About.

Software Architect at Entrata India with seven-plus years building property-management software at scale. Lately that means leading multi-agent AI inside a dense domain with a decade of legacy behind it. I care about clean architecture, developer experience, and shipping work that holds up over time.

Experience

Software Architect at Entrata IndiaJul 2019 - present

Architect-leaning IC work across the property-management platform. Multi-agent AI systems, system design, domain-driven design, frontend modernisation, and a fair bit of mentoring.

AI and agent work

  • Built a multi-agent platform for property management on AWS Bedrock AgentCore, orchestrated with LangGraph, to help residents through lease renewals across chat, SMS, and voice.
  • Shipped a renewals sub-agent that answers questions on rent and charges, compares multiple offers, and lets residents accept their preferred one, plus a maintenance sub-agent that auto-generates work orders and escalates to property managers when needed.
  • Connected the agents to the legacy PHP backend and database through an MCP server, with guardrails and deterministic harnesses for Entrata's dense domain SOPs.
  • Owned SLA observability and drift detection with LangFuse and New Relic, and built an AWS Glue ETL pipeline that turns agent activity into client-facing effort-savings reports.
  • Ran the stack on GPT-4.5 via a LiteLLM proxy, with continuous prompt layering, prompt optimisation, and MCP tool optimisation.

Delivery and architecture

  • Led React adoption for key projects, cutting client-reported issues by 30%.
  • Built an Amplitude SDK for local feature-flag evaluation that cut API overhead by 90% (10 calls to 1), brought decision latency under a millisecond, and scaled across multiple teams. Shipped with 100% test coverage and zero breaking changes.
  • Contributed to organisational and open-source projects, including third-party adapters and performance optimisations.

Tooling and automation

  • Built custom monitoring with New Relic, Papertrail, and Slack, improving incident response times by 25%.
  • Automated charge-posting monitoring, saving 30 mins daily (~150 hours/year).
  • Created GitHub Actions for automated workflows, increasing code review efficiency by 40% across 5 teams.
  • Worked with Backslash and Cycode to bring static code analysis into our review process.
  • Raised code quality through better testing habits and tighter review practices.

Mentorship and learning

  • Mentored 5+ new team members, which helped lift team productivity by 25%.
  • Ran training on emerging technologies and became the go-to person for new tech questions.
  • Trained 25+ new joiners and multiple teams on AI prompting basics.

Debugging and reliability

  • Implemented feature flag management for controlled rollouts and A/B testing.
  • Used New Relic, CloudWatch, and XDebug to track down production issues and cut downtime.

Project and team leadership

  • Managed critical projects with 95% on-time delivery across cross-functional teams.
  • Kept quality high through active code reviews and clear design standards.
  • Led migration from legacy systems to a modern service-based architecture.
  • Led trigger remediation to retire complex DB functions and move them into scalable, testable, domain-shaped app-layer services without changing behaviour.
B.E. in Computer Science & Engineering at Pune University2015 - 2019

Where the obsession with shipping software that actually solves problems started.

Recognition

Person of the WeekNov 2025

Caught a CI/CD silent failure where 98% of tests were getting skipped, then led the org-wide move to Amplitude Local Evaluations.

Person of the WeekOct 2025

Fixed critical dependency injection issues that were blocking multiple teams from scaling.

Exceeding (4/4) Annual Performance Rating2022, 2024, 2025

Top rating three years running for consistent, high-impact delivery.

Employee of the QuarterQ3 2020

High-impact project delivery during a rough quarter.

Stack & skills

AI & AgentsMulti-Agent Orchestration, LangGraph, AWS Bedrock AgentCore, MCP, Prompt Engineering, Prompt Layering, Guardrails, Deterministic Harnesses, RAG, Chat / SMS / Voice Agents
LLM OpsLangFuse, LiteLLM, GPT-4.5, Tracing & Evaluation, Drift Detection, SLA Observability, Prompt Optimization, MCP Tool Optimization
BackendPHP, Node.js, Express, REST APIs, WebSockets, Rust, Microservices
FrontendReact, Next.js, TypeScript, Shadcn UI, Tailwind CSS, Material UI, Zustand, Legend State
DatabasesPostgreSQL, Drizzle, Prisma, Redis, MongoDB, PL/SQL, GraphQL
DevOpsDocker, CI/CD, AWS, GitHub Actions, NGINX
ArchitectureMicroservices, Serverless, Event-Driven, Domain-Driven Design, Message Queues, WebSockets, SOLID Principles, PWA, API Design
ToolsGit, VS Code, Postman, Swagger, Jira, Figma, NPM, CRON Jobs, Slack, Linux
TestingPHPUnit, Jest, React Testing Library, TDD, Shadow Testing
CloudS3, EC2, RDS, CloudFront, Route 53, AWS Glue, ETL Pipelines, Bedrock, Vercel, Shared Hosting
PerformanceLazy Loading, Caching Strategies, Image Optimization, Service Workers, PWA, Edge Computing, CDN, Database Optimization, APM
AnalyticsNew Relic, Papertrail, Amplitude, AWS CloudWatch, Google Analytics, A/B Testing, SEO

Elsewhere