Available to hire
I am Madhavi Thatha, an AI/ML engineer based in Decatur, GA, with 4+ years of experience building and deploying data-driven solutions. I specialize in Python, TensorFlow, Keras, and scikit-learn, and enjoy turning messy data into actionable models that deliver measurable business impact.
I have hands-on experience with AWS and Azure, real-time data pipelines, NLP, computer vision, and MLOps. I thrive in collaborative environments and love turning innovative ideas into scalable AI services that users trust and rely on.
Skills
Language
English
Fluent
Work Experience
AI Engineer at Ameriprise Financial
August 1, 2024 - PresentEngineered and deployed deep learning models (Autoencoders, RNNs, CNNs) in Python using TensorFlow, Keras, and Scikit-Learn to detect fraud in financial transactions, reducing fraud rates by 20% across 3M+ transactions and enhancing account security. Preprocessed, engineered, and tuned models with Pandas, NumPy, and Scikit-Learn to optimize accuracy on over 1TB of data through techniques such as data augmentation and dimensionality reduction. Architected scalable data warehousing solutions by integrating AWS services (S3, Redshift, Glue), reducing data retrieval times by 45% and increasing data processing efficiency by 20%. Leveraged Apache Kafka for real-time streaming, handling 1M+ events daily and building ETL pipelines that improved data integration efficiency by 60%. Applied NLP techniques (BERT, Word2Vec) and reinforcement learning with human feedback to boost recommendation relevance by 30% and engagement by 40%. Developed DL algorithms for LLM, NLP, CV, and Speech, and contribu
ML Engineer at Genpact
January 1, 2020 - July 1, 2023Implemented Random Forest, SVMs, and CNNs to achieve 95% accuracy in threat detection and user assistance features. Collaborated on designing and optimizing scalable applications on AWS with AutoML, achieving 40% faster processing and 20% higher prediction accuracy. Used Docker for containerized deployments and established CI/CD pipelines with Jenkins and GitLab, increasing deployment efficiency by 30% and reducing downtime by 50%. Built Django/Flask REST APIs with microservices and serverless AWS Lambda, cutting response time by 50% and improving reliability. Created React/React Native interfaces with real-time visualizations, increasing user engagement by 25%. Implemented MLOps using MLflow and Kubeflow and developed DL models with PyTorch and TensorFlow for LLM, NLP, CV, and Speech, enabling scalable MLaaS platforms.
Education
Master of Science at Campbellsville University
August 1, 2023 - May 1, 2025Qualifications
Industry Experience
Financial Services, Software & Internet
Skills
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