I'm Dhanvi Yeruva, a Senior Python AI/ML Engineer with 8+ years of experience designing scalable AI-driven enterprise solutions in financial services, healthcare, and retail. I specialize in Python development using FastAPI, Flask, and Django in production-grade environments, and I build AI/ML solutions with PyTorch, TensorFlow, Scikit-learn, and XGBoost. I have hands-on experience with Generative AI and LLMs via OpenAI APIs, LangChain, and Hugging Face Transformers, including Retrieval-Augmented Generation. My work spans computer vision and IoT analytics using OpenCV and YOLOv8, secure backend design, data engineering, streaming with Kafka and Spark, and cloud deployments (AWS, Azure ML, GCP). I value collaboration in Agile/Scrum, design secure, compliant systems (SOC2, PCI DSS, HIPAA) and build end-to-end ML pipelines with MLflow, Kubeflow, Airflow, and SageMaker, plus microservices and CI/CD.

Dhanvi Yeruva

I'm Dhanvi Yeruva, a Senior Python AI/ML Engineer with 8+ years of experience designing scalable AI-driven enterprise solutions in financial services, healthcare, and retail. I specialize in Python development using FastAPI, Flask, and Django in production-grade environments, and I build AI/ML solutions with PyTorch, TensorFlow, Scikit-learn, and XGBoost. I have hands-on experience with Generative AI and LLMs via OpenAI APIs, LangChain, and Hugging Face Transformers, including Retrieval-Augmented Generation. My work spans computer vision and IoT analytics using OpenCV and YOLOv8, secure backend design, data engineering, streaming with Kafka and Spark, and cloud deployments (AWS, Azure ML, GCP). I value collaboration in Agile/Scrum, design secure, compliant systems (SOC2, PCI DSS, HIPAA) and build end-to-end ML pipelines with MLflow, Kubeflow, Airflow, and SageMaker, plus microservices and CI/CD.

Available to hire

I’m Dhanvi Yeruva, a Senior Python AI/ML Engineer with 8+ years of experience designing scalable AI-driven enterprise solutions in financial services, healthcare, and retail. I specialize in Python development using FastAPI, Flask, and Django in production-grade environments, and I build AI/ML solutions with PyTorch, TensorFlow, Scikit-learn, and XGBoost.

I have hands-on experience with Generative AI and LLMs via OpenAI APIs, LangChain, and Hugging Face Transformers, including Retrieval-Augmented Generation. My work spans computer vision and IoT analytics using OpenCV and YOLOv8, secure backend design, data engineering, streaming with Kafka and Spark, and cloud deployments (AWS, Azure ML, GCP). I value collaboration in Agile/Scrum, design secure, compliant systems (SOC2, PCI DSS, HIPAA) and build end-to-end ML pipelines with MLflow, Kubeflow, Airflow, and SageMaker, plus microservices and CI/CD.

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Experience Level

Expert
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Expert
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Expert
Expert
Expert
Expert
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Intermediate
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Work Experience

Senior Python AI/ML Engineer at Stryker
September 1, 2023 - Present
Developed AI-based anomaly detection models for real-time monitoring of IoT-enabled medical devices; integrated surveillance camera feeds using OpenCV and YOLO for activity detection and compliance tracking; built scalable REST APIs with FastAPI; streaming pipelines using Kafka and Spark for real-time video analytics; implemented RAG-based GenAI assistant using LangChain and OpenAI; designed MySQL schemas for secure storage of surveillance metadata; deployed ML models using MLflow and Kubernetes on AWS EKS; configured secure VPC, IAM roles, and network segmentation; automated CI/CD pipelines with GitHub Actions; implemented anomaly-based alerting with Prometheus & Grafana; optimized model performance with GPU acceleration; ensured HIPAA and SOC2 compliance; collaborated with infrastructure teams for network configuration and firewall rule validation.
Python Engineer (AI/ML) at Eastern Bank
June 1, 2021 - August 1, 2023
Built AI-based fraud detection & risk analytics platform analyzing transaction streams and behavioral analytics to detect financial anomalies; developed ML models using XGBoost and Scikit-learn for fraud classification; designed REST APIs using Flask for model serving; built transaction ingestion pipelines using Kafka; implemented feature engineering pipelines using Pandas & Spark; designed MySQL 8 databases for structured transaction storage; integrated LLM-based customer support insights; used Airflow for workflow orchestration; deployed models in AWS SageMaker; implemented encryption & tokenization for sensitive financial data; conducted network traffic analysis for anomaly detection; optimized precision-recall tradeoffs; participated in Agile ceremonies and cross-functional collaboration.
Python Developer at AutoZone
November 1, 2019 - May 1, 2021
Developed predictive analytics system for inventory forecasting across retail stores; built forecasting models using TensorFlow; developed backend APIs using Django; designed ETL pipelines using Pandas & SQL; built dashboards using Plotly & Power BI; integrated MySQL database for inventory tracking; optimized batch processing using multiprocessing; implemented caching using Redis; deployed applications using Docker; wrote unit tests using PyTest; collaborated with supply chain analysts.
Data Analyst at SoftSol
July 1, 2017 - September 1, 2019
Developed enterprise reporting dashboards and automated ETL solutions for business intelligence modernization; performed data cleaning using Pandas and NumPy; developed SQL queries for reporting; built dashboards using Tableau & Power BI; automated ETL workflows; implemented data validation frameworks; optimized query performance; supported data migration to cloud; created executive KPI reports.

Education

Bachelor's in Computer Science at Sathayabhama University
January 11, 2030 - May 1, 2017

Qualifications

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Industry Experience

Financial Services, Healthcare, Retail