PhD; SW Engineer, AI, DevOps, AWS Community Builder in AI
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Assessing your cultural and operational fit
Fast-Terraform
March 8, 2023 – February 12, 2025
This repo covers Terraform (Infrastructure as Code) with LABs using AWS and AWS Sample Projects: Resources, Variables, Meta Arguments, Provisioners, Dynamic Blocks, Modules, Provisioning AWS Resources (EC2, EBS, EFS, VPC, IAM Policies, Roles, ECS, ECR, Fargate, EKS, Lambda, API-Gateway, ELB, S3, etc.
View ProjectFast-Kubeflow
December 9, 2022 – May 3, 2024
This repo covers Kubeflow Environment with LABs: Kubeflow GUI, Jupyter Notebooks on pods, Kubeflow Pipelines, Experiments, KALE, KATIB (AutoML: Hyperparameter Tuning), KFServe (Model Serving), Training Operators (Distributed Training), Projects, etc.
View ProjectFast-Ansible
November 10, 2022 – January 27, 2023
This repo covers Ansible with LABs: Multipass, Commands, Modules, Playbooks, Tags, Managing Files and Servers, Users, Roles, Handlers, Host Variables, Templates and details.
View ProjectFast-Kubernetes
December 14, 2021 – April 14, 2025
This repo covers Kubernetes with LABs: Kubectl, Pod, Deployment, Service, PV, PVC, Rollout, Multicontainer, Daemonset, Taint-Toleration, Job, Ingress, Kubeadm, Helm, etc.
View ProjectFast-Docker
March 31, 2021 – November 12, 2025
This repo covers containerization and Docker Environment: Docker File, Image, Container, Commands, Volumes, Networks, Swarm, Stack, Service, possible scenarios.
View ProjectCNN-TA
September 23, 2019 – June 7, 2021
Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach: A novel algorithmic trading model CNN-TA using a 2-D convolutional neural network based on image processing properties.
View ProjectFast-Pytorch
April 9, 2019 – May 7, 2019
Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
View ProjectGenerative_Models_Tutorial_with_Demo
January 17, 2019 – January 21, 2019
Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
View ProjectReinforcement_learning_tutorial_with_demo
December 10, 2018 – January 22, 2019
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
View ProjectLSTM_RNN_Tutorials_with_Demo
February 18, 2018 – November 22, 2024
LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong inclination towards self-directed learning and practical application of complex technical concepts. The breadth of technologies covered suggests adaptability and a proactive approach to skill development. However, the projects are predominantly personal tutorials/demonstrations, which might indicate less experience in collaborative, production-oriented team environments. The focus on DevOps/MLOps tools aligns well with modern data science practices, suggesting a good fit for roles requiring end-to-end solution deployment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a strong technical focus and self-learning capability.