Renuka Renu

About Renuka Renu

Network Engineer with 5+ years of experience designing and maintaining secure LAN/WAN, SD-WAN, and hybrid cloud networks across enterprise environments. Skilled in configuring and troubleshooting Cisco, Juniper, and Palo Alto devices, along with managing routing protocols like BGP, OSPF, and MPLS. Experienced in firewall management, load balancing (F5 BIG-IP), and wireless network solutions. Proficient in cloud platforms, including AWS and Azure, for network security, automation, and infrastructure management.

Experience

1. Ai Ml Engineer

   Pavlov Media

   Feb 2024 — Present · US

   Designed and implemented ML models using Python, TensorFlow, and Random Forest to predict chronic disease progression ( diabetes, cardiovascular disease) from de-identified EHR and demographic data aggregated via Truveta’s platform.Developed enterprise-grade AI solutions leveraging LLMs to enhance financial operations, ensuring scalability, performance, and regulatory compliance.Built data preprocessing pipelines using Python, NumPy, Pandas, SQL, AWS Glue, and S3 to create structured datasets for analytics and ML.Developed and deployed AI chatbots and virtual assistants integrated with banking applications, improving customer experience and real-time query resolution.Implemented signal processing workflows on AWS SageMaker to analyze transaction data and strengthen fraud detection mechanisms.Deployed ML models using Docker, Kubernetes, and CI/CD pipelines, ensuring robust versioning, monitoring, and scalability.Performed advanced data analysis using PostgreSQL, Redis, and AWS Redshift for real-time insights and predictive decision-making.Established AI validation frameworks for accuracy, fairness, and compliance with Simmons Bank’s security standards.Ensured secure data governance with AWS IAM, VPC, and KMS, maintaining encryption and auditability of sensitive financial data.Automated testing workflows with Selenium, Python, and AWS CodePipeline, improving release efficiency and reliability.Designed interactive dashboards and visualization tools using HTML, CSS, and modern frameworks for executives and analysts.Led Agile-based AI project delivery using Jira, coordinating cross-functional teams for on-time solution deployment.Built scalable AI systems using Redis, PostgreSQL, and AWS Lambda, achieving low-latency and high-availability performance.Developed AI-driven fraud detection solutions, reducing false positives through anomaly detection and model optimization.

Education

• Jawaharlal Nehru Technological University Kakinada (JNTUK)

  Bachelor of Technology - BTech

  2015 — 2019

• Wilmington University

  Master's degree

  2023 — 2024