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Hi! I'm Sushma Mundlamuri, an AI/ML Engineer with 9 years of experience specializing in building, fine-tuning, and deploying scalable AI-driven solutions across various sectors such as healthcare, aerospace, gaming, telecom, and finance. I have hands-on expertise working with large language models like GPT-4 and other state-of-the-art technologies to create impactful applications like clinical decision support, supply chain risk prediction, and real-time fraud detection. I enjoy collaborating closely with domain experts and cross-functional teams to bring data science and machine learning models from concept to production. My passion lies in leveraging AI responsibly to solve real-world problems, from healthcare diagnostics to digital transformation in telecom. I'm always eager to learn and share knowledge to drive innovation with AI.…Hi! I'm Sushma Mundlamuri, an AI/ML Engineer with 9 years of experience specializing in building, fine-tuning, and deploying scalable AI-driven solutions across various sectors such as healthcare, aerospace, gaming, telecom, and finance. I have hands-on expertise working with large language models like GPT-4 and other state-of-the-art technologies to create impactful applications like clinical decision support, supply chain risk prediction, and real-time fraud detection. I enjoy collaborating closely with domain experts and cross-functional teams to bring data science and machine learning models from concept to production. My passion lies in leveraging AI responsibly to solve real-world problems, from healthcare diagnostics to digital transformation in telecom. I'm always eager to learn and share knowledge to drive innovation with AI.

Sushma Mundlamuri

AI Engineer, Data Scientist, AI Prompt Engineer, +1

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Hi! I'm Sushma Mundlamuri, an AI/ML Engineer with 9 years of experience specializing in building, fine-tuning, and deploying scalable AI-driven solutions across various sectors such as healthcare, aerospace, gaming, telecom, and finance. I have hands-on expertise working with large language models like GPT-4 and other state-of-the-art technologies to create impactful applications like clinical decision support, supply chain risk prediction, and real-time fraud detection. I enjoy collaborating closely with domain experts and cross-functional teams to bring data science and machine learning models from concept to production. My passion lies in leveraging AI responsibly to solve real-world problems, from healthcare diagnostics to digital transformation in telecom. I'm always eager to learn and share knowledge to drive innovation with AI.…Hi! I'm Sushma Mundlamuri, an AI/ML Engineer with 9 years of experience specializing in building, fine-tuning, and deploying scalable AI-driven solutions across various sectors such as healthcare, aerospace, gaming, telecom, and finance. I have hands-on expertise working with large language models like GPT-4 and other state-of-the-art technologies to create impactful applications like clinical decision support, supply chain risk prediction, and real-time fraud detection. I enjoy collaborating closely with domain experts and cross-functional teams to bring data science and machine learning models from concept to production. My passion lies in leveraging AI responsibly to solve real-world problems, from healthcare diagnostics to digital transformation in telecom. I'm always eager to learn and share knowledge to drive innovation with AI.

Available to hire

Hi! I’m Sushma Mundlamuri, an AI/ML Engineer with 9 years of experience specializing in building, fine-tuning, and deploying scalable AI-driven solutions across various sectors such as healthcare, aerospace, gaming, telecom, and finance. I have hands-on expertise working with large language models like GPT-4 and other state-of-the-art technologies to create impactful applications like clinical decision support, supply chain risk prediction, and real-time fraud detection.

I enjoy collaborating closely with domain experts and cross-functional teams to bring data science and machine learning models from concept to production. My passion lies in leveraging AI responsibly to solve real-world problems, from healthcare diagnostics to digital transformation in telecom. I’m always eager to learn and share knowledge to drive innovation with AI.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Sr AI/ML Engineer at Indiana University Health, Indianapolis, IN

November 1, 2023 - Present

Collected and preprocessed multimodal MRI and PET imaging data ensuring consistency for deep learning pipelines. Engineered CNN and autoencoder-based pipelines for Alzheimer’s disease progression biomarkers. Applied transfer learning with ResNet and EfficientNet for improved early detection. Fine-tuned GPT-4 to generate structured radiology summaries. Built RAG pipelines with FAISS and ChromaDB for clinical question answering. Deployed models with FastAPI, Flask, and Streamlit dashboards. Managed experiment tracking and containerized deployments on Google Cloud Vertex AI with CI/CD. Collaborated with clinicians for validation and compliance, ensuring HIPAA adherence. Visualized model features using attention heatmaps and provided weekly technical syncs to cross-functional teams.

AI/ML Engineer at Boeing, Jacksonville, FL

November 1, 2023 - August 1, 2025

Designed and deployed ML models (XGBoost, LightGBM) to predict aircraft component supply chain disruptions. Processed multi-source datasets including supplier, logistics, and real-time inventory data using Snowflake and Python. Engineered features from news articles and ERP data with TF-IDF, NER, and embeddings. Developed ETL workflows via Apache Airflow to maintain data freshness and model retraining. Incorporated SHAP explainability into risk predictions for stakeholder transparency. Delivered visual insights on Tableau to procurement teams. Automated anomaly detection and alerts. Collaborated with supply chain strategists and analysts to align models with business SLAs and mitigation strategies. Applied time-series forecasting and reinforcement learning principles for inventory management and allocation optimization.

Machine Learning Engineer at Entain Plc, Las Vegas, NV

December 31, 2021 - August 1, 2025

Built ML pipelines for real-time risk scoring of transactions integrated within decisioning platforms. Developed scalable REST APIs with Flask and deployed containerized models on Kubernetes clusters for auto-scaling. Integrated streaming telemetry and logs through Apache Kafka. Collaborated with data engineers on feature store development for fraud detection models. Maintained live model monitoring using Prometheus and Grafana with drift detection alerts. Managed MLflow-based experiment tracking and robust audit trails. Partnered with backend, fraud, and compliance teams to ensure smooth deployments adhering to finance industry standards. Led A/B testing, holdout validation, and forensic analysis for false positives and model improvement.

Data Scientist at Vodafone, Hyderabad, India

August 1, 2020 - August 1, 2025

Processed large telecom datasets for analytics and machine learning tasks using Python and SQL. Developed ML models such as logistic regression, decision trees, and XGBoost for churn, fraud detection, and forecasting. Created RESTful APIs for model deployment integrated in Vodafone platforms. Designed interactive real-time monitoring dashboards with Tableau, Power BI, and Streamlit. Automated ML workflows with Airflow and participated in Agile sprints applying A/B testing and statistical analysis. Collaborated cross-functionally to align models with business KPIs. Conducted hyperparameter tuning and feature engineering. Implemented data validation checks and monitoring to maintain pipeline quality. Contributed to knowledge sharing, code reviews, and onboarding.

Python Developer at ANZ, Hyderabad, India

January 31, 2018 - August 1, 2025

Developed Python applications for transaction validation, anti-fraud, and KYC compliance in banking systems. Created REST APIs using Flask integrated with frontend securely. Automated ETL workflows to ingest and preprocess data for analysis. Built rule-based algorithms for detecting suspicious transactions with real-time alerts. Performed statistical analysis on financial datasets. Wrote unit and integration tests to ensure code quality and supported TDD. Collaborated with QA, business analysts, and DevOps teams for continuous delivery. Maintained CI/CD pipelines with Jenkins. Documented workflows and APIs for audit and team onboarding.