Hi 👋, I'm Alok Ranjan Daftuar

Solution Architect | Cloud-Native Systems | Full-Stack Engineering

I'm a Solution Architect with 10+ years of deep, hands-on experience across full-stack engineering, cloud architecture, DevOps, and system design. I've evolved from an individual contributor into a technical leader who architects, builds, reviews, and scales production-grade systems.

My work focuses on:

• Translating business problems into pragmatic, scalable, and cost-efficient technical solutions
• Designing cloud-native architectures with a focus on reliability, security, and cost optimization
• Leading system design discussions, estimations, and architectural decision-making
• Mentoring engineers and collaborating closely with product, UX, and business stakeholders

"Making mistakes is better than faking perfection."
I value transparency, thoughtful experimentation, and learning through execution.

I leverage AI strategically to accelerate delivery, improve code quality, and solve complex technical challenges. My approach combines AI-assisted development with rigorous engineering discipline—using models like Claude, GPT-4, Gemini and Amazon Q as force multipliers while maintaining architectural control and production-grade standards.

Key AI Initiatives:

• Test Automation at Scale: Led AI-powered Playwright test generation that increased code coverage from 35% to 82%+ across 40+ modules
• Intelligent Data Visualization: Built a production POC enabling natural language to chart generation with real-time drill-down capabilities
• Context-Driven Problem Solving: Use AI in agentic and chat modes to rapidly prototype solutions, analyze codebases, and validate architectural decisions

I view AI as a productivity accelerator and creative partner—not a replacement for engineering judgment. Every AI-generated solution undergoes code review, testing, and refinement to meet production standards.

Solution Architect @ Byteridge Software Pvt. Ltd.
2014 – Present | Hyderabad, India

• Architected and delivered end-to-end systems spanning frontend, backend, infrastructure, and integrations
• Led cloud-native architecture initiatives with Docker, Kubernetes, and CI/CD automation
• Designed modular, API-centric platforms with strong authentication, observability, and integration patterns
• Collaborated with Microsoft on Bing and Microsoft Admin Portal platforms
• Drove cost optimization initiatives across cloud infrastructure and container orchestration

Playwright + Claude/GPT-4 + Amazon Q

Led a transformative test automation initiative for a client's debt collection platform, leveraging AI for context analysis and test case generation. Guided a 4–5 engineer team to deliver production-grade Playwright tests across 40+ modules.

• 📈 Code coverage: 35% → 81%+
• ✅ 2,500+ test cases delivered in 2 months
• 🚀 40+ modules fully covered
• ⚡ Ongoing e2e test expansion

React 18 + OpenAI GPT + Chart.js

Built an intelligent Higher-Order Component (HOC) that wraps any React-compatible table, enabling users to generate interactive visualizations through natural language prompts. Features PII filtering, content moderation, and drill-down analytics.

• 🗣️ Natural language interface — no chart configuration knowledge required
• 🔒 PII filtering and content moderation built-in
• 📊 CSV/Excel data upload support
• 🔍 Interactive multi-level drill-down
• ✅ Democratized data analysis for non-technical users
• 🏢 Featured on Byteridge's innovation portal

Architecture & Design:
  - Cloud-native architectures with clear domain boundaries
  - API design, integration patterns, and secure auth flows (OAuth, SSO)
  - Microservices & distributed systems
  - Event-driven & async workflows
  - Reliability, observability, and performance-driven design

DevOps & Infrastructure:
  - CI/CD pipelines with GitHub Actions
  - Infrastructure as Code (Terraform, ARM templates)
  - Container orchestration (Docker, Kubernetes)
  - Production readiness via observability and automation
  - Incident response and operational stability

Cost & Performance:
  - Cost-aware cloud/Kubernetes architectures
  - Resource optimization and build cache strategies
  - Query tuning, indexing, and caching strategies
  - FinOps practices and visibility

I regularly write about real-world engineering problems, architecture decisions, system design trade-offs, Kubernetes, Docker, CI/CD optimization, and performance strategies.

👉 Read all my blogs →

• 💼 Architecture consulting and system design reviews
• 🤖 AI integration consulting for production systems and intelligent automation
• 🎤 Speaking opportunities on cloud architecture, DevOps, and system design
• 🤝 Technical collaborations and open-source contributions
• 📚 Mentoring engineers on architectural thinking and best practices
• 💡 Advisory roles for startups and scale-ups
• 🧪 POC partnerships exploring AI/ML use cases in enterprise software

• Advanced Kubernetes patterns and operators
• Platform engineering and internal developer platforms
• FinOps and cloud cost governance at scale
• Graph databases for complex domain modeling