Jwala S .Y

Leading the development of a production-grade RAG-powered retail intelligence platform integrating GPT-4 with FAISS to process 1.2M+ product and customer interaction records. Designed scalable Python FastAPI microservices deployed via Docker on AWS ECS, handling ~12K daily inference requests with low-latency retrieval. Built structured prompt orchestration and retrieval grounding pipelines to improve LLM response consistency by 30%. Implemented agentic AI workflows using ADK and MCP-compatible context routing to enable multi-step reasoning and tool invocation within the RAG system. Established ML lifecycle automation using MLflow and Airflow to streamline model tracking, retraining, and deployment.

Developed enterprise churn prediction and fraud detection systems using XGBoost and NLP embeddings across 5M+ insurance policy records. Achieved 0.87 ROC-AUC and reduced customer attrition by 18% while lowering fraud-related losses by approximately $2M annually. Designed REST-based risk scoring services using Python FastAPI and Spring Boot microservices. Deployed containerized inference workloads on AWS Lambda and ECS, implementing CI/CD pipelines and model monitoring to maintain performance stability in production.

Worked as a Secretary for the Graduate student association - (CECH GSA) at University of Cincinnati.

Built recommendation and demand forecasting systems for eCommerce personalization. Developed collaborative filtering models increasing cross-sell revenue by 21% and time-series forecasting models reducing overstock by 17%. Designed real-time personalization APIs and conducted A/B testing for model validation. Skills: Python, , Collaborative Filtering, ARIMA, Prophet, LSTM, A/B Testing, API Development, Data Engineering

made the content more flashy and short for a newly developing website

In my role as a Human Resources Executive at Service To Mankind, I led recruitment drives, managed talent pipelines, and streamlined the onboarding process in India. I designed interview schedules and rounds to select the most suitable candidates for different departments, contributing to a more efficient hiring process and better team alignment.

• Assisted the technical team in developing and launching the organization's website https://stmorg.in, contributing to improved online visibility and engagement.

Supported predictive maintenance initiatives by analyzing manufacturing telemetry data and developing anomaly detection pipelines. Improved equipment uptime by 12% through feature engineering and operational analytics.

Energetic and enthusiastic professional with a passion for continuous learning and dynamic environments. Known for strong dedication, seamless team coordination, and leadership qualities. Skilled in managing tough situations, creating a positive atmosphere, and consistently meeting deadlines. Excellent soft skills and the ability to connect with diverse groups, fostering a collaborative and interactive work environment. Proactive in supporting colleagues and driving team success.