Cloud 🌩️ Containers 🐳 what not? 🚀
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ai-builder-training
June 15, 2025 – July 6, 2025
Personal repo used for AI Builder training tasks
View Projectlocal-pv-cleaner
March 1, 2025 – Present
Simple K8s controller to clean-up orphaned local PVs (using nvme's)
View Projectgha-finops-policies
August 1, 2024 – August 16, 2024
Custom GitHub Action for FinOps policies using OPA
View Projectfinops-terraform-demo
February 3, 2024 – March 14, 2024
Terraform repo used for FinOps demos
View Projectkube-bouncer
April 15, 2023 – July 14, 2024
KubeBouncer is a set of Kubernetes admission controllers that denies resource deployment in specified namespaces, enforcing security policies and best practices in Kubernetes
View ProjectGold-Price-Prediction
June 15, 2020 – June 15, 2020
A regression based machine learning model for predicting the price of gold based on it's influencers like Oil price, US dollar value, inflation rate, average of prices for the last 10 months taken into account in the dataset used. Moreover, I have also added some simple trading algorithm to predict when we need to buy or sell the commodity (gold) and also to predict the profit or loss when do the above. This was done doing my internship at Cognibot and jointly with National Instruments on Machine Learning, AI and IIOT
View ProjectCultural Fit Analysis
The candidate's projects are predominantly focused on Go, Kubernetes, and infrastructure (DevOps/SRE type work), with only two projects directly related to AI/ML/Data Science. This indicates a potential misalignment with a pure Data Scientist role, suggesting a stronger fit for a Machine Learning Engineer or MLOps role. The diversity of technologies (Go, HCL, Python, JavaScript) shows a broad technical interest, but the depth in data science specific tools is limited based on the provided projects.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise and technical, but do not provide insight into collaboration, problem-solving approach, or communication style.