Girish Venugopalan Nair

DevOps and Cloud Infrastructure

Teknik / Internet

Uppsala, Uppsala Kommun

Tjänster som erbjuds

Hi, I’m Girish Venugopalan Nair, a passionate Cloud and DevOps Architect with over 13 years of experience in transforming ideas into scalable, high-performance systems. My expertise lies in infrastructure automation, data science, and leveraging AI-driven solutions to solve complex business challenges.

Throughout my career, I’ve had the privilege of leading international teams and implementing innovative solutions for industry giants like Cisco, Ricoh, and The Weather Channel. From building Kubernetes clusters and automating workflows with Terraform, to deploying large language models and creating AI-based chatbots, I thrive at the intersection of technology and innovation.

I hold advanced degrees in Computer Science and Data Science, and certifications in AWS, Azure, Red Hat, and SAFe Agile. These qualifications, combined with hands-on experience, allow me to design and implement robust, future-ready architectures that align with business goals.

Beyond technical skills, I’m a strong advocate for collaboration and continuous improvement, bridging the gap between technical teams and stakeholders to deliver seamless outcomes. I’m also deeply interested in exploring the potential of machine learning, DevSecOps, and image analysis to drive the next wave of technological innovation.

If you’re looking to connect with someone who can combine deep technical knowledge with a strategic mindset to drive success, feel free to reach out. Let’s discuss how we can create value together!

Cloud

Kubernetes clusters

Ai-based chatbots

Devops

Ai-driven solutions

Infrastructure automation

Terraform

Data science

Large language models

Ungefärlig kurs: 500 kr per timme

Erfarenhet

As a Cloud and DevOps Architect with expertise in infrastructure automation, data science, and AI-driven solutions my career spans designing and deploying high-performance, scalable systems for organizations across diverse industries.

Leading the design and deployment of AWS solutions for Cisco's cloud email security and private cloud implementations using OpenStack for Arris.
Spearheading the migration of logging systems, achieving SOC2 compliance for Ricoh by transitioning from Splunk to ELK.
Architecting Kubernetes clusters and automating deployments using Helm for Boots and creating monitoring solutions for Hazelcast Cache with Grafana and Prometheus.
Deploying AI-based chatbots for technical support and employee sentiment analysis models using facial emotion recognition for retention prediction.
Implementing machine learning models for stock market predictions, educational insights, and advanced computer vision solutions for ADAS systems using YOLO.

Utbildning

Master of Science in Data Science

University of Europe for Applied Sciences, Potsdam, Germany (2021–2022)
Specialized in statistical analysis, computer vision, and machine learning.
Thesis: Computer Vision Danger Warnings for Vehicles using YOLO (Ultralytics), achieving 87% marks.
Academic projects included stock market strategy backtesting, facial emotion recognition for sentiment analysis, and insights for pharmaceutical companies.

Master of Science in Image Analysis and Machine Learning

Uppsala University, Sweden (2024–Present)
Focus: Image processing, neural networks, and human-computer interaction.
Proposed thesis: A mobile and desktop application visualizing 3D movements using smartphone accelerometer data, integrating machine learning, image analysis, and robotics.