I build software across AI, backend systems, and infrastructure.

Professional experience across backend platforms, applied machine learning, distributed workflows, and production reliability.

1. RUN-01RUNNING

   Sep 2025 — Present

   Software Developer

   Honeywell

   • ▸Migrated features from a legacy enterprise workflow platform to an ASP.NET Core, React, TypeScript, and SQL Server architecture.
   • ▸Built approximately 15 REST endpoints covering workflow records, status transitions, assignments, search, filtering, and audit operations.
   • ▸Enforced valid workflow state changes through explicit status-transition and validation rules, reducing invalid-state defects reaching QA.
   • ▸Split monolithic functionality into workflow, user, notification, and reporting service modules using Entity Framework Core and LINQ over SQL Server.
   • ▸Moved notifications, scheduled tasks, and reporting to background processing so they no longer blocked synchronous API requests.
   • ▸Tuned a read-heavy workflow task-list and audit-search query with indexes and filters for status, assignee, and date range, cutting response time from 3.8 seconds to 1.4 seconds.
   • ▸Raised automated coverage to approximately 60% with unit, integration, and API tests for valid flows, invalid transitions, missing fields, and error responses.

   • C#
   • .NET Core
   • ASP.NET Core
   • React
   • TypeScript
   • SQL Server
   • Entity Framework Core
   • LINQ
2. RUN-02COMPLETE

   Jun 2025 — Aug 2025

   Machine Learning Engineer

   IConsult

   • ▸Built a personalized clothing recommendation system using collaborative filtering and behavioral signals, achieving 78% Precision@10 with cold-start strategies for new users.
   • ▸Developed real-time recommendation APIs and persistent interaction models for a swipe-based marketplace experience, improving click-through rate by 24%.

   • Python
   • Collaborative filtering
   • Recommendation APIs
3. RUN-03COMPLETE

   Jan 2022 — Jul 2024

   Software Engineer

   Mindtree

   • ▸Built and maintained a metrics-monitoring platform that collected and visualized health data across approximately seven distributed services.
   • ▸Developed REST APIs exposing system metrics, application health, alert configurations, and historical monitoring data.
   • ▸Designed monitoring, alerting, configuration, and reporting service boundaries using microservice and Domain-Driven Design principles.
   • ▸Built React and TypeScript dashboards for real-time and historical metrics including availability, response times, error rates, and resource utilization.
   • ▸Wrote SQL Server data-access layers with Dapper and Entity Framework Core, tuning high-volume metric queries by service, environment, severity, and timestamp for aggregation and reporting.
   • ▸Implemented configurable threshold-based alerting that notified teams when application or infrastructure health degraded.
   • ▸Followed a Git-based SDLC with feature branches, pull requests, peer reviews, and continuous-integration checks.

   • C#
   • .NET Core
   • React
   • TypeScript
   • SQL Server
   • Dapper
   • Entity Framework Core
   • Microservices