Anjali Bhansari
builds systems that ship faster.
Senior Software Engineer, 9+ years across real estate, HR tech, and enterprise platforms — now specializing in AI-augmented engineering and agent-driven delivery.
> distributed systems · LLM-integrated products · spec-driven agent workflows
Experience, staged like a release pipeline
Each role shipped further up the stack — from backend systems, to enterprise platforms, to AI-augmented product engineering.
Owns end-to-end development of a high-scale Australian real estate platform used for property discovery and financial decision-making.
- Built AI-powered, customer-centric search using LLM integrations, improving personalization and engagement
- Improved page load performance by 35% by optimizing Core Web Vitals and reducing latency
- Designed a scalable, reusable frontend architecture that improved maintainability and team velocity
- Developed spec-driven, agent-based workflows that accelerated feature delivery and cut inconsistencies
- Automated the Jira–Clockify workflow, saving ~30 minutes per developer per day
- Integrated AdTech platforms, growing revenue while holding performance benchmarks steady
- Led code reviews and mentored engineers across distributed teams
Designed enterprise HR systems that reshaped operational workflows across the organization.
- Built an offboarding system and a structured 5-5-5 feedback model
- Developed a CO₂ emission calculator to enable sustainability tracking
- Automated BRD workflows, improving requirement tracking efficiency
- Delivered backend solutions in .NET, Oracle, and MVC architecture
Five years building ERP, fintech, and mobile systems from the ground up, including leading small delivery teams.
- Built ERP systems, GST e-Invoice solutions, and trading platforms
- Developed hybrid mobile apps with secure authentication, payments, and real-time communication
- Published and maintained apps on the Play Store and App Store
- Designed optimized database systems — procedures, triggers, and role-based access control
- Led small teams, owning delivery, quality, and stability
Campus-selected for enterprise training; built a Sports Academy Management System end to end, from design through deployment.
AI systems & automation
Not just using AI tools — designing the workflows and orchestration that let a team ship with them.
Built end-to-end AI-augmented engineering workflows that convert Jira requirements into production-ready features, using MCP-based orchestration and agent-driven development.
Agent-based development systems — agents.md conventions plus MCP server integrations, improving development velocity, consistency, and delivery efficiency.
LLM-integrated product features — intelligent search, automation, and personalization built into the core product experience.
Jira → Clockify → GitHub pipeline — automated worklogs and commit tracking, saving ~30 minutes per developer, every day.
AI coding assistants in daily practice — Copilot, Cursor, and Claude for code generation, review, and faster, higher-quality delivery cycles.