Pravalika Domakonda
Gen Ai Engineer @Bank of America
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WORK HISTORY
Gen Ai Engineer @Bank of America
NY, US
Engineered and deployed production-grade machine learning models for fraud detection and credit risk assessment, improving anomaly detection accuracy by 25%.Developed Python backend services (FastAPI/Flask) for model inference and internal AI tools.Implemented agentic AI workflows to automate multi-step processes in fraud analytics systems.Deployed scalable AI microservices on Azure using Docker, Kubernetes, and Node.js, supporting 1M+ daily banking transactions.Ensured AI models comply with AML, KYC, and GDPR regulations, performing governance audits and maintaining data privacy standards.
EDUCATION
Indiana Wesleyan University
Master of Science, Information Technology
ABOUT PRAVALIKA DOMAKONDA
I’m a Full Stack AI Engineer and operations professional with over four years of experience working across India and the United States. My background combines building AI-driven solutions with supporting business operations, which allows me to approach problems from both a technical and practical perspective.On the technical side, I’ve worked on developing generative AI applications, building scalable machine learning pipelines, and deploying production-ready systems—especially in healthcare and finance. I’m comfortable working with tools like Python, Java, SQL, Node.js, React, and frameworks such as FastAPI and Flask. I also have hands-on experience with cloud and DevOps tools including Azure, Docker, and Kubernetes, along with AI frameworks like PyTorch. Recently, I’ve been focused on RAG architectures and automation workflows that make AI systems more useful in real-world scenarios.Alongside my engineering work, I’ve supported leadership teams by managing schedules, coordinating operations, and tracking key deliverables. This experience has strengthened my ability to stay organized, communicate clearly, and keep projects moving efficiently.I enjoy working in collaborative environments, solving complex problems, and finding ways to use AI and data to improve processes and drive meaningful results. I’m especially interested in roles where I can combine technical expertise with business impact in fast-paced, evolving environments.
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