Available to hire
Hello! I’m Kamesh Jammigumpula, an AI/ML engineer based in Atlanta, GA, with 4+ years of hands-on experience building end-to-end ML solutions across healthcare, finance, retail, and telecom. I enjoy turning messy data into actionable insights and deploying scalable ML pipelines that drive real business value.
In roles at Northern Trust and TCS, I worked on NLP, forecasting, anomaly detection, and model deployment on AWS and GCP, with a strong emphasis on reliability, collaboration with product teams, and measurable improvements in performance and operational efficiency.
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Language
English
Fluent
Work Experience
AI/ML Engineer at Northern Trust
September 1, 2024 - PresentBuilt and deployed ML and deep learning models across travel, logistics, retail, and financial domains using Python, R, TensorFlow, Keras, and Scikit-learn. Maintained scalable ML pipelines for data ingestion, feature engineering, model training, and serving in production. Performed data extraction, cleaning, validation, and EDA, improving dataset readiness by 35%. Developed NLP frameworks for text classification, entity extraction, and NLU with 20% better user experience metrics. Created visualizations and dashboards with Tableau and ggplot2 to communicate trends and model outputs. Designed SQL-based ETL pipelines, reducing manual analytical effort by 40%.
ML Engineer at TCS
August 1, 2020 - April 1, 2023Designed, trained, and deployed ML and deep learning models across retail, logistics, restaurant, and supply chain domains, boosting operational accuracy. Built end-to-end MLOps pipelines (Azure Databricks, MLflow, Data Factory, Logic Apps) enabling automated monitoring and reducing model drift incidents by 40%. Developed scalable ETL and streaming pipelines (Kafka, Python, Scala) reducing data processing time by 35%. Deployed models and microservices with Docker, Kubernetes, and Azure Container Services, lowering deployment downtime by 25%. Led the development of transformer-based search using RoBERTa, ElasticSearch, Celery, Redis, and Flask. Created forecasting models for supply chain operations to improve demand prediction and reduce stock-outs. Built cloud-based data analytics platforms on AWS & GCP and designed CI/CD workflows for ML apps with Kubernetes runtimes. Conducted ML proofs-of-concept and produced production-ready AI solutions in NLP, computer vision, and predictive anal
Education
Master of Science – Computer Science at Auburn University
January 11, 2030 - December 1, 2024Master of Science in Computer Science at Auburn University
January 11, 2030 - December 1, 2024Master of Science – Computer Science at Auburn University
January 11, 2030 - December 1, 2024Qualifications
Infosys Artificial Intelligence Beginner
January 11, 2030 - December 8, 2025AWS Cloud Practitioner
January 11, 2030 - December 8, 2025Azure Associate Developer
January 11, 2030 - December 8, 2025AWS Certified Machine Learning
January 11, 2030 - December 8, 2025Azure AI Engineer
January 11, 2030 - December 8, 2025Artificial Intelligence Beginner
January 11, 2030 - December 8, 2025AWS Cloud Practitioner
January 11, 2030 - December 8, 2025Azure Developer Associate
January 11, 2030 - December 8, 2025AWS Certified Machine Learning
January 11, 2030 - December 8, 2025Azure AI Engineer
January 11, 2030 - December 8, 2025Infosys Artificial Intelligence Beginner
January 11, 2030 - December 8, 2025AWS Cloud Practitioner
January 11, 2030 - December 8, 2025Azure Associate Developer
January 11, 2030 - December 8, 2025AWS Certified Machine Learning
January 11, 2030 - December 8, 2025Azure AI Engineer
January 11, 2030 - December 8, 2025Industry Experience
Healthcare, Financial Services, Retail, Telecommunications, Transportation & Logistics, Travel & Hospitality, Software & Internet, Professional Services
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