Cloud Systems / AI / Platform Engineering
Full-stack Java, AWS and Azure architecture, microservices, and practical AI workflows designed for reliable production scale.
Software Engineer specializing in scalable systems, Cloud computing, and AI.
Building durable platforms where backend correctness, cloud economics, and AI product behavior are treated as one system.
system profile
const engineer = {
domain: "scalable systems",
cloud: "aws + azure",
ai: "ml product architecture",
}
Primary stack
Java + Cloud
Architecture
Microservices
Focus
AI systems
about
I work across backend platforms, product interfaces, and cloud infrastructure, with a strong bias for systems that remain understandable under scale.
Industry software development across backend platforms, cloud delivery, and product-facing interfaces.
Full-stack Java engineering with Spring Boot, REST APIs, event-driven services, and well-tested domain boundaries.
Microservices architecture, platform reliability, and performance tuning for systems that need to scale without becoming brittle.
Specialization in Artificial Intelligence and Machine Learning, with practical interest in evaluation, retrieval, and responsible automation.
certifications
11 certifications spanning architecture, development, DevOps, machine learning, and AI across the three major cloud platforms.
Microsoft Azure
4AZ-400: DevOps Engineer Expert
CI/CD pipelines, infrastructure as code, and DevOps transformation
AZ-204: Azure Developer Associate
Building Azure solutions, serverless functions, and cloud-native apps
AI-900: Azure AI Fundamentals
Responsible AI, ML workloads, and cognitive service foundations
AZ-900: Azure Fundamentals
Cloud economics, security, identity, and core Azure services
Google Cloud
4Professional Machine Learning Engineer
ML model design, training pipelines, and production ML systems on GCP
Professional Cloud Developer
Building scalable applications and services on Google Cloud Platform
Associate Cloud Engineer
Deploying, monitoring, and managing cloud solutions on GCP
Cloud AI Leader
AI strategy, responsible AI, and cloud-based AI product leadership
Amazon Web Services
3AWS Certified Solutions Architect - Professional
Distributed cloud architecture, resiliency, and governance
AWS Certified Developer - Associate
Serverless delivery, application services, and deployment pipelines
AWS Certified Cloud Practitioner
Cloud concepts, core AWS services, security, and pricing fundamentals
projects
Each card is structured like a case study: the system problem, the operating constraint, and the stack that makes it practical.
A strong portfolio should expose the constraints behind a system, not only the interface sitting on top of it.
A multi-account AWS analytics surface that normalizes billing signals, forecasts anomalies, and routes remediation events through policy-aware workflows.
Designed for noisy enterprise estates with event fan-out, idempotent ingestion, and sub-second dashboard queries over aggregated spend windows.
A retrieval-backed workflow for extracting, validating, and routing operational documents with audit trails and human review checkpoints.
Separates inference from business actions, making model behavior measurable while keeping approvals deterministic and traceable.
A saga-based microservices architecture for high-volume order processing with transactional outbox, retries, and observable failure states.
Improves recovery paths under partial outages and keeps customer-facing state consistent across payment, inventory, and fulfilment domains.
A compact engineering dashboard that correlates logs, metrics, and deployment events for fast incident triage across distributed services.
Built around scan-friendly telemetry lanes, service health budgets, and drilldowns that keep senior engineers close to root cause.
writing
Technical articles sit beside personal essays because good systems thinking often comes from outside the code editor.
Discover how database isolation levels protect your data from dirty reads, non-repeatable reads, and phantom reads. A complete guide for developers building scalable, concurrent systems.
Read articleAtomicity is the 'all or nothing' guarantee at the heart of every reliable database. From WAL and undo logs to 2PC and Saga patterns, learn how atomicity scales from a single server to distributed microservices.
Read articleTransaction processing is built on one powerful concept: All Or Nothing. Understand how ACID transactions, MVCC, snapshot isolation, and VACUUM work together to protect your data integrity.
Read articlePython has dominated programming for over three decades. From Instagram's backend to training LLMs, discover why Python is the best first programming language to learn in 2025.
Read article