.NET
Azure
Healthcare
Claims Processing Platform
Event‑driven microservices with OCR, reducing cycle time by 62%.
Portfolio
Real projects. Real outcomes.
Explore selected work across .NET, Java, and Python—from cloud‑native platforms to data products. Filter by industry, tech, or service to find what’s relevant.
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Java
Kubernetes
Retail
E‑commerce Re‑platform
Spring microservices, 99.99% uptime, +38% conversion.
Python
Data
SaaS
Analytics Lakehouse
Unified ETL + BI with dbt & Spark powering real‑time dashboards.
.NET
React
SaaS
IoT Device Management
Real‑time telemetry & control, multi‑tenant architecture.
Java
Kafka
Fintech
Payment Gateway Optimization
Latency cut by 42% with async flows & idempotent retries.
Python
Snowflake
Retail
Customer 360 Data Hub
Unified profiles, identity resolution, and attribution models.
.NET
Blazor
Healthcare
Telemedicine Portal
HIPAA‑aware video consults & e‑prescriptions.
Python
ML
SaaS
Marketing Attribution Model
Multi‑touch modeling with Shapley value explanations.
Java
React
Fintech
Portfolio Analytics Suite
Risk metrics, backtesting, and trade simulations.
120+
Projects delivered
38%
Avg. conversion lift
99.99%
Platform uptime
25%
Faster lead‑time
Claims Processing Platform
Event‑driven microservices with OCR & human‑in‑the‑loop review to streamline medical claims.
Microservices
OCR
CQRS
Azure Service Bus
Problem
High manual load, long cycle times, error‑prone data entry, and limited auditability.
Solution
Event‑driven architecture with OCR extraction, validation workflows, and role‑based review. Exposed REST/GraphQL for integration.
- ASP.NET Core, Azure Functions, Service Bus
- Blob Storage + Key Vault + App Gateway
- Observability: OpenTelemetry + App Insights
Outcomes
- 62% reduction in processing time
- 99.99% uptime across peak season
- Improved audit trail & compliance posture
PDF summary available upon request.
E‑commerce Re‑platform
From monolith to Spring microservices on K8s with zero‑downtime deployments and shared design system.
Checkout
Catalog
Promotions
A/B testing
Problem
Rigid monolith, slow releases, and performance bottlenecks under sale traffic.
Solution
Domain‑driven decomposition, API gateway, and blue/green deploys. Observability across services.
- Spring Boot, Postgres, Redis
- Kubernetes (HPA), Helm, ArgoCD
- Prometheus/Grafana + OpenTelemetry
Outcomes
- +38% conversion after launch
- p95 latency ↓ 47% under load
- 99.99% uptime during peak sales
Analytics Lakehouse
Unified ingestion → transformation → BI with dbt + Spark and governed data contracts.
dbt
Spark
Airflow
OpenLineage
Problem
Data silos, slow ELT, and inconsistent metrics across teams.
Solution
Contracts & validation at source, streaming ingestion, and curated marts for self‑serve BI.
- FastAPI services for ingestion & access control
- Warehouse: Snowflake / BigQuery
- Data quality monitors & alerts
Outcomes
- Hours → minutes from data to dashboard
- Single source of truth for KPIs
- Fewer incidents via lineage & tests
What clients say
Delivery you can trust
★★★★★
“The re‑platform exceeded targets and gave us the velocity we needed. Releases are calm now.”
Head of Digital
Global Retailer
★★★★★
“Observability and SRE practices cut incidents dramatically. We finally sleep at night.”
VP Engineering
Fintech Platform
Process
How we run case studies
Scoping
Define goals, risks, and KPIs. Draft SOW and plan.
Build
Agile sprints with demos, CI/CD, and quality gates.
Launch
Blue/green or canary with runbooks and on‑call ready.
Measure
Track KPI deltas, adoption, and cost. Iterate.
Have a challenge like these?
Tell us about it. We’ll share a tailored plan and relevant case studies.