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DevOps Engineer - AI/ML & Cloud Automation Expert

Location:
Dearborn, MI, 48126
Posted:
April 06, 2026

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Resume:

Nikhil Shankar

+1-510-***-**** ****************@*****.*** linkedin.com/in/nikhilshankar08

Education

University of Michigan–Dearborn Dearborn, MI

Master of Science in Computer and Information Science Graduation: Apr 2026 Visvesvaraya Technological University (JSSATE) Bengaluru, IN Bachelor of Engineering in Computer Science Engineering Graduation: Aug 2023 Work Experience

Complama Technologies, Inc. Remote, NYC

DevOps Engineer Sep 2025 – Present

• Implemented SQL-backed health checks and automated monitoring scripts across AWS managed services (EC2, Beanstalk, IAM, S3, Route 53, SES, CloudWatch), resulting in a 30% decrease in MTTR in a startup environment.

• Migrated complama.com DNS from WordPress to AWS Route 53 with zero downtime, maintaining 100% service availability and reducing DNS change risk for ~1,000+ monthly visitors.

• Designed 3-environment CI/CD and branching models with GitHub Actions, Docker, and AWS Amplify, cutting manual deployment effort by ~40% and gating 100% of production releases with tests and approvals.

• Optimized EKS cluster performance by fine-tuning request and limit configurations, reducing latency by 30%, ensuring 99.9% uptime during peak traffic periods, and lowering infrastructure cost by ~$2,000. UMICH Transportation Research Institute (UMTRI) Ann Arbor, MI Research Associate – AI/ML & Multi-Cloud Systems May 2025 – Present

• Collaborated with the Mcity Data Engine team and research directors to adapt and enhance the system for multi-cloud deployment (AWS, Azure, and GCP) enabling open-source cross-cloud scalability and reliability.

• Reduced manual setup for Mcity Data Engine environments by an estimated 70% by automating cloud provisioning of compute, IAM, networking, and storage with Python, Terraform, and boto3.

• Improved end-to-end pipeline reliability and performance by optimizing ingestion, processing, and visualization workflows of the AI models in the Data Engine to reduce configuration issues by 20%.

• Scripted Python code to exercise REST endpoints with JSON payloads, verify responses against schemas, and run targeted SQL checks in BigQuery/PostgreSQL to enhance data integrity verification processes that decreased post-deployment errors by 40%. Getronics Bengaluru, IN

Software Engineer – Full-Stack Public Cloud Mar 2023 – Aug 2024

• Managed IaaS/PaaS across 100+ servers, including Windows server patching and diagnostics with Azure Monitor, Network Watcher, and log queries to implement proactive detection systems.

• Deployed Kubernetes clusters for ML workloads and performed L1 troubleshooting on Docker/Kubernetes to sustain ~99.99% uptime and application reliability.

• Integrated OpsRamps AIOps to automate VM scaling & monitoring, cutting manual operations 50%, improving system reliability. LykiQ Labs Bengaluru, IN

Cloud Data Engineer Mar 2022 – Dec 2022

• Deployed MQTT pub/sub topics for EV charging telemetry and launched OCPP on GCP to process JSON messages with authentication and authorization, and persisting to Firestore for monitoring and analytics.

• Collaborated with cross-functional teams to secure authentication/payment integrations and service APIs, supporting a 40% increase in user transaction volume without compromising security. Project Experience

University of Michigan, Dearborn Dearborn, MI

Road Image Segmentation Using Deep Learning Techniques Dec 2024 – May 2025

• Constructed road segmentation models for autonomous vehicles using classical methods (K-means, GMM) and deep learning architectures (UNet, YOLOv8, Detectron2).

• Utilized TensorFlow, PyTorch, and OpenCV for model development and image preprocessing. Processed datasets (IITJRoadSeg) through data augmentation, resizing, normalization, and mask creation using tools like Roboflow. Skills & Interests

Skills: Microsoft Office (Excel, Word, PowerPoint), Python, C, C++, Java, JavaScript (Node.js, React), TensorFlow, PyTorch, RAG, LLM, Multi-Agent Systems, Jenkins, Docker, Bash, PowerShell, Git, CI/CD Pipeline, Kafka, MongoDB, OpsRamp AIOps, Agile, Data Encryption

Interests: Guitar, Science Fiction Literature, F1, Travel, and Badminton Certifications

AWS Certified Cloud Practitioner Amazon Web Services



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