Senior Director, Operations & Independent Builder
I run AWS, network, datacenter, and systems teams at enterprise scale, and I build production software on the side: AI agent tooling, contract intelligence, and personal-data platforms. Source stays private. The work below is deployed and running.
Selected Work / 06
LLM agent observability platform. Captures agent trajectories, embeds and clusters them, and replays runs deterministically to catch regressions. Deployed to production.
verdict.jaitly.dev · demo on requestAI contract intelligence. Extracts license terms from PDF/DOCX with every value pinned to its source span and verbatim quote, confidence-gated to a human review queue, persisted as a constraint graph.
Private buildFamily document vault: identity, medical, legal, and financial records with expiry alerts and member sharing. SSO across a shared identity tenant, encrypted blob storage.
family.jaitly.dev · demo on requestProperty management: maintenance, expenses, income, documents, vendors, and reminders. Direct JWKS token validation, dashboard rollups across every property.
property.jaitly.dev · demo on requestPersonal finance: accounts, transactions, budgets, bills, and savings goals with AI-generated insights. Imports transaction data and syncs with the property platform.
finance.jaitly.dev · demo on requestEnterprise risk intelligence: unified engines for anomaly, capacity, and vendor-risk scoring under one platform. Proof of concept behind an active patent effort.
Private POCInfrastructure & Automation / ops
Ansible automation for standardized server build workflows: provisions VMs on VMware vSphere from template through OS configuration, repeatable and idempotent across tiers, driven by templated host and group variables. A new host comes up the same way every time, no manual steps.
Sanitized · patterns on requestAnsible automation for network device patching: staged rollout, automatic config backup before change, and validation after, so a patch cycle that used to be manual and risky runs the same way every time and proves itself when it lands.
Sanitized · patterns on requestAnsible-driven health checks across network devices: templated probes gather state, flag drift and failures, and roll up into readable reports. Catch problems on a schedule instead of during an incident.
Sanitized · patterns on requestAnsible automation that keeps a live, accurate inventory of network devices: collects facts from the fleet and renders them into a single source of truth, instead of a spreadsheet that goes stale the day it is written.
Sanitized · patterns on requestA hands-on AWS lab built entirely in Terraform and documented as I go: reproducible VPC, compute, storage, and IAM scenarios mapped to the Solutions Architect Associate domains. Infrastructure as code, torn down and rebuilt on demand.
Docs & walkthrough on requestHow I Build
Every project above runs on real infra with custom domains, SSO, and CI. Not demos.
Extracted or inferred data carries its source. Confidence gates route the uncertain to human review.
Secrets as refs, tenant isolation, fail-loud error handling, rollback plans. Habits from running systems at scale.
Claude for extraction, insight, and agent tooling, with deterministic validation around the model, not blind trust.
Repositories are private. Live links, architecture, and outcomes are shared openly; source and infrastructure detail available on request under NDA.