Dhananjay Singh — Engineering Leader & Solution Architect

Owned architecture and engineering delivery for cloud-based wealth management and CRM platforms used by financial advisers across Australia and the UK.

Leadership, delivery & stakeholder management

• Led 60 engineers across 6 delivery squads spanning India, Australia, and the UK, improving delivery velocity by 20–25% through structured engineering practices, coaching, and process improvement.
• Owned end-to-end delivery for CRM platforms serving Australia and the UK; moved the UK release cadence from once every 2–3 months to weekly while maintaining 99.99% uptime.
• Presented technical strategy, goal progress, and delivery risk to the Global CTO, local CTO, and local MD, aligning engineering execution with executive business priorities.
• Supported annual budget planning, including increment and promotion pool allocation, cost-vs-revenue analysis, and build-vs-buy decisions for platform and AI tooling investments.
• Mentored and promoted 8 engineers into leadership roles — 2 Senior Engineering Managers, 2 Engineering Managers, and 4 Principal Software Engineers — and led biweekly engineering-wide knowledge-sharing sessions.

Architecture & platform modernisation

• Selected event-driven microservices over incremental monolith patching after assessing scale, team topology, and delivery bottlenecks — cutting time-to-market by ~50% and enabling 6 squads to ship independently.
• Led decomposition of 4 legacy .NET monoliths into 12 independently deployable microservices over 3 years using Domain-Driven Design, reducing production incidents by 90%.
• Architected and scaled cloud-native systems on AWS supporting 3,000 daily active advisers, reducing infrastructure cost by 30% through right-sizing and automation.
• Designed event-driven integration using AWS EventBridge and SQS, and applied CQRS to separate read and write paths for performance.
• Stayed hands-on as a polyglot architect, building backend services and REST APIs in Python (FastAPI) alongside the core .NET Core estate.
• Standardised containerised build-to-deploy workflows (Docker, Jenkins, Amazon ECR, AWS ECS) across 6 squads and owned Terraform-based infrastructure as code.
• Ran proofs of concept on Kubernetes, Kafka, and gRPC to shape future platform direction, and owned a product built on Microsoft Dynamics 365 Sales.

Generative AI & agentic AI adoption

• Drove GenAI adoption across 6 engineering teams — prompt engineering standards, LLM-assisted code review, and documentation automation via GitHub Copilot — reaching 90% AI tool adoption within 2 months.
• Designed and implemented RAG pipelines using LangChain and vector embeddings for internal knowledge retrieval and automated documentation.
• Enabled squads to build agentic, multi-step AI workflows and shipped AI-powered product features using LLM APIs, RAG, and vector search into the advice platform.
• Cut PR cycle time from 3 days to 1 day and code review turnaround from 36 to 12 hours, and increased story-point throughput by 50% through AI-assisted workflows.

Observability, reliability & security

• Established the observability practice across 6 squads using New Relic, CloudWatch, and Splunk, so squads could self-serve root-cause analysis.
• Overhauled CI/CD, increasing deployment frequency from 1 to 5 per month and cutting change lead time from 120 minutes to 10 minutes.
• As Security Champion, led a team that reviewed and resolved 500,000+ security findings across Checkmarx, Wiz, BlackDuck, SonarQube, and Harness, embedding security by design across the SDLC.

• Led architecture and delivery of enterprise applications for 5 clients across utility, oil & gas, retail, and life sciences domains, progressing from Technical Lead to Solution Architect / Onsite Lead.
• Led solution design for 6 client RFP responses, winning 2 engagements worth a combined $12M USD — covering estimation, resource planning, and technology strategy.
• Delivered an end-to-end laboratory operations workflow platform using ASP.NET, AngularJS, WPF, and SQL Server.
• Modernised a GIS-based planning platform with a new web application on Angular, Web API, and ArcGIS.
• Conducted technical and architecture audits for global applications, identifying performance bottlenecks and delivering actionable design improvements.
• Spent 3+ years onsite in the United States working directly with client stakeholders on solution design and delivery governance.

• Built GIS and geospatial analytics applications for global clients, including a geospatial risk analytics platform for US insurance use cases.
• Contributed to a panoramic 360° street-level mapping platform processing large-scale imagery and spatial datasets.

• Developed GIS-based land management and government planning systems, delivering land-ownership and planning modules over large geospatial datasets.

• Architected and shipped CRMPro and PortfolioPro as live products, with CompliancePro, CashflowPro, and ResearchAndAnalyticsPro in development, delivered through a unified marketplace dashboard.
• Implemented LLM- and RAG-powered recommendation features in PortfolioPro, grounding adviser-facing portfolio suggestions in retrieved client and market context.
• Built and evaluated a RAG pipeline with semantic search and retrieval-accuracy evaluation, and fine-tuned a pretrained LLM with Hugging Face Transformers.
• Implemented Transformer self-attention, multi-head attention, positional encoding, and full encoder blocks from first principles in PyTorch.
• Used Claude Code with spec-driven development to go from specification to deployed applications across the suite.