Open to opportunities

Pavankumar Chandu

@pavankumarchandu

Message

I build production RAG, LLM, and real-time machine learning systems.

United States

Message

What I'm looking for

I'm looking to build and scale reliable production AI systems, especially LLM, RAG, and real-time ML products, while partnering with engineering, product, data, and governance teams to turn research into measurable business impact.

At Dell Technologies, I architect and productionize RAG pipelines using LLMs and FAISS, improving enterprise knowledge retrieval accuracy by 30%. I also build AWS-hosted Generative AI systems and low-latency real-time inference services for high-throughput workloads.

Previously at Infosys, I developed predictive analytics, NLP, recommendation, classification, and clustering models that improved business KPIs, engagement, and model accuracy. I translated business requirements into scalable ML solutions while building distributed ETL pipelines, monitoring frameworks, and containerized deployments.

I'm focused on turning applied AI research into reliable production systems through experiment design, benchmarking, MLOps, and collaboration with product, data engineering, DevOps, and governance teams.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer

Current

Dell Technologies

Dec 2024 - Present (1 year 8 months)

Architected and productionized RAG pipelines using LLMs and FAISS, improving enterprise knowledge retrieval accuracy by 30%. Designed and deployed scalable ML and GenAI systems, improving model performance by 20%.

LLM RAG Faiss Python PyTorch Transformers fastAPI Kafka Docker MLFlow CI CD Kubernetes AWS Sagemaker S3 Lambda

Machine Learning Engineer

Infosys

Feb 2021 - Jul 2023 (2 years 5 months)

Developed and optimized ML models for predictive analytics, improving business KPIs by 25%. Built NLP and recommendation systems, increasing user engagement by 20%.

XGBoost scikit learn TensorFlow Transformers NLP Recommendation Systems Spark Hadoop Docker Kubernetes CI CD A B Testing

Junior Machine Learning Engineer

Infosys

Jul 2020 - Jan 2021 (6 months)

Developed and evaluated classification and clustering models, boosting model accuracy by 15%. Performed feature engineering and statistical analysis to enhance model performance.

scikit learn SQL Pandas Tableau Power BI Flask AWS