer who has owned AI support automation products end-to-end, including ServiceNow-integrated incident routing, RAG-based resolution suggestion systems, and production stabilization. Stands out for combining hands-on platform work across PySpark, AWS Glue, FastAPI, Kubernetes, and Pinecone with measurable operational impact, including 30-35% MTTR reduction and 25-30% improvement in first-touch resolution.
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Key Strengths
- owned ML deployments end-to-end from discovery through post-launch stabilization
- productionized LLM/RAG workflows with structured outputs and fallback controls
- strong stakeholder management with support teams and pilot-based rollout validation
- debugged non-deterministic AI production incidents by isolating pipeline and embedding issues
- built reliable data/document ingestion pipelines for messy real-world inputs
- designed monitoring and retraining loops for production ML systems
- delivered measurable support operations impact
- improved mean time to resolution by 30-35%
- improved first touch resolution by 25-30%
- reduced manual ticket reassignments significantly
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