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Network Engineer Machine Learning

Location:
Fort Worth, TX, 76132
Salary:
50000
Posted:
May 12, 2025

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Resume:

MONIKA MADDUKURI

Network Engineer

Fort Worth, Texas, 76132 +1-682-***-**** ***************@*****.*** LinkedIn

PROFESSIONAL SUMMARY

Results-oriented Network Engineer with over 3 years of experience in network infrastructure, AI integration, and cloud computing. Proficient in designing, configuring, and maintaining network systems, with a strong background in leveraging AI and machine learning to optimize network performance and security. Skilled in network automation, cloud services, data management, and AI-based network monitoring to deliver robust, efficient, and scalable solutions. Adept at solving complex technical challenges, improving network efficiency, and ensuring seamless integration of AI-driven tools to enhance network security and functionality. Seeking to leverage expertise in network engineering and AI technologies to drive innovation and operational excellence at CDW.

TECHNICAL SKILLS

Networking: Network Infrastructure Design, Network Security, VPN, DNS, LAN/WAN, Routing & Switching

Cloud Computing: AWS, Azure, Google Cloud Platform (GCP), Cloud Infrastructure Design

AI & Automation: Machine Learning, AI-driven Network Monitoring, Network Traffic Prediction, Anomaly Detection

Scripting & Development: Python, Shell Scripting, JavaScript, NodeJS, Express.js, SQL, PL-SQL

DevOps: Jenkins, GitOps, Docker, Kubernetes, CI/CD Pipelines, AWS CDK

Security: Palo Alto, Cisco ASA, Cisco ISE, Firewalls, IDS/IPS, Encryption, VPNs

Tools: Splunk, Qualys, Burp Suite, CloudFormation, Kubernetes, AWS Boto3, Git, Postman, Figma

EXPERIENCE

CDW Remote

Network Engineer AI Sep 2024 – Present

Leading the deployment and management of AI-driven network solutions to optimize network traffic and enhance performance.

Designed and implemented network automation scripts using Python and AI tools, reducing network configuration time by 30%.

Integrated AI-based monitoring tools to predict network failures and automate troubleshooting, resulting in a 40% reduction in downtime.

Worked with cloud services (AWS, Azure) to configure network infrastructures, ensuring high availability and security of cloud resources.

Assisted in the creation of AI-powered tools for dynamic bandwidth allocation and real-time threat detection, improving network reliability and security.

Collaborated with cross-functional teams to integrate AI models into network infrastructure, improving decision-making and system efficiency.

Conducted performance analysis using machine learning algorithms, identifying inefficiencies and implementing data-driven solutions to enhance network performance.

Microland

Cloud Network Engineer Jul 2020 – Aug 2022

Designed, implemented, and maintained cloud network infrastructures using AWS and Azure, ensuring high availability, scalability, and security.

Managed network security solutions, including firewalls, VPNs, and IDS/IPS, ensuring the integrity and confidentiality of corporate data.

Leveraged AI models to optimize network traffic and enhance cloud resource allocation, achieving 20% reduction in resource wastage.

Developed CI/CD pipelines using Jenkins and GitHub Actions, automating deployments and reducing manual configuration errors by 30%.

Optimized network infrastructure by implementing containerized solutions with Docker and Kubernetes, improving deployment speed and system scalability by 40%.

Implemented AI-driven anomaly detection to monitor network traffic, improving incident response times by 25%.

Collaborated with security teams to address vulnerabilities and enhance cloud network security through VPC design and IAM policies.

Microland

Network Engineer (Intern) Jan 2020 – Jul 2020

Assisted in the design, configuration, and optimization of network infrastructures, ensuring the efficient operation of client systems and reducing downtime by 20%.

Collaborated with senior engineers to monitor network performance using tools like SolarWinds and Wireshark, resulting in the identification and resolution of 15+ network issues within a month.

Conducted routine network audits and troubleshooting, achieving a 25% reduction in network performance-related incidents by identifying and resolving bottlenecks.

Utilized routing protocols such as OSPF and BGP for network optimization, resulting in a 15% increase in network throughput.

Provided support for VPN configurations and ensured the secure remote access of 50+ employees to internal company resources, reducing operational delays.

Documented network configurations, setups, and operational procedures, improving team collaboration and reducing setup errors by 10%.

Assisted in troubleshooting and resolving hardware and software issues, reducing the average response time for network-related incidents by 30%.

EDUCATION

Master of Science in Information Systems

Northeastern University, Boston, MA April 2024

Related coursework: Cloud Computing, Database Management, Web Design/UI/UX, Program Structures, Data Science, and Network Structures.

Bachelor of Technology in Computer Science and Engineering

Sanketika Vidya Parishad College of Engineering, Visakhapatnam, India July 2021

Related coursework: AI with Python, Cloud Computing, Mobile App Development for IoT, Data Structures and Algorithms, C++.

PROJECT HIGHLIGHTS

CI/CD Web Application (DevOps & GitOps) May 2023 – Oct 2023

Developed and deployed a Node.js web application using AWS EC2 and Kubernetes, ensuring scalability and efficiency.

Automated CI/CD workflows using GitHub Actions and AWS CloudFormation, resulting in a 35% reduction in deployment time.

Integrated cloud monitoring solutions with AWS CloudWatch, improving visibility and reducing system downtime by 20%.

Oak Rentals – E-commerce Platform Oct 2023 – Nov 2023

Designed and developed a React-based platform for furniture rentals with a MongoDB backend.

Implemented real-time payment integration and inventory management functionality, optimizing system performance and ensuring security through token authorization.

Property Management System Feb 2023 – May 2023

Developed a centralized property database with SQL Server, improving efficiency by 90% in data retrieval and manipulation.

Optimized data interaction processes with stored procedures, ensuring system stability and 80% data integrity.

CERTIFICATIONS

Cisco Certified Network Associate (CCNA)

Microsoft Certified: Azure Fundamentals



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