Jaya Munagala — AI & ML Engineer

About Me

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From healthcare pipelines to financial AI — I build production-grade ML systems that are accurate, scalable, and built to last.

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I'm an AI and ML Engineer with 5+ years of experience building Generative AI, RAG systems, and production data pipelines across finance and healthcare.

At American Express, I build LLM-based agent workflows and scalable pipelines processing 10M+ records/day — improving automation, accuracy, and operational efficiency.

My work spans LLM applications, RAG architectures, predictive modeling, and end-to-end ML lifecycle management from feature engineering through deployment and drift monitoring.

My Career Journey

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B.S. Computer Science KL University

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AI/ML Engineer Novisync

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M.S. Data Analytics Univ. of North Texas

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AI Engineer USAA

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Gen AI Engineer American Express

Experience

Gen AI Engineer

American Express

Feb 2025 – Present

Building LLM agent workflows, RAG systems, and AI-driven financial automation at one of the world's largest credit card companies.

Designed AI-driven automation and transaction intelligence combining LLM agents, ML models, and cloud pipelines — reducing manual effort by 60%.
Built AI-powered transaction categorization improving classification accuracy by 8.4% and reducing manual review by 18%.
Developed RAG and multi-agent AI systems using FAISS, semantic chunking, and hybrid retrieval — improving response accuracy by 35% and reducing latency by 25%.
Engineered data pipelines processing 10M+ records/day using DuckDB, Polars, Snowflake, AWS S3, and BigQuery — cutting runtime from 23 min to 8–10 min.
Supported model deployment via AWS SageMaker and Lambda with CI/CD, improving deployment efficiency by 30%.
Implemented monitoring frameworks with drift detection and human-in-the-loop validation — improving reliability by 30% and reducing production issues by 40%.

AI Engineer

USAA

Jan 2024 – Feb 2025

Productionized ML models for risk, fraud detection, and member services in a heavily regulated financial environment.

Designed ML solutions for risk, fraud, and member service workflows across insurance and banking.
Built scalable end-to-end ML pipelines for ingestion, feature engineering, training, deployment, and monitoring.
Productionized predictive models in batch and real-time workflows for high-volume operations.
Implemented model monitoring and drift detection for compliance in a regulated financial environment.
Created technical documentation and validation artifacts for governance and knowledge transfer.

AI / ML Engineer

Novisync, Inc.

Apr 2021 – Dec 2023

Built healthcare AI systems analyzing EHR data, clinical notes, and real-time patient streams for 450,000+ patients.

Built a healthcare analytics platform analyzing EHR data and clinical notes, reducing patient triage time by 18%.
Built streaming pipelines using Azure Data Factory, Databricks, and PySpark for 450,000+ patients.
Applied NLP using Hugging Face Transformers to classify risk and predict readmissions — increasing accuracy by 16%.
Created predictive models using gradient boosting, LSTM, and contextual embeddings via Azure ML and FastAPI — improving intervention coverage by 22%.
Implemented real-time triaging using Kafka, Docker, and Kubernetes — maintaining 99.5% uptime.

Projects

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Interview Intelligence Engine

Full-stack AI platform that records interviews, transcribes with OpenAI Whisper, and delivers role-specific feedback using GPT-3.5. Features filler word analysis, WPM tracking, downloadable PDF reports, and privacy-first UX.

AI OpenAI React TypeScript Node.js

View Code

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Resume Analyzer & Job Match Predictor

AI-powered tool that analyzes resumes and provides personalized career enhancement suggestions with semantic similarity scoring, ATS optimization, and intelligent job matching using advanced NLP.

AI NLP Python Machine Learning

View Code

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ML Pipeline Dashboard

Comprehensive dashboard for data scientists to build, monitor, and manage ML workflows. Features real-time pipeline tracking, model performance monitoring, and automated alerting.

MLOps React Dashboard Analytics

View Code

More Projects

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Healthcare Analytics Platform

Patient analytics platform featuring real-time medical data visualization, secure authentication, and role-based access control for clinical decision-making workflows.

Healthcare PySpark Kafka

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Data Pipeline Optimization

Real-time analytics pipeline for medical data using Spark, Hadoop, and AWS infrastructure with low-latency patient segmentation algorithms.

Big Data AWS Spark

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Financial RAG System

Production-grade RAG system using FAISS, semantic chunking, and hybrid retrieval for internal financial knowledge and workflow automation at scale.

RAG FAISS LangChain

Get In Touch View All on GitHub

Skills

Core stack across AI/ML engineering, Generative AI, data pipelines, and cloud infrastructure.

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AI / ML

LLMs RAG Systems Multi-Agent AI Hugging Face LangChain LoRA / PEFT MLflow AutoML Reinforcement Learning Explainable AI

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Data Engineering

ETL Pipelines Apache Beam Kafka Airflow PySpark DuckDB Polars Snowflake BigQuery

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Cloud & Infra

AWS SageMaker AWS Lambda AWS S3 GCP Azure ML Docker Kubernetes REST APIs CI/CD

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Languages & DBs

Python SQL Java PostgreSQL MySQL Hive

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Monitoring & Viz

Prometheus Grafana Streamlit Plotly Drift Detection

Education

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Master's in Advanced Data Analytics

University of North Texas

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Bachelor's in Computer Science

Koneru Lakshmaiah College of Engineering

Get In Touch

Open to AI/ML engineering roles and interesting collaborations.

Send a Message

Whether you're building AI systems or exploring GenAI — let's connect.

✉️ Email jmunagala24@gmail.com 💼 LinkedIn jayareddy-munagala 🐙 GitHub JayReddyMunagala 📞 Phone +1 972-591-1398