About
AWS cloud architecture, applied AI, migration, modernization, and reliable delivery.
I work as a Cloud & AI Solutions Architect, helping startups and enterprises design secure, scalable, and cost-efficient AWS platforms — and turn AI ideas into systems that perform reliably in production.
My work covers AWS cloud foundations, migration strategy, serverless architecture, container platforms, delivery automation, and observability, together with generative AI solutions on Amazon Bedrock and SageMaker: RAG over private knowledge, tool-using agents, evaluation and guardrails, and the data pipelines behind them. I focus on architecture decisions that reduce operational risk while improving delivery speed.
Across healthcare, SaaS, non-profit, and enterprise projects, the pattern is consistent: align architecture to business goals, simplify execution, and build systems teams can maintain with confidence.
AWS Architecture Strategy
Designing resilient architectures across networking, compute, storage, data, and security layers on AWS.
Migration & Modernization
Structured migration roadmaps, phased execution, and modernization patterns for legacy and growing systems.
Generative AI & LLM Systems
RAG pipelines, AI agents, prompt and evaluation workflows, and guardrails on Amazon Bedrock, SageMaker, and vector search.
Data Platforms & MLOps
Ingestion, embedding and feature pipelines, model deployment, monitoring, and retraining workflows that keep AI systems accurate.
DevOps & Operations
CI/CD, infrastructure automation, monitoring, and runbook-based operations for stable release management.
Architecture Advisory
Architecture reviews, technical due diligence, and practical guidance for teams scaling cloud and AI workloads.
Selected projects include AWS serverless automation for non-profit finance workflows, healthcare platforms with real-time reliability requirements, LLM-powered workflow automation with agent orchestration, and enterprise modernization programs where observability and delivery speed were business-critical.
If you need help with cloud architecture, AI integration, delivery, or modernization, book a cloud & AI architecture consultation.
SmartWhale
Project: Intelligent command and campaign workflow platform with scalable backend architecture.
Stack: AWS-ready Node.js architecture, LangGraph, OpenAI integrations.
ISKCON
Project: Serverless receipt generation and donor workflow automation for high-volume operations.
Stack: AWS Serverless, Laravel, Livewire, event-driven processing.
ISRO
Project: I-GRASP portal supporting research and collaboration workflows.
Stack: Drupal with scalable deployment and platform operations support.
Omnyk
Project: OmnyTraq web portal for real-time patient monitoring in healthcare.
Stack: Laravel, MySQL, Firebase, cloud-first reliability design.
Data Company
Project: ETL and observability workflows for large multi-server analytics environments.
Stack: ELK, distributed ETL pipelines, cloud monitoring and alerting practices.
Deliverbility
Project: Email verification platform for bulk database cleaning and validation.
Stack: Drupal with scalable processing workflows and cloud deployment support.
Engineering Experience
12+ years delivering production platforms across architecture, engineering, cloud operations, and applied AI.
AWS Delivery Expertise
Hands-on AWS design and implementation experience spanning migration, modernization, DevOps, and reliability practices.
AI Delivery Expertise
Practical experience building LLM-backed features and agent workflows, with evaluation, guardrails, and cost-aware model selection.
Industry Context
Cross-domain experience in healthcare, research, SaaS, and non-profit operations with measurable business outcomes.