About Me
I'm Viswas Puli — Production Support Engineer at Bank of America, with 4+ years of experience across AI/ML Engineering, Data Science, Data Engineering, and Data Analytics. I build scalable ML pipelines, deliver intelligent automation solutions, and support enterprise-grade systems. Passionate about Vibe Coding, AI-first development, and building production systems that ship. I hold a Master's in Information Technology and Management from the University of Texas at Dallas and a Bachelor's in Computer Science from Sathyabama University.
What I Do
Machine Learning & AI
End-to-end ML pipelines with SageMaker, PyCaret, and ensemble methods. Anomaly detection, churn prediction, and recommendation systems at scale.
LLMs & Chatbot Development
RAG-powered chatbots using Amazon Bedrock and LLMs. Intelligent customer support with contextual embeddings and internal knowledge bases.
Big Data & Analytics
Processing 5TB+ datasets with PySpark and Spark. Real-time dashboards with Splunk, Streamlit, Power BI, and Tableau.
Production Support & Monitoring
L3 production support with Splunk, Dynatrace, and ITIL practices. Real-time alerting, root cause analysis, and incident management.
Tech Stack
Machine Learning & AI
Languages
Data & Visualization
Cloud Platforms
DevOps & Tools
Education
Master's in IT and Management
University of Texas at Dallas
B.E. in Computer Science
Sathyabama University, Chennai
Work Experience
Click any role to see details
Production Support Engineer
Bank of America
L3 Production Support for enterprise Java Spring applications. Splunk dashboards, Dynatrace monitoring, and ITIL-based incident management.
AI / ML Engineer
Verizon
Led AI/ML initiatives for Wi-Fi router performance. Built anomaly detection pipelines with SageMaker, deployed RAG chatbots with Amazon Bedrock.
Machine Learning Engineer
Omegasoft International Inc.
Led Next-Gen Customer Engagement for retail banking. Predictive models with SageMaker, NLP for customer feedback.
Data Scientist
TechMahindra
E-commerce Personalization Initiative. Built recommendation systems, NLP models, and reinforcement learning for supply chain optimization.