Proof

Hands-on experience across startups, enterprises, and mission-critical systems.

Proof Highlights

Hands-on CTO leadership for a startup in digital receipts + in-app advertising. Owned engineering execution, delivery, and hiring.

Built Golang microservices on AWS (ECS/ECR, Postgres, SES, S3) with full CI/CD automation, security hardening, and comprehensive observability (SLO 99.95%, p95 <150ms).

Led a team of 5 engineers (backend/frontend/QA) in a fast-paced startup environment. Established development workflows, code review processes, and technical mentorship.

Built microservices + ETL/data pipelines for retail enterprises on AWS. Processed high-volume transaction data with reliability and performance requirements (processing 250K+ events/day).

Built Kubernetes microservices in a secure aerospace environment processing real-time satellite imagery. Strict security clearance and compliance requirements (99.9% uptime).

Dockerization + CI/CD + logging/monitoring improvements in a large ecommerce context. Modernized legacy infrastructure for scale and reliability.

Production systems experience across startups (CTO roles) and enterprises (Airbus, Orange, major retailers).

Deep expertise: Cloud-native architectures, microservices, security-sensitive systems, high-traffic platforms, and DevOps/SRE practices.

Case Studies

Real production outcomes from anonymized client engagements.

Digital Receipts Pipeline + In-App Stories Advertising Module

Context

Startup (digital receipts + in-app advertising). Early-stage, product-market fit phase.

Challenge

Build a scalable receipt processing pipeline and advertising delivery system from scratch. Zero infrastructure. Tight timeline. Product-market fit validation phase.

What We Built

Architected and built Golang microservices for receipt ingestion, processing, and storage
Designed AWS infrastructure (ECS/ECR, RDS Postgres, S3, SES) with auto-scaling
Built in-app advertising stories module with impression tracking and analytics
Implemented CI/CD pipelines with automated testing and zero-downtime deployments
Set up comprehensive observability: CloudWatch metrics, structured logging, PagerDuty alerts
Led team of 5 engineers (backend, frontend, QA) with agile workflows and code reviews

Validation Results

System processing 50K+ receipts/day with 99.95% uptime
Ad delivery module serving 2M+ impressions/month
p95 API latency <150ms
Infrastructure cost $1,200/month at scale
Team velocity: 12+ deploys/week with <15min MTTR

Outcome

Platform validated product-market fit and scaled to thousands of daily active users. System remained stable through growth phase with zero critical incidents.

"The technical foundation was rock-solid from day one. We could focus entirely on product and customers, not firefighting infrastructure."

— CEO, Digital Receipts Startup

Stack

Golang, AWS (ECS, ECR, RDS Postgres, S3, SES, CloudWatch), Docker, GitHub Actions, Terraform

Retail Data Microservices + ETL Pipelines on AWS

Context

Retail enterprise. Cloud migration from legacy monolith.

Challenge

Legacy monolith couldn't scale. Manual data processing. No real-time analytics. Cloud migration risk.

What We Built

Designed microservices architecture for transaction processing and analytics
Built ETL pipelines processing high-volume retail transaction data on AWS
Implemented event-driven architecture with SQS/SNS for decoupling
Set up data warehouse on Redshift with real-time dashboards
Automated infrastructure provisioning with Terraform
Established monitoring and alerting for data pipeline health

Validation Results

Processing 250K+ transactions/day with <5min data latency
System handling 3x Black Friday traffic without degradation
ETL pipeline reliability: 99.8% success rate
Cloud cost optimized to 40% reduction vs. initial architecture
Real-time analytics dashboard with <1min refresh

Outcome

Migrated legacy system to cloud with zero downtime. Enabled real-time business intelligence that was previously impossible. Reduced operational costs while improving reliability.

"The migration was seamless, and we finally have the data insights we needed to make better decisions. The system just works."

— Head of Product, Retail Enterprise

Stack

AWS (Lambda, ECS, SQS, SNS, Redshift, S3, CloudWatch), Python, Terraform, Datadog

Secure Kubernetes Microservices for Real-Time Satellite Imagery Processing

Context

Aerospace environment. Security clearance required. Mission-critical operations.

Challenge

Process satellite imagery in real-time with strict security compliance. Air-gapped environment. High availability requirements.

What We Built

Architected Kubernetes-based microservices platform in secure air-gapped environment
Implemented real-time image processing pipelines with distributed workers
Designed security controls: RBAC, network policies, encrypted storage, audit logging
Built CI/CD pipelines compliant with security clearance requirements
Set up monitoring, alerting, and distributed tracing with on-premise tools
Established disaster recovery and business continuity procedures

Validation Results

Processing 500+ images/hour with <30s processing latency
System uptime: 99.9% in mission-critical environment
Passed security audits with zero critical findings
Auto-scaling handling 5x burst traffic during peak operations
MTTR for incidents: <10 minutes

Outcome

Delivered secure, production-grade system that met all compliance requirements. Enabled real-time processing capabilities that were previously manual and slow. System operated reliably in high-stakes environment.

"The security rigor and reliability standards exceeded our expectations. This system handles mission-critical operations with zero compromise."

— CTO, Aerospace Contractor

Stack

Kubernetes, Docker, Golang, Python, Prometheus, Grafana, GitLab CI, Terraform, Vault