
Vikram Deshpande
Sixteen years leading delivery across government, banking and telecommunications, May 2010 to September 2026 — currently Scrum Master and Project Manager on the Australian Taxation Office's Payday Super program.
Delivery leadership · AI solutions architecture
Melbourne, Australia
- ≈92% (Self-reported figure.)evidence effort removedATO Payday Super · 200+ SIT scenarios
- $5M+ (Self-reported figure.)program portfolio ledANZ · 5+ squads, up to 40 practitioners
- 10k+ (Self-reported figure.)devices at P95 < 200 msANZ · real-time telemetry platform
self-reported, from my CV. Repository figures below are harvested and dated.
Open to delivery-leadership and AI engagementsLinkedInGitHubEmail
Photograph · Melbourne
About
Ten dimensions, answered
I build a job-fit engine that scores a candidate against a role on ten dimensions. It is the fairest summary of a person I know how to write, so here I am on all ten of them.
There are no scores below. The engine refuses to publish a number it cannot source, and a number I assign to myself has no source at all — so these are answers, with the evidence beside them.
Dimensions taken verbatim from Victordtesla24/aether-job-career-agentapps/api/app/routers/jobs.py
—Ten axes · no scores
- Seven axes the engine computes from the candidate — answered on this page.
- Three it computes from the role. Nothing about a person to measure, so the sector stays open.
- 01
Technical Skills
Python and TypeScript to production, and REXX on a mainframe when the program actually needs it. Cloud-native across Azure, GCP and AWS; Kubernetes, Terraform, Postgres.
38 public repositories · ATO evidence harness · ANZ platform migrations
- 02
Experience Level
Sixteen years. Senior delivery lead and AI/ML solutions architect since 2017; before that, business analysis and project delivery from May 2010 — sixteen years and four months to September 2026.
ATO · ANZ · NAB · Microsoft · Telstra · InfoCentric · MYOB
- 03
Industry Match
Government, banking and telecommunications — three regulated industries where the delivery constraint is usually assurance, not engineering.
Australian Taxation Office, ANZ, NAB, Telstra
- 04
Role Alignment
Scrum Master and Project Manager who architects. I have never found the two halves to be separate jobs: the eight-squad test-evidence problem at the ATO was a delivery problem solved with a toolchain.
Payday Super program · Agile Kookaburras squad · PI 47–48
- 05
Culture Fit
Agile as practice rather than ceremony. Cadence and PI planning when the plan holds; a cross-discipline war room, inside three hours, when it does not.
5+ squads, up to 40 practitioners onshore and offshore
- 06
Salary Fitmeasured from the role (Computed from the role, not the candidate; answered as what he looks for.)
Melbourne market band for senior delivery leadership. I would rather agree the scope first and let the rate follow it.
Open to permanent and contract engagements
- 07
Location Matchmeasured from the role (Computed from the role, not the candidate; answered as what he looks for.)
Melbourne, Victoria. Hybrid locally, or remote across Australian and New Zealand time zones.
Currently on site with the ATO, Melbourne
- 08
Career Growth
Programs where AI delivery and AI assurance are the hard part — where somebody has to be accountable for whether the model output can be trusted, not just whether it shipped.
Langfuse + Phoenix evaluation stack · −38% simulated error-budget breaches
- 09
Company Stabilitymeasured from the role (Computed from the role, not the candidate; answered as what he looks for.)
I look for organisations that can absorb an honest status report. Every program I have rescued was one where somebody said the number out loud early enough.
75+ hours of evidence against 64 available — escalated, then re-baselined
- 10
North Star Align
Build systems whose claims can be checked. Everything I ship is designed to refuse to fabricate its own evidence, and to say so when it cannot measure something.
aether-job-career-agent · unmeasured signals read "not measured", never zero
Experience
Sixteen years, to scaleMay 2010 → September 2026
Every bar below is drawn to its real duration — the same dates as the CV, on one axis. The long one in the middle is eight years at ANZ, and it is the reason the rest of this reads the way it does.
Three roles state a figure in the CV. The other five state none, and none was invented for them — those carry an open bracket instead.
≈92% (Self-reported figure.)evidence effort removed across 200+ SIT scenarios
- Lead end-to-end agile delivery for the Agile Kookaburras squad — one of eight squads delivering NTP and Distribution UI capabilities for the ATO’s Payday Super reform — owning sprint cadence, PI planning (PI 47–48), capacity management, and executive status reporting.
- Architected the program’s COBOL/mainframe test-evidence automation strategy covering 200+ SIT/E2E scenarios across all eight squads, cutting evidence effort from ~3 hours to ~15 minutes per scenario (≈92% reduction) using a zero-new-approvals toolchain (REXX, SMF, SDSF, PCOMM, PowerShell, VBA).
- Converted a mathematically infeasible SIT window — 75+ hours of manual evidence per team against 64 available hours — into an achievable plan through a six-day tiered harness build with a formal go/no-go gate and a four-level contingency ladder.
- Convened and facilitated a cross-discipline technical war room that produced a binding automation recommendation in under three hours, securing endorsement without a single new InfoSec approval.
- Authored the executive change request re-baselining Payday Super test capacity from 30 to up to 90 person-days, including options analysis, costed recommendation, risk assessment, and full Azure DevOps traceability across 40 scenarios and 11 data tables (AC6–AC19) with STT regression scope.
- Unblocked stalled NTP function testing by escalating L2 environment instability and brokering targeted SME enablement, while steering Distribution UI feature delivery to 95%+ completion.
−38% (Self-reported figure.)error-budget breaches — measured against a simulated budget, not live traffic
- Architected and developed a Next.js and Supabase analytics dashboard for JIRA to expose sprint velocity metrics and generate LLM-powered retrospective insights.
- Built an LLM evaluation stack using Langfuse and Phoenix that reduced simulated error-budget breaches by 38%, alongside a production-grade Node.js/Express public-key server for API signing with full test coverage.
- Built 'AI Resume Tailor', an automated NLP system using web scraping and prompt engineering to match CVs to job descriptions instantly.
- Created 'AI Gmail Manager', an autonomous TypeScript agent for inbox triage, sentiment analysis, and draft generation using LLMs.
- Developed 'Jyotish Shastra' and 'BTR-Demo', enterprise-grade platforms exploring the intersection of ancient Vedic algorithms and modern AI/ML, and a React/TypeScript + D3 customer-journey visualiser.
- Creator of the @vicd0ct YouTube channel, producing technical deep-dives on live coding, algorithm archaeology, and telemetry breakdowns.
10k+ (Self-reported figure.)concurrent devices at P95 under 200 ms
- Led the delivery of AI/ML solutions, including real-time WebSocket telemetry sustaining P95 latency under 200 ms across 10,000+ concurrent devices for critical banking services.
- Guided the transition of core banking platforms to cloud-native architectures (.NET/Azure), improving delivery efficiency by more than 30% and reducing infrastructure costs by over 15%.
- Managed a program portfolio valued at over $5M across 5+ cross-functional squads (up to 40 onsite and offshore practitioners) with 100% compliance to enterprise standards and risk frameworks.
- Owned the technical vision and product backlog for platform modernisations; executive workshops for 40+ leaders improved strategic decision clarity by approximately 55%.
no published figure (Not measurable; reason given.)
- Managed the delivery of a critical risk-and-compliance program, ensuring regulatory adherence for major enterprise data initiatives.
no published figure (Not measurable; reason given.)
- Delivered a gap analysis for Azure ML telemetry that improved system reliability and reduced incident resolution time.
- Aligned DevOps strategies with enterprise standards to improve compliance.
no published figure (Not measurable; reason given.)
- Developed customer journey scorecards and streamlined JIRA requirements to improve delivery efficiency and operational clarity.
no published figure (Not measurable; reason given.)
- Delivered analytics and BI projects that boosted client engagement and automated regulatory reporting.
no published figure (Not measurable; reason given.)
- Optimised data processing workflows, improving efficiency and reducing reporting time for financial data sets.
Skills & Certifications
Calibration card
Every instrument ships with a certificate saying what was tested, where, and what was not. This is that certificate. There are no proficiency bars on this page, because nobody can check one.
Programmes
Repositories
Credentials
20 links · 13 sources · 17 capabilities. Hover or tab a node to trace it.
- measured in production
- measured outside production
- ○ ()in progress, not yet held
17 of 17 capabilities shown
| Capability | Evidence | Where | Status |
|---|---|---|---|
| Mainframe test automation — REXX, SMF, SDSF, PCOMM | 200+ SIT/E2E scenarios · ~3 h to ~15 min per scenario | ATO · Payday Super | measured in production |
| Agile delivery at programme scale | 8 squads · PI 47–48 · test capacity re-baselined 30 → 90 person-days | ATO · Payday Super | measured in production |
| Real-time telemetry platforms | 10,000+ concurrent devices held at P95 under 200 ms | ANZ | measured in production |
| Cloud-native migration — .NET, Azure | >30% delivery efficiency · >15% infrastructure cost reduction | ANZ | measured in production |
| Programme and portfolio management | $5M+ portfolio · 5+ squads · up to 40 practitioners onshore and offshore | ANZ | measured in production |
| Multi-agent system design — Python, FastAPI, Postgres, Redis | 20 agent engines · 22 routers · 4,272 backend tests · live on a VPS | aether-job-career-agent | measured in production |
| LLM evaluation and guardrails — Langfuse, Phoenix | −38% error-budget breaches; entailment guard reverts unsupported claimsthe −38% was measured against a simulated error budget, not live traffic | Independent · aether-job-career-agent | measured outside production |
| Next.js and TypeScript at production scale | 39 page routes · 2,326 unit cases · 26 Playwright specs | aether-job-career-agent | measured in production |
| Node.js / Express services | PEM key-distribution service · full Mocha/Chai coverage | public-key-server | measured in production |
| Containerised delivery — Docker, systemd, self-hosted CI | build → gate → deploy → smoke test → automatic rollback on failure | aether-job-career-agent · abentertainment | measured in production |
| Multi-service orchestration — Docker Compose | gateway, AI service and Redis composed across separate stacksCompose, not Kubernetes — there are no cluster manifests in that repository | containerised-birth-time-rectifier | measured outside production |
| WebGL and GLSL — three.js, React Three Fiber | bespoke shaders and scenes, one context per section, no context loss | this site · abentertainment | measured in production |
| Data visualisation | customer-journey timeline in React/TypeScript; sprint-velocity dashboard in Python | relationship-timeline-feature · EFDDH-Jira-Analytics-Dashboard | measured in production |
| Certified Scrum Master (CSM) | Scrum Alliance credential, held | Scrum Alliance | measured in production |
| Master of Computer Science (Honours) | conferred | Monash University | measured in production |
| Bachelor of Engineering, Computer Science | conferred | University of Melbourne | measured in production |
| AWS and GCP certification | studying; no certificate issuedlisted because the CV lists it — saying so is the point of the card | — | in progress, not yet held |
Every calibration above, on one page — exactly as it reads on the CV.
Download CVWhat is keeping me busy
Six of thirty-eight
Thirty-eight public repositories exist. These six are the ones worth your time, each with what it does not do printed beside what it does.
- 01aether-job-career-agent
Aether
A job-application platform whose guard reverts any claim your own résumé cannot support.
- commits
- 1,664
- active
- 2026-07 → 2026-09
- stack
- Python · TypeScript · HTML
LimitsThe public CI workflow is red on main; production deploys through a separate gated pipeline.
- 02abentertainment
AB Entertainment
A live event company’s site and admin portal, containerised and deployed from a push.
- commits
- 243
- active
- 2026-03 → 2026-08
- stack
- HTML · TypeScript · JavaScript
LimitsContent persists as flat JSON files, not a database — sized for one editor, not many.
- 03ralph-loop-infinite
Ralph Loop
An agent loop whose only exit is a signed verifier saying the work actually passed.
- commits
- 31
- active
- 2026-05 → 2026-05
- stack
- Shell · Python · HTML
LimitsA harness for his own machine, not a product; it assumes a trusted local environment.
Sourceno public deployment - 04prompt-reconstruction-engine
Prompt Reconstruction
Rebuilds a raw prompt into a specification, with provider failover when a model declines.
- commits
- 34
- active
- 2026-06 → 2026-06
- stack
- HTML · JavaScript
LimitsReconstruction quality is judged by the operator; there is no automated benchmark yet.
Sourceno public deployment - 05jyotish-shastra
Jyotish Shastra
A Vedic astrology API with an ephemeris accuracy gate that fails the build on drift.
- commits
- 214
- active
- 2025-06 → 2025-11
- stack
- JavaScript · CSS · Shell
LimitsAn engine, not an interpretation: it computes positions and declines to tell fortunes.
Sourceno public deployment - 06forgotten-mistory
This site
The page you are reading: static export, one WebGL context per section, no analytics.
- commits
- 205
- active
- 2025-11 → 2026-09
- stack
- TypeScript · JavaScript · CSS
LimitsEvery figure on it is quoted from a CV or a repository — none is computed live.
These six are shipped work. The inbox that answers a role enquiry answers a project brief.
Email a 20-minute-call agendaExcluded, and why
- vik-legal-defence
- a personal legal matter; not a work sample
- AI-Gmail-Mailbox-Manager
- an environment file was committed early in its history
- Codex · claude-designs
- scratch workspaces — no reviewable architecture
38 public repositories · metrics harvested 2026-09-03 from the GitHub API, not live
Always willing to listen
Feedback & coffee?
I have been wrong often enough to want to hear it early. Tell me what you think — I’ll listen properly.
- Email a 20-minute-call agenda
- sarkar.vikram@gmail.com
- +61 433 224 556
- linkedin.com/in/vikramd-profile
- github.com/Victordtesla24
Coffee · Melbourne CBD · I’ll come to you