Application Modernization
Move legacy platforms and costly proprietary stacks to maintainable, cloud-ready architectures, phase by phase, with tests guarding every step.
I design cloud platforms for industries where compliance isn't optional: healthcare, pharma, finance and manufacturing. Then I build a working slice with AI coding agents, so decisions rest on running software instead of slides.
I started by writing the code, moved on to designing the systems around it, and now use AI agents to do both faster without lowering the bar.
A decade at Ingram Content Group taking a Java EE monolith to microservices that handle millions of digital assets. Replacing a commercial DAM saved $100K a year.
API platforms, event-driven serverless and a regulated 340B claims system across pharma, insurance, manufacturing and healthcare. Cut cloud cost 30% and API latency 35%.
Senior consultant at AWS Professional Services on an IoT platform for 1,800+ sites. On my own products, AI agents write the code and I decide what ships.
Hands-on roles where I owned the design and stayed close to the code.
IoT telemetry platform for 1,800+ sites on Lambda, Kinesis, Timestream and Lake Formation. Feature flags and kill switches, cross-account data governance, CDK standards and production reliability reviews.
Regulated 340B claims platform, delivered with AI-assisted workflows in Claude Code.
Serverless, event-driven B2B and loyalty platforms. AWS, GCP and on-prem tradeoff assessments that cut cloud cost 30%.
Spring Boot microservices that raised throughput 50%.
API gateway and GraphQL layer for compliance reporting with OAuth and OIDC. Cut latency 35%.
Java EE to microservices across millions of digital assets. Replaced a commercial DAM, saving $100K a year.
Standards written where agents read them, bounded tasks, and gates that fail loudly. See how four real systems were built and validated.
Read the case studies
Three deep case studies, then the products I've been building lately. Each one is labelled for where it really stands.

Healthcare EDI hub · ~113K LOC · 539 tests

DTDL v3 → interactive 3D · ~1,500 tests

Multi-tenant SaaS · 1,479 unit + 85 E2E tests

Work orders, dispatch and invoicing for trade businesses

DJ mix studio with a Rust audio engine

Branded QR codes, batch export and an offline PWA

Gemini agent that turns an event brief into a run of show

Bridal storefront: PRD, three clickable directions, build handoff

Farm-to-city produce marketplace on India's ONDC
The four areas where an experienced hand saves your team the most time and risk.
Move legacy platforms and costly proprietary stacks to maintainable, cloud-ready architectures, phase by phase, with tests guarding every step.
Coach engineers to work productively with Claude Code, Copilot and Cursor agents, with standards, review and gates that keep quality intact.
Multi-cloud architecture on AWS, GCP and Azure for regulated industries: multi-tenant SaaS, data isolation and audit-ready design.
Bring physical systems into software: telemetry, standards-based twin models and interactive 3D visualization for facilities.
Boxes and arrows rarely capture the real complexity of a transformation. A focused proof of concept gets everyone on the same page, in weeks, not quarters.
Agree on the question the PoC must answer, and how we'll know it did.
Bounded phases, each a reviewed pull request with tests, built with AI agents.
Working software, measured numbers and a written report your team can act on.
Hands-on cloud architect with more than 20 years in healthcare, BioPharma, finance, manufacturing and publishing systems. I've led designs on AWS and GCP, and today I build with AI agents, MCP servers and Claude Code every day.
direkshan Digital is how I take on focused work. The idea behind it is simple: the best way to explain a technology change is to build a working slice of it with the people who will own it.
I'm open to architect and engineering-lead roles, and to focused engagements: modernization, AI adoption, a proof of concept or coaching for your team.