Open to opportunities

Kuram Sindhu

@kuramsindhu

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Senior AI/ML engineer and data scientist delivering scalable, production-grade ML and generative AI solutions.

United States

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What I'm looking for

I seek senior roles building production ML and generative AI systems with strong MLOps, cross-functional collaboration, governance, and measurable impact in regulated or high-scale environments.

I am a Senior AI/ML Engineer and Data Scientist with 11+ years building and scaling production-grade machine learning systems across healthcare, financial services, and enterprise SaaS. I specialize in designing end-to-end ML lifecycles, production MLOps, retrieval-augmented generation, and transformer optimization to deliver reliable, cost-efficient AI systems.

My work has improved fraud detection and forecasting accuracy, reduced infrastructure costs through optimization, and enabled high-throughput clinical and enterprise AI platforms serving millions of queries. I lead cross-functional teams, implement governance and explainability workflows, and drive measurable business impact via robust monitoring, CI/CD, and scalable architecture.

Experience

Work history, roles, and key accomplishments

Current

Lead AI/ML Engineer

Current

Palantir Technologies

Mar 2021 - Present (5 years)

Led design and production rollout of enterprise AI systems serving 3M+ monthly queries, accelerated deployment cycles by 40%, and reduced inference infrastructure costs by 30% through LoRA fine-tuning and quantization while improving answer reliability and compliance readiness.

RAG LoRAs Kubernetes MLFlow SHAP Vector Databases Distributed Training fastAPI

Senior Data Scientist

DataRobot

Sep 2016 - Feb 2021 (4 years 5 months)

Developed fraud detection and risk scoring models improving detection accuracy by 25% and built forecasting models that increased precision 20–30%, while engineering scalable Spark-based feature pipelines that cut processing time by 35%.

Fraud Detection Spark SQL SHAP A B Testing

Machine Learning Engineer

Uniphore

Jul 2013 - Aug 2016 (3 years 1 month)

Built NLP intent classification and sentiment models for conversational AI, improving model accuracy by 15% and reducing automated response latency by 30% through scalable preprocessing and REST inference services.

NLP Sentiment Analysis PyTorch REST APIs