I am an experienced AI/ML and Data Engineer with 8 years of expertise in developing and deploying machine learning models, building scalable data pipelines, and working with cloud-based solutions. I have built end-to-end AI/ML solutions across deep learning, NLP, computer vision, and big data domains, and specialize in implementing MLOps pipelines to automate the machine learning lifecycle. I am passionate about solving real-world problems using AI and continuous learning in machine learning, cloud computing, and big data. I am a collaborative team player and leader delivering AI solutions that align with tight deadlines and business impact, skilled in Python, SQL, and ML frameworks like TensorFlow, PyTorch, and Scikit-learn, as well as cloud platforms like AWS, Azure, and GCP.

Charles Talatoti

I am an experienced AI/ML and Data Engineer with 8 years of expertise in developing and deploying machine learning models, building scalable data pipelines, and working with cloud-based solutions. I have built end-to-end AI/ML solutions across deep learning, NLP, computer vision, and big data domains, and specialize in implementing MLOps pipelines to automate the machine learning lifecycle. I am passionate about solving real-world problems using AI and continuous learning in machine learning, cloud computing, and big data. I am a collaborative team player and leader delivering AI solutions that align with tight deadlines and business impact, skilled in Python, SQL, and ML frameworks like TensorFlow, PyTorch, and Scikit-learn, as well as cloud platforms like AWS, Azure, and GCP.

Available to hire

I am an experienced AI/ML and Data Engineer with 8 years of expertise in developing and deploying machine learning models, building scalable data pipelines, and working with cloud-based solutions. I have built end-to-end AI/ML solutions across deep learning, NLP, computer vision, and big data domains, and specialize in implementing MLOps pipelines to automate the machine learning lifecycle.

I am passionate about solving real-world problems using AI and continuous learning in machine learning, cloud computing, and big data. I am a collaborative team player and leader delivering AI solutions that align with tight deadlines and business impact, skilled in Python, SQL, and ML frameworks like TensorFlow, PyTorch, and Scikit-learn, as well as cloud platforms like AWS, Azure, and GCP.

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Work Experience

Senior ML/GenAI Engineer at IBM
October 1, 2024 - Present
Designed and implemented scalable, HIPAA-compliant healthcare data pipelines using AWS services including S3, Lambda, SageMaker, and FAISS for real-time semantic search with deep learning models. Developed custom PHI/PII anonymization scripts and integrated Context-aware Retrieval-Augmented Generation (RAG) workflows combining vector search with GPT-4 for summarization and Q&A of medical documents. Deployed and fine-tuned medical NLP models, managed event-driven architectures with AWS Lambda & Step Functions, and optimized compliance and monitoring using Amazon Comprehend Medical and AWS CloudWatch.
Machine Learning/GenAI Engineer at AMEX
October 1, 2024 - August 26, 2025
Designed and deployed a financial advisory assistant using LLaMA and Azure OpenAI service with Retrieval-Augmented Generation for real-time financial query responses. Built fraud detection and risk classification models integrated into onboarding pipelines. Developed ETL workflows using Azure Data Factory and data storage in Cosmos DB and PostgreSQL. Engineered real-time backend services on Azure Kubernetes Service using FastAPI and Docker. Implemented end-to-end MLOps on Azure with CI/CD, monitoring, and compliance for GenAI outputs in financial services.
Senior Data/ML Engineer at Instacart
August 31, 2022 - August 26, 2025
Designed and deployed Snowflake-based retail analytics platform supporting sales forecasting, customer churn prediction, and personalized recommendations. Engineered ETL workflows using Python, Snowflake SQL, dbt, and Kafka for real-time and batch data ingestion. Developed PySpark feature engineering pipelines and implemented model monitoring and data drift detection with Azure tools. Delivered interactive Power BI dashboards visualizing model KPIs and retail performance. Managed ML deployment with Azure ML Pipelines and CI/CD enabling end-to-end MLOps.
Data Engineer/Analyst at Livespace
March 1, 2020 - August 26, 2025
Designed and implemented data pipelines using Azure Data Factory, Apache Airflow, and PySpark to ETL data into Azure Synapse Analytics and Delta Lake. Optimized data processing and system performance, reducing latency by 40%. Developed ETL processes supporting real-time shop floor tracking with SQL Server and MES systems. Provided technical support, monitored relational databases, and implemented dashboards with Tableau and Azure Monitor for proactive issue detection.

Education

Master's in Information Systems at Southern Illinois University Edwardsville
January 11, 2030 - August 26, 2025
Bachelor's in Computer Sciences at KG Reddy College of Engineering and Technology
January 11, 2030 - August 26, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Financial Services, Retail, Software & Internet, Manufacturing