Innovating the Future with Cloud & AI

Cloud Architect & AI Solution Designer with a passion for creating scalable, intelligent systems that transform businesses and provide expert technical training.

ls -la projects/ ssh contact@deos.dev
deo@shankar-portfolio: ~/

cat about.md

profile.txt
cat profile.txt
Deo Shankar
Cloud Architect & AI Solution Designer
New Delhi, India
[Terminal-themed profile description]

Cloud & AI Architect

With over 10 years of experience in software development, cloud solutions, and AI architecture, I specialize in designing and implementing cutting-edge technology solutions that drive business transformation.

My expertise spans across major cloud platforms (AWS, Azure, and GCP) and various AI frameworks, allowing me to create scalable, secure, and intelligent systems tailored to specific business needs.

I'm passionate about problem-solving and staying at the forefront of technological innovation to deliver solutions that not only meet current requirements but are also future-proof.

0
Years Experience
0
Projects Completed
0
Happy Clients
0
Certifications

find ./skills -type f | sort

Cloud Computing
AI & ML
Development

AWS

Expert in AWS cloud architecture, including EC2, S3, Lambda, CloudFormation, and containerization with ECS/EKS.

Azure

Proficient in Azure services, including Virtual Machines, App Services, Azure Functions, and Azure DevOps.

GCP

Skilled in Google Cloud Platform, including Compute Engine, Cloud Storage, Cloud Functions and BigQuery.

CI/CD

Expert in implementing robust CI/CD pipelines using Jenkins, GitHub Actions, and AWS CodePipeline.

Cloud Security

Implementation of best security practices for cloud infrastructure, including IAM, encryption, and network security.

Cloud Cost Optimization

Strategies for optimizing cloud costs while maintaining performance and availability.

Machine Learning

Expertise in supervised and unsupervised learning algorithms, feature engineering, and model optimization.

Deep Learning

Implementation of neural networks using TensorFlow and PyTorch for computer vision and NLP tasks.

NLP

Natural Language Processing for text analysis, sentiment analysis, and conversational AI systems.

Computer Vision

Image recognition, object detection, and segmentation using state-of-the-art models.

MLOps

Implementation of ML pipelines for continuous training, validation, and deployment of models.

AI Integration

Seamless integration of AI capabilities into existing applications and business processes.

Python

Expert in Python for data processing, API development, ML/AI, and automation.

Java

Development of enterprise applications, microservices, and backend systems.

JavaScript

Full-stack development using Node.js, React, and modern JavaScript frameworks.

Infrastructure as Code

Terraform, CloudFormation, and Ansible for automated infrastructure provisioning.

Containerization

Docker and Kubernetes for container orchestration and microservices architecture.

Microservices

Design and implementation of scalable, resilient microservices architectures.

ls -la ./sample-projects

All Sample Projects
Cloud Architecture
AI Solutions
Agent Development
Development
AgentGPT Research Assistant

AgentGPT Research Assistant

Agent Development

Live Demo
AgentGPT Demo
init_agent --name "ResearchGPT" --goal "Find recent papers on multimodal LLMs"
✓ Agent initialized: ResearchGPT
✓ Setting goal: Find recent papers on multimodal LLMs
⚙️ Generating task list...
1. Search for recent academic papers on multimodal LLMs 2. Filter for papers published in the last 6 months 3. Categorize papers by primary focus (vision, audio, etc) 4. Identify key research teams and institutions 5. Summarize major findings and breakthroughs
execute_task 1
Searching arXiv, ACL Anthology, and IEEE for recent papers...
Found 37 papers on multimodal LLMs from the past year. Top results: - "GPT-4V: A Comprehensive Study of Vision-Language Models" (Microsoft, 2023) - "Multimodal Foundation Models: From Specialists to General-Purpose Assistants" (Google, 2023) - "LLaMA-VID: An Open Large Language Model for Video Understanding" (Meta AI, 2023)

An autonomous research agent built on LangChain that generates task lists, searches academic databases, and synthesizes information from multiple sources. Capable of retrieving and summarizing research papers based on user queries.

Autonomous Code Assistant

Autonomous Code Assistant

Agent Development

Live Demo
Code Assistant Demo
agent.analyze_repo("github.com/user/project")
Analyzing repository structure...
✓ Identified: Python project with Flask backend ✓ Main components: API routes, database models, auth service ✓ Test coverage: 67% ✓ Potential issues: 3 security vulnerabilities in dependencies
agent.improve("Add proper error handling to auth service")
Analyzing auth service implementation...
Creating improvement plan: 1. Add try/except blocks to login and register functions 2. Implement proper logging of authentication errors 3. Return appropriate HTTP status codes 4. Add input validation for user credentials Generating code changes... Done! Pull request created: #142 "Improve auth service error handling"

An autonomous coding agent that helps developers maintain and improve their codebases. Can analyze repositories, identify issues, and generate fixes with proper testing. Integrates with GitHub/GitLab and supports multiple programming languages.

Multi-Agent Workflow

Multi-Agent Workflow Automation

Agent Development

Live Demo
Multi-Agent System Demo
create_workflow --name "content-pipeline"
Creating multi-agent workflow "content-pipeline"
add_agent --role "researcher" --task "find trending topics"
✓ Added researcher agent to workflow
add_agent --role "writer" --task "create article outline"
✓ Added writer agent to workflow
add_agent --role "editor" --task "review and improve content"
✓ Added editor agent to workflow
connect researcher.output -> writer.input
✓ Connected researcher to writer
connect writer.output -> editor.input
✓ Connected writer to editor
execute_workflow --input "AI agents in healthcare"
Running workflow... Researcher agent: Analyzing trending topics in AI healthcare agents Writer agent: Creating comprehensive article outline with 5 main sections Editor agent: Reviewing outline, suggesting improvements to structure Final output ready: "The Impact of AI Agents on Healthcare Delivery"

A multi-agent system where specialized agents collaborate on complex workflows. Built with a custom orchestration framework that enables agent communication, task allocation, and result synthesis across multiple domains.

Enterprise Cloud Migration

Enterprise Cloud Migration

Cloud Architecture

Live Demo
Cloud Architecture Demo
view serverless-architecture.json
Displaying Serverless Data Pipeline Architecture:
- S3 Input Bucket → Lambda Transform → DynamoDB Metadata
- Lambda Transform → Lambda Enrich → S3 Processed Data
- S3 Processed Data → Amazon Athena → QuickSight

Interactive cloud architecture visualization tool that demonstrates different architectural patterns: serverless data pipelines, microservices, and hybrid cloud solutions. Features component details, connection visualization, and performance metrics.

Predictive Analytics Platform

Predictive Analytics Platform

AI Solutions

Live Demo
AI Solutions Demo
detect objects --image sample1.jpg
✓ Identified: person (92%), car (87%), dog (76%)
generate text "How is AI transforming healthcare?"
Generating response using Mistral 7B model...
AI is fundamentally reshaping healthcare through diagnostic assistance, predictive analytics, treatment optimization, and operational efficiency improvements...

Interactive AI solutions demo featuring computer vision for object detection, text generation with various LLMs, and speech recognition capabilities. Includes model parameters adjustment and detailed results visualization.

Microservices Architecture

Microservices Architecture

Development

Live Demo
Development Tools Demo
npm run lint
ESLint found 0 errors and 0 warnings
✓ All files pass linting
npm run test
PASS tests/weather.test.js
PASS tests/location.test.js
Test Suites: 3 passed, 3 total

Interactive development workflow visualization with code editor, version control, code quality metrics, and CI/CD pipeline. Features automated testing, linting, and a demonstration of modern JavaScript development practices.

man training-offerings

I provide hands-on technical training programs for developers, architects, and IT professionals who want to level up their skills in cloud computing, AI/ML, and modern software development practices.

cloud-architecture-masterclass.sh

Cloud Architecture Masterclass

Duration: 3 months
Format: In-person or Virtual

$ cat curriculum.md

  • Cloud Architecture Fundamentals & Design Patterns
  • Multi-Cloud Strategy, Governance & Implementation
  • Infrastructure as Code (Terraform, CloudFormation, Pulumi)
  • Advanced Networking, VPC Design & Connectivity Patterns
  • Microservices Architecture & Distributed Systems
  • Containerization & Kubernetes Orchestration at Scale
  • Serverless Architecture & Event-Driven Design
  • Cloud-Native Database Selection & Optimization
  • CI/CD Pipeline Development & GitOps Methodologies
  • Cloud Security Architecture, IAM & Compliance Frameworks
  • Cost Optimization Strategies & FinOps Practices
  • Disaster Recovery & High Availability Design Patterns
  • Performance Optimization & Scaling Strategies
  • Real-world Capstone Project: Enterprise Cloud Migration
./request-training.sh
ai-machine-learning-bootcamp.sh

AI & Machine Learning Bootcamp

Duration: 3 months
Format: In-person or Virtual

$ cat curriculum.md

  • Machine Learning Foundations & Mathematical Principles
  • Statistical Analysis & Feature Engineering Techniques
  • Supervised Learning Algorithms & Advanced Regression Methods
  • Unsupervised Learning & Clustering Techniques
  • Deep Learning Architectures & Neural Network Design
  • Advanced Natural Language Processing & Transformer Models
  • Computer Vision Systems & Object Detection Architectures
  • Generative AI Models & Foundation Model Fine-tuning
  • Reinforcement Learning & Decision Systems
  • Advanced TensorFlow & PyTorch Implementation
  • Time Series Analysis & Forecasting Models
  • Model Optimization, Pruning & Quantization
  • Model Interpretability & Explainable AI Techniques
  • Ethical AI Implementation & Bias Mitigation
  • Real-world Capstone Project: End-to-End ML Solution
./request-training.sh
devops-professional.sh

DevOps Professional

Duration: 3 months
Format: In-person or Virtual

$ cat curriculum.md

  • DevOps Principles, Culture & Implementation Strategies
  • Modern Version Control Workflows & Collaboration
  • Advanced Git Techniques & Repository Management
  • Continuous Integration Pipelines & Build Optimization
  • Continuous Deployment & Release Strategies
  • Infrastructure Automation & Configuration Management
  • Infrastructure as Code & GitOps Methodologies
  • Containerization Techniques & Docker Best Practices
  • Kubernetes Architecture & Production Cluster Management
  • Service Mesh Implementation & Traffic Management
  • Comprehensive Monitoring & Observability Platforms
  • Advanced Logging & Distributed Tracing
  • Security in DevOps (DevSecOps) & Compliance Automation
  • Performance Testing & Optimization Techniques
  • Real-world Capstone Project: CI/CD Pipeline Development
./request-training.sh
system-design-mastery.sh

System Design Mastery

Duration: 3 months
Format: In-person or Virtual

$ cat curriculum.md

  • System Design Fundamentals & Architecture Patterns
  • Scalability Principles & Horizontal/Vertical Scaling
  • Distributed Systems Theory & CAP Theorem
  • Load Balancing Strategies & Implementation
  • Database Design & SQL/NoSQL Selection Criteria
  • Caching Strategies & Distributed Cache Systems
  • Message Queues & Event-Driven Architecture
  • API Design & RESTful/GraphQL Architecture
  • Microservices vs. Monolithic Architecture
  • System Partitioning & Data Sharding Techniques
  • Fault Tolerance & Error Handling Design
  • Consistency Models & Distributed Consensus
  • Rate Limiting, Throttling & Back-pressure Techniques
  • System Monitoring, Alerting & Performance Analysis
  • Real-world Capstone Project: Large-Scale System Design
./request-training.sh
agentic-ai-mlops.sh

Agentic AI & MLOps

Duration: 3 months
Format: In-person or Virtual

$ cat curriculum.md

  • Autonomous Agent Architecture & Design Principles
  • Foundation Models & Large Language Model Theory
  • Prompt Engineering & Context Design
  • Retrieval-Augmented Generation (RAG) Techniques
  • Agent Memory Systems & Knowledge Persistence
  • Tool Use & Function Calling in Agents
  • Multi-Agent Systems & Collaborative Frameworks
  • MLOps Foundations & Lifecycle Management
  • Continuous Integration for ML Models
  • Model Versioning, Registry & Lineage Tracking
  • Experiment Tracking & Hyperparameter Optimization
  • Model Serving Architectures & Inference Optimization
  • Monitoring Drift & Model Performance in Production
  • Model Security, Privacy & Responsible AI
  • Real-world Capstone Project: Autonomous Agent System
./request-training.sh

Custom Training Programs

I also develop customized training programs tailored to your organization's specific needs and technology stack. Contact me to discuss how I can help your team level up their skills.

Request Custom Training

tail -f ./blog/latest.log

blog-status@deos.dev: ~/content
git status
On branch main
Your branch is up to date with 'origin/main'.
Changes to be committed:
(use "git restore --staged ..." to unstage)
new file: articles/cloud-architecture-patterns.md
new file: articles/ethical-ai-implementation.md
new file: articles/agent-systems-design.md
./publish-status.sh
Blog publication status: COMING SOON
Estimated publication date: Q2 2025
Articles in preparation: 3
Topics: Cloud Architecture, Ethical AI, Agent Systems

Check back soon for articles on Cloud Architecture, AI Development, and System Design.

Subscribe to the newsletter to be notified when new content is available.

Subscribe for Updates

grep -A2 "feedback" ./reviews.txt

Alex transformed our IT infrastructure with a cloud-first approach that significantly improved our system stability while reducing our operational costs by 35%. His expertise in both cloud architecture and AI implementation is truly exceptional.
SJ

Sarah Johnson

CTO, TechVision Inc.

Working with Alex on our AI-driven customer service platform was a game-changer for our business. His ability to translate complex technical concepts into practical solutions made the entire process seamless. The system has increased our customer satisfaction ratings by over 40%.
MR

Michael Rodriguez

Director of Innovation, Global Retail Solutions

Alex's expertise in cloud architecture and AI solutions helped us modernize our entire data analytics platform. His strategic approach to solving complex problems and attention to detail resulted in a scalable system that handles our growing data needs effortlessly.
Jennifer Lee

Jennifer Lee

Data Science Lead, Analytics Pro

cat ./education.txt

education@deos.dev: ~/academic-record
cat masters_degree.md

MS in Data Science and Management

Joint Program: IIM Indore & IIT Indore

2018 - 2020

A unique dual-discipline program bringing together management expertise and technical data science skills. Focused on advanced analytics, statistical modeling, and business applications of AI/ML technologies.

Key Areas of Study:

  • Advanced Machine Learning Algorithms
  • Big Data Analytics & Infrastructure
  • Business Intelligence & Decision Systems
  • AI-Driven Business Transformation
  • Cloud Computing Architectures
cat thesis.txt

Thesis: "Optimizing Cloud Resource Allocation Through Predictive Analytics: A Machine Learning Approach"

Developed novel algorithms for dynamic resource allocation in cloud environments, achieving 28% improvement in resource utilization while maintaining SLA compliance.

ssh user@contact.deos.dev

Email

deo@deos.dev

Phone

+91-9891698505

Location

New Delhi, India

new-message.sh