Data architecture
PostgreSQL schemas, DDLs, migrations and pipelines for enterprise programmes.
I build enterprise data systems
Software engineer working where code, statistics and finance intersect, at one of the world's largest analytics companies by day, and on two of my own products by night.
At SAS Institute I build PostgreSQL data systems for organisations like NAB, NDIA, IRD, MSD and Westpac. After hours I design and ship MonkeyLedger and LiveNearer. Both are live in production.
PostgreSQL schemas, DDLs, migrations and pipelines for enterprise programmes.
Board-ready dashboards, executive reporting, and SAS-platform delivery.
Full-stack indie products shipped end-to-end and live in production.
Claude Code skills, Groq integrations, and AI-augmented workflow design.
I'm a software engineer based in Sydney, working at SAS Institute on enterprise data delivery: PostgreSQL architecture and schema design, board-ready dashboards and Excel-automation pipelines for organisations like NAB, NDIA, IRD, MSD and Westpac.
My degree is a conjoint in Computer Science, Statistics and Finance from the University of Auckland, a combination I chose deliberately, because the most interesting problems live where those three fields collide. Four Top Achiever Awards across the programme.
I find the small frictions everyone lives with, then I build them away.
Outside SAS I design and ship two products end-to-end. MonkeyLedger is an AI-augmented personal-finance app for AU and NZ. LiveNearer is a suburb-discovery platform scoring neighbourhoods by liveability across Australasia. Both are full-stack and live in production.
When I'm not coding I'm on a tennis court, in the kitchen, or out walking my Golden Retriever, Buddy.
A snapshot of what I'm working on right now, refreshed each month.
Relocated from Auckland to Sydney. Continuing as a Senior Associate Technical Consultant on SAS's flagship NZ data programme. Scope: PostgreSQL architecture, schema design, board-ready dashboards, and Excel-automation pipelines for senior client stakeholders. Sustaining strong realisation across the year.
Recently engaged on the NAB account, covering user support, SharePoint administration, Oracle-to-SAS integration, and migration of mission-critical operational code across multiple financial departments.
Outside the day job: shipping MonkeyLedger v19, an AI-augmented personal-finance app for AU and NZ; scaling LiveNearer across Australian and New Zealand cities; and prototyping a production-grade Polymarket BTC trading system built on LightGBM with an 8-state HMM regime detector and triple-barrier labelling.
Also authoring a library of Claude Code skills for accessibility, SEO/GEO, security audit, web performance, and schema markup, packaged for reuse across projects.
Primary client: NDIA (National Disability Insurance Agency), Australia's largest social-services data platform. Wrapped up the FMG insurance automation programme. Scope spanned data architecture, visualisation and automation.
Primary clients: MSD and IRD. Kicked off the FMG insurance automation engagement late in the year.
Earned CAPM (Certified Associate in Project Management). Appointed to the AUT Computer & Mathematical Sciences Industry Advisory Board.
Internship converted to a permanent position. Primary client: Westpac NZ.
Attained SAS Certified Specialist: Base Programming Using SAS 9.4.
Awarded Top Achiever in HCI and Computer Graphics. Internship at Billdr (fintech). Graduated and secured a permanent offer from SAS Institute.
Awarded Top Achiever in Object-Oriented Software Development. Elected Executive & Social Media Manager at UoA Esports (500+ members).
Added Finance as a third conjoint alongside Computer Science and Statistics. Awarded Top Achiever in Data Technologies and Economics. Joined UoA Esports social media team.
Commenced BSc in Computer Science and Statistics. Awarded Top Achiever in Introduction to Software Fundamentals.
Graduated with a Merit endorsement. Secured early entry into UoA's BSc in Computer Science and Statistics.
Single-file personal-finance app with Google Drive sync and AI-augmented insights via Groq's API. Production-ready: rate limiting, API-key obfuscation, full legal disclosures, AU/NZ focus.
Suburb-discovery platform scoring neighbourhoods across Australia and New Zealand by amenity, transport and lifestyle factors. City pages live for Sydney, Melbourne, Perth and Auckland.
Custom NLP sentiment classifier built on Cambridge dictionary lexicons at ~85% accuracy. Integrated with the Twitter Developer API for live hashtag and timeline sentiment tracking.
Computer-vision pipeline: greyscale, histogram stretching, mean blur, thresholding, morphological operations. DFS-based connected-components for plate localisation, then crop and OCR.
A working log of what I'm building and the references I keep coming back to. Long-form essays land here as I write them. For now, each note links to the relevant artifact, repo, or live product.






Deepening expertise across the SAS platform toward AI-augmented, cloud-native enterprise systems. The long-term direction: solution architecture across data and fintech.
Growing MonkeyLedger and LiveNearer from side projects into real products with real users, designed and shipped end-to-end, to production standards.
Building on CAPM toward PMP and broader project ownership: governance, client relationships and cross-functional delivery led by example.
The Auckland-to-Sydney move opens Australia's fintech ecosystem, broader cross-border networks, and a path toward ANZ and global programmes.
Open to senior roles, product collaborations, and advisory conversations, especially in fintech, data infrastructure and product engineering. Replies are usually within 24 hours.
janhavkhanna@gmail.com Click to copy