Work
Case Studies
Real projects, measurable outcomes. Explore how I've helped organizations achieve their technology goals across HRTech, healthcare, IoT, and public sector.
AI-powered ATS: 50% reduction in time-to-hire
Chief Technology Officer • Noble House
2019 — PresentPublished Jun 2019
Built a modular ATS with resume parsing, ranking, and analytics. Added eval harness and hiring funnels to halve time-to-hire.
Key Outcomes:
- •50% reduction in time-to-hire across the Noble House consultant pipeline
- •Improved candidate NPS through transparent, faster hiring stages
Fractional CTO: AI startup MVP to production in 14 weeks
Fractional CTO • Series A AI SaaS (confidential)
Mar 2026 — Jun 2026Published Jun 2026
Led architecture, hiring, and delivery for an AI workflow product — from zero to paying customers with eval harness, guardrails, and SOC2-ready foundations.
Key Outcomes:
- •Shipped production MVP in 14 weeks with 3 design-partner customers live
- •Built evaluation harness covering accuracy, latency, and cost per workflow run
Senior-living voice agents: safer resident services at scale
CTO / AI Platform Lead • OEAT (One Eighty Aamoksh Technologies)
Feb 2025 — PresentPublished Feb 2025
Architected voice and agentic workflows for resident services in senior-living communities — with trust boundaries, human escalation, and compliance-aware data handling.
Key Outcomes:
- •Deployed agent-assisted intake across pilot communities with <2s median response
- •Human-in-the-loop escalation for 100% of sensitive health-related intents
Production AI agent eval harness: 40% fewer production incidents
Chief Technology Officer • Noble House Consulting
Jun 2025 — Mar 2026Published Sept 2025
Designed a three-layer resilience model and automated eval suite for AI agents handling recruiter workflows — cutting live incidents and rollback frequency.
Key Outcomes:
- •40% reduction in production agent incidents within two quarters
- •Weekly red-team and drift tests integrated into CI/CD
ATS ranking upgrade: bias audits + eval dashboard
Chief Technology Officer • Noble House Consulting
Jul 2024 — Jan 2025Published Aug 2024
Extended the Noble House ATS with structured bias evaluation, ranking transparency, and a recruiter-facing eval dashboard tied to hiring KPIs.
Key Outcomes:
- •Fairness audit pipeline running on every ranking model release
- •Recruiter trust score improved via explainable ranking signals
Talent graph: 3× faster consultant discovery in closed networks
Chief Technology Officer • Noble House Consulting
Jan 2024 — Jun 2024Published Mar 2024
Replaced linear talent-pool search with a graph-based discoverability model for closed consultant ecosystems — context, skills, and relationship-aware matching.
Key Outcomes:
- •3× faster time-to-shortlist for niche consultant requests
- •Graph queries outperforming legacy SQL search on complex skill combos
Enterprise RAG: internal knowledge base for 200+ consultants
Fractional CTO • Management consulting firm
Aug 2023 — Feb 2024Published Oct 2023
Built a retrieval-augmented knowledge platform indexing proposals, playbooks, and case archives — with citation grounding and access controls.
Key Outcomes:
- •70% reduction in time spent searching historical proposals and decks
- •Citation-grounded answers with source links for auditability
HealthTech VAPT remediation: audit-ready in 8 weeks
Fractional CTO • Digital health platform (South Korea)
Apr 2023 — Aug 2023Published May 2023
Closed critical VAPT findings and mapped ISO/GDPR controls to a prioritized remediation backlog with evidence packs for enterprise buyers.
Key Outcomes:
- •Closed 100% of critical and high-severity findings in 8 weeks
- •Delivered evidence pack enabling enterprise procurement approval
Engineering velocity turnaround: 2× sprint throughput
Fractional CTO / Coach • SaaS / Enterprise (150-person eng org)
Sep 2022 — Mar 2023Published Nov 2022
Restructured rituals, review standards, and Definition of Done for a mid-market SaaS team — doubling velocity while cutting rework.
Key Outcomes:
- •2× sprint throughput within one quarter
- •Rework dropped ~35% via design clinics and blameless postmortems
Custom e-commerce: +40% sales in 6 months
CTO • E-commerce
2020 — 2021Published Jan 2021
Built a scalable commerce stack with performance tuning and CRO testing.
Key Outcomes:
- •40% uplift in sales within six months of launch
- •Reduced cart abandonment through optimised checkout flow
Zero-downtime cloud migration: 60% scalability boost
CTO • Enterprise systems
2019 — 2021Published Sept 2020
Lift-and-optimize to AWS/Azure with autoscaling, IaC, and observability.
Key Outcomes:
- •60% improvement in system scalability with zero-downtime cutover
- •Infrastructure-as-code baseline with automated cost guardrails
AI-Driven Gig HR Platform: 25k+ workers at scale
CTO / Platform • HRTech
2019 — 2020Published Mar 2020
Automated hiring, onboarding, payouts, and engagement for a national gig workforce.
Key Outcomes:
- •End-to-end automation across a 25,000+ worker lifecycle
- •Reduced cost-per-hire and improved fill-rates through intelligent matching
Blockchain traceability in agriculture: 30% fraud reduction
CTO • National initiative (Korea)
2018 — 2019Published Feb 2019
Designed and deployed an Ethereum/Hyperledger-based supply-chain ledger for crop traceability.
Key Outcomes:
- •30% reduction in agricultural supply-chain fraud
- •Shared, auditable ledger across farmers, distributors, and retailers
Digital health ecosystem: patient–doctor–technician apps
CTO • South Korea
2017 — 2019Published Apr 2018
Patient, doctor and technician apps with EHR integrations and telemedicine in South Korea—faster triage, follow-ups, and continuity of care. HealthTech case study.
Key Outcomes:
- •Streamlined care delivery with telemedicine and connected apps
- •Faster triage and better continuity of care
IoT Fitness Stack for Public Sector (KSA)
Tech Lead / Architect • Government project, Saudi Arabia
2016 — 2017Published Aug 2017
IoT fitness stack for Saudi public sector: device firmware, mobile apps and analytics raising citizen engagement and enabling data-driven wellness policy decisions.
Key Outcomes:
- •Improved user engagement and actionable, data-driven decisions
- •End-to-end telemetry from devices to BI dashboards