Headline

Full-Stack Engineer | Angular | .NET Core | MongoDB | REST APIs | Enterprise Applications

About

Full-Stack Engineer with 2 years of experience building enterprise-grade web applications using Angular, .NET Core (C#), and MongoDB. At Acumant, I work on a large-scale Computerized Maintenance Management System (CMMS) used across 12+ manufacturing plants. My work involves designing and developing scalable features, optimizing application performance, improving UI/UX, implementing REST APIs, integrating SAP services, and collaborating directly with client stakeholders to deliver production-ready solutions. I enjoy solving complex engineering problems across the full stack - from designing MongoDB data models and backend APIs to building responsive Angular applications with real-time functionality, server-side pagination, dynamic filtering, and multilingual support across 13 languages. Outside of my professional work, I enjoy building complete SaaS products from scratch. My projects include a Gym Management System featuring role-based dashboards, JWT authentication, QR-based attendance, revenue analytics, automated email workflows using Resend, and deployment on a custom domain, as well as a multilingual portfolio CMS with dynamic content management and localization support. Core Technologies: Angular • TypeScript • C# • .NET Core • MongoDB • PostgreSQL • REST APIs • SignalR • SAP Integration • Azure DevOps • Git

Location

Bengaluru

AI stack

antigravity

codex

cursor

github copilot

Work experience

Full Stack Engineer at Acumant, Sep 2024 - Present · 2 yrs 1 mo, Bengaluru, Working on enterprise-scale manufacturing applications using Angular, .NET Core (C#), and MongoDB, with a primary focus on the Computerized Maintenance Management System (CMMS) used across 12+ manufacturing plants. Key Contributions • Designed and developed features for the CMMS Planner and Executor modules supporting 50K+ work orders across multiple manufacturing plants. • Collaborated directly with client stakeholders to understand requirements, propose improvements, and deliver scalable solutions focused on performance, usability, and user experience. • Engineered a dynamic filtering architecture using MongoDB Aggregation Pipelines, server-side pagination, and AG Grid for efficient large-scale data retrieval. • Developed 80+ production-grade REST APIs supporting planning workflows, approvals, scheduling, work-order conversion, and SAP validation. • Optimized MongoDB queries, Angular rendering, lazy loading, calendar workflows, and API performance, reducing page load times from 5–6 seconds to under 1 second. • Implemented multilingual support across 13 languages using automated translation workflows. • Built an Alerts & Monitoring Platform featuring SignalR-powered real-time dashboards, automated email and in-app notifications, and a recursive MongoDB data explorer supporting 10–15+ nested document levels. • Designed scalable technical solutions, continuously improved application performance and UI/UX, and supported Azure DevOps deployments, production releases, and post-release issue resolution.

Machine Learning Intern at Feynn Labs, Nov 2022 - Jan 2023 · 3 mos

Education

Bachelor of Engineering, Computational Science, Vemana Institute of Technology - Koramangala, Bengaluru

PUC, PCMB, Alva's College, Moodabidri, Karnataka