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I am a proactive AI & ML engineer with 5+ years of hands-on experience in developing, deploying, and optimizing machine learning, deep learning, and NLP solutions for healthcare and banking enterprises. I am skilled in building data pipelines, predictive models, and MLOps workflows using Python, TensorFlow, PyTorch, and AWS. I apply AI/ML techniques to detect anomalies, forecast risks, and automate decision systems, with a strong foundation in data engineering, ETL, model deployment, and cybersecurity to ensure secure and compliant AI solutions. I enjoy collaborating with cross-functional teams to translate business problems into data-driven solutions, and I stay current with regulatory requirements like Basel III and GDPR in financial contexts. My hands-on experience spans end-to-end AI lifecycle, from data ingestion to production monitoring, and I am passionate about building robust, auditable models that deliver measurable impact.…I am a proactive AI & ML engineer with 5+ years of hands-on experience in developing, deploying, and optimizing machine learning, deep learning, and NLP solutions for healthcare and banking enterprises. I am skilled in building data pipelines, predictive models, and MLOps workflows using Python, TensorFlow, PyTorch, and AWS. I apply AI/ML techniques to detect anomalies, forecast risks, and automate decision systems, with a strong foundation in data engineering, ETL, model deployment, and cybersecurity to ensure secure and compliant AI solutions. I enjoy collaborating with cross-functional teams to translate business problems into data-driven solutions, and I stay current with regulatory requirements like Basel III and GDPR in financial contexts. My hands-on experience spans end-to-end AI lifecycle, from data ingestion to production monitoring, and I am passionate about building robust, auditable models that deliver measurable impact.

PRANEETH TEJA RAYALA

AI Engineer, Data Scientist, Full Stack Developer, +2

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I am a proactive AI & ML engineer with 5+ years of hands-on experience in developing, deploying, and optimizing machine learning, deep learning, and NLP solutions for healthcare and banking enterprises. I am skilled in building data pipelines, predictive models, and MLOps workflows using Python, TensorFlow, PyTorch, and AWS. I apply AI/ML techniques to detect anomalies, forecast risks, and automate decision systems, with a strong foundation in data engineering, ETL, model deployment, and cybersecurity to ensure secure and compliant AI solutions. I enjoy collaborating with cross-functional teams to translate business problems into data-driven solutions, and I stay current with regulatory requirements like Basel III and GDPR in financial contexts. My hands-on experience spans end-to-end AI lifecycle, from data ingestion to production monitoring, and I am passionate about building robust, auditable models that deliver measurable impact.…I am a proactive AI & ML engineer with 5+ years of hands-on experience in developing, deploying, and optimizing machine learning, deep learning, and NLP solutions for healthcare and banking enterprises. I am skilled in building data pipelines, predictive models, and MLOps workflows using Python, TensorFlow, PyTorch, and AWS. I apply AI/ML techniques to detect anomalies, forecast risks, and automate decision systems, with a strong foundation in data engineering, ETL, model deployment, and cybersecurity to ensure secure and compliant AI solutions. I enjoy collaborating with cross-functional teams to translate business problems into data-driven solutions, and I stay current with regulatory requirements like Basel III and GDPR in financial contexts. My hands-on experience spans end-to-end AI lifecycle, from data ingestion to production monitoring, and I am passionate about building robust, auditable models that deliver measurable impact.

Available to hire

I am a proactive AI & ML engineer with 5+ years of hands-on experience in developing, deploying, and optimizing machine learning, deep learning, and NLP solutions for healthcare and banking enterprises. I am skilled in building data pipelines, predictive models, and MLOps workflows using Python, TensorFlow, PyTorch, and AWS. I apply AI/ML techniques to detect anomalies, forecast risks, and automate decision systems, with a strong foundation in data engineering, ETL, model deployment, and cybersecurity to ensure secure and compliant AI solutions.

I enjoy collaborating with cross-functional teams to translate business problems into data-driven solutions, and I stay current with regulatory requirements like Basel III and GDPR in financial contexts. My hands-on experience spans end-to-end AI lifecycle, from data ingestion to production monitoring, and I am passionate about building robust, auditable models that deliver measurable impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

AI/ML Engineer at Truist Financial

January 1, 2025 - November 26, 2025

Built and deployed ML models for fraud detection and credit risk, designed real-time data pipelines with PySpark and Airflow, and applied NLP to analyze transaction notes and customer communications. Implemented end-to-end MLOps with Docker, MLflow, and Jenkins; deployed models on AWS SageMaker; leveraged SHAP and LIME for explainability; integrated models into microservices via Flask/FastAPI; set up monitoring with Grafana/Prometheus; aligned with Basel III and GDPR data policies; conducted A/B testing and documented workflows and artifacts for risk reviews.

Machine Learning Engineer at Pfizer

December 1, 2024 - December 1, 2024

Developed predictive models for clinical trial outcomes; built ETL pipelines to ingest/clean data from clinical sources; applied NLP to medical literature and patient reports; ensured HIPAA/FDA compliance for PHI datasets; deployed models on AWS SageMaker with Docker/Kubernetes; implemented MLflow for experiment tracking; integrated real-time predictions into clinical dashboards; performed hyperparameter tuning and feature engineering; collaborated with researchers to validate outcomes and explainability; contributed to security hardening of data pipelines.

Data Analyst Intern at Teamware Solutions

July 1, 2023 - July 1, 2023

Collected and processed datasets from multiple departments; built forecasting models with Scikit-learn; designed interactive dashboards using Tableau and Power BI; automated ETL processes with Airflow; documented pipeline dependencies; implemented secure data storage on AWS S3 with IAM permissions; deployed models via Flask APIs and delivered weekly data reports to executive leadership.

AI Intern at Genesys

December 1, 2020 - December 1, 2020

Developed an AI chatbot and sentiment analysis system using Python, TensorFlow, NLTK, and spaCy; trained LSTM sequence models to improve response accuracy; deployed as a Flask/Docker microservice and integrated with CRM; analyzed metrics with Power BI and refined language models with Hugging Face; collaborated with DevOps for CI/CD; enhanced data security with token-based authentication; documented training workflows.

Data Analyst Intern at Teamware Solutions

January 1, 2021 - July 1, 2023

Collected and processed business datasets from multiple departments using Python and SQL; developed data visualizations and interactive dashboards using Tableau and Power BI; built forecasting models using Scikit-learn to predict sales and operational trends; designed scripts for data cleansing and validation to ensure accuracy and consistency; automated ETL processes using Airflow and documented pipeline dependencies; conducted feature engineering and data aggregation for business intelligence teams; performed statistical analysis to derive KPIs for finance and supply chain departments; implemented secure data storage in AWS S3 with IAM permissions and logging; collaborated with stakeholders to translate business requirements into data solutions; deployed models via Flask APIs to provide data-driven recommendations; delivered weekly data reports to executive leadership teams.

AI Intern at Genesys

June 1, 2018 - December 1, 2020

Developed AI-based chatbot using Python and TensorFlow for automating customer service queries; implemented NLP pipelines using NLTK and spaCy for sentiment and intent classification; trained sequence models (LSTM) to improve response accuracy; created data collection scripts to fetch conversation logs for training datasets; deployed chatbot as a microservice via Flask and Docker; integrated with CRM and ticketing systems for automated workflow management; used Power BI for analyzing chatbot metrics and user engagement trends; performed language model fine-tuning with Hugging Face Transformers; collaborated with the DevOps team to enable continuous integration for model updates; enhanced data security through token-based authentication and encryption; documented technical architecture and training workflow for future deployment.