Eswar (Rao) R.
AI Agent Evaluation Specialist
Experience
AI Agent Evaluation Specialist
JP Morgan Chase
Implemented an Agentic AI solution using Smart Agentic SDK to automate deceased verification, replacing manual LexisNexis checks.
Built multi-agent workflows to cross-verify obituary and certificate data.
Designed a 10-point confidence model and automated decision routing, cutting manual review by 75% and boosting accuracy to over 90% through real-time API integration and compliance alignment.
Developed a RAG pipeline with FAISS vector search and AWS Bedrock Claude 3.7 to convert BRD rules into structured JIRA stories.
Integrated React and Flask architecture for seamless automation, improving story generation speed by 70% and consistency by 40%, and standardized backlog creation through LLM-based summarization.
Designed a TOPSIS-based ML model to trigger dynamic credit line increases using behavioral and risk data.
Built propensity models predicting six-month customer engagement with over 90% accuracy, automating credit decisions and improving timing precision by 35%.
Built a RAG-based conversational assistant using LangChain, OpenAI API, and ChromaDB for contextual document Q&A.
Implemented session-aware retrieval chains and deployed the application via Streamlit.
Data Scientist
IBM
- Developed a machine learning–driven renewal prediction model for the Enterprise Services team to proactively assess contract renewal likelihood before expiry.
- Leveraged Logistic Regression, Random Forest, and ARIMA forecasting to identify key renewal factors and predict outcomes with over 90% accuracy.
- Automated data preparation, feature selection, and visualization workflows in R, reducing manual analysis time by 40% and improving renewal forecasting precision by 25%.
- Enabled data-backed client retention strategies through actionable analytical insights.
Software Engineer 2 AI ML
Microsoft
- Developed forecasting models to predict Windows activation trends using ARIMA, achieving over 90% accuracy.
- Automated data preparation and visualization in R, reducing analysis time by 35% and improving sales forecasting precision by 20%.
Senior Consultant Data Science
Deloitte
- Developed a machine learning model to predict patients’ likelihood of disease risk using Decision Tree, Random Forest, and SVM algorithms.
- Extracted and engineered features from Oracle SQL data.
- Applied statistical analysis to detect patterns and anomalies.
- Delivered actionable insights to clinical stakeholders, enabling data-driven preventive care decisions.
Senior Software Engineer Data Science
HSBC
- Built predictive AI/ML models for Liquidity Management Programs to assess and forecast customer risk and liquidity exposure using regression and classification techniques.
- Designed and optimized models to evaluate transaction patterns, cash flow behaviors, and portfolio stability.
- Enabled proactive risk mitigation, improved liquidity forecasting, and data-driven decision-making for financial planning and compliance.
Languages
Education
Andhra University
Bachelor of Science · Computer Science · Visakhapatnam, India
Certifications & licenses
Azure ML Udemy Academy
Certification In Artificial Intelligence & Machine Learning.
Coursera Certified PYTHON Programmer
Coursera
Leadership & Team Management
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