AI systems that can be evaluated
Define evidence boundaries, schemas, quality gates, approval points, and failure behaviour before an AI workflow reaches users.
See evidence: Scoped agent access PoCEngage: AI Production Readiness
Build the right system. Get it into production.
I help technology leaders make consequential architecture decisions, modernize complex platforms, and move AI systems from prototypes into controlled production.
01 / About
I’m Somesh Jha. I lead senior architects and advise enterprise clients across banking, insurance, and telecom on the technology decisions that determine whether a platform actually reaches production.
Over the past 3.5 years I’ve grown the architecture and engineering practice I lead from roughly 3 to 54 people, operating through senior architects and distributed teams across banking, insurance, and telecom. That scale matters: knowing how to architect a distributed platform is one skill; knowing how 40+ engineers actually deliver it is another, and enterprise clients need both.
Across 13+ years of public work and generalized client engagements, I’ve led complex technology initiatives from discovery through delivery: modernizing monolithic applications, integrating mainframe systems with Kafka, defining cloud transformation roadmaps, and developing computer-vision and AI platforms.
02 / Services
Hands-on advisory for organizations making consequential platform, modernization, and AI decisions.
Define evidence boundaries, schemas, quality gates, approval points, and failure behaviour before an AI workflow reaches users.
See evidence: Scoped agent access PoCEngage: AI Production Readiness
Turn business constraints into target-state designs, decision records, delivery increments, and named technical ownership.
Read: Building an architecture decision systemEngage: Architecture Decision Sprint
Find viable seams in legacy systems, sequence migrations, and keep customer and operational flows working throughout the transition.
See evidence: Tier-1 banking & insurance modernizationRead: Modernizing a legacy core
Test assumptions across data, integration, security, operations, and compliance; record the decision and the risks that remain.
Give executives and clients an independent view of platform choices, delivery exposure, team capability, and where investment will matter.
03 / Selected work
Public work and generalized client engagements. The details below are specific; client-sensitive information is not.
A local-first application that turns incomplete requirements into HLDs, C4 diagrams, ADRs, risks, and backlog items while keeping every AI-assisted step reviewable.
Designed and delivered the first release of an event-driven integration platform, then led architecture and delivery for the second release across client teams and vendors.
Assessed the legacy estate, designed a cloud-native target state, and facilitated the engineering and executive decisions needed to approve a multi-year roadmap.
Architecture and engineering leadership for high-volume financial platforms modernizing product, pricing, and account processing workloads, delivered through senior architects and distributed teams.
Also: named inventor on US Patent 11,270,105 for extracting and analyzing information from engineering drawings.
04 / Let’s talk
Most of my work starts with a question rather than a statement of work.
If you’re working through something similar, let’s talk. No deck required, no sales pitch.
30-minute introductory conversation
Book 30 minutes. Bring the problem; no deck required.
Prefer email? me@someshjha.com. I read and respond to these personally.