Kalanjali Cheemarla

About Kalanjali Cheemarla

Data-driven AI/ML Engineer with 4+ years of experience designing, developing, and deploying machine learning and deep learning solutions that deliver measurable business impact. I specialize in building end-to-end ML pipelines, scalable data workflows, and production-ready AI systems using Python, SQL, PyTorch, TensorFlow, and cloud platforms (AWS, Azure). My expertise spans NLP, generative AI, reinforcement learning, and LLM fine-tuning (LoRA/QLoRA), supported by strong MLOps practices including CI/CD, model monitoring, and API deployment.

Experience

1. Ai Ml Engineer

   J.P. Morgan

   Jan 2024 — Present · US

   Engineered and deployed advanced machine learning models using Python, PyTorch, and AWS SageMaker, enhancing real-time frauddetection and reducing false positives by 30%, protecting millions in transactions.• Architected and optimized large-scale data pipelines with Apache Spark and SQL, improving model training efficiency by 25% and enablingfaster insights for critical financial operations.• Integrated NLP solutions into the Contract Intelligence (COiN) platform, automating legal document data extraction, accelerating processingby 40%, and reducing manual review efforts.• Established MLOps best practices including CI/CD pipelines, model monitoring, and versioning, ensuring high operational stability,reproducibility, and seamless deployment of AI solutions.• Developed generative AI models to create personalized investment strategies, improving client engagement by 15% and supporting datadriven decision-making for wealth management.• Led fine-tuning and optimization of large language models (LLMs) using LoRA and QLoRA techniques, enhancing performance, reducingcompute costs, and supporting scalable AI initiatives.

Education

• Nalla Malla Reddy Engineering College

  Bachelor of Technology

  2017 — 2021

• Central Michigan University

  Master

  2022 — 2024