Sudhakar J

Leading product engineering and delivery across the RMM/MSP platform, owning technical architecture, product workflows, and execution from concept to production.

Bootstrapped

Desk, an internal ticketing platform, from the ground up, owning the product architecture, core workflows, backend services, and frontend implementation using Next.js and Go. Built a separate internal service-account and billing platform to support trial provisioning and marketing workflows, integrating Stripe end-to-end across the account and billing lifecycle.

Lead Software Engineer – Product & Delivery at Truvanta (2026-04 – Present)

• Leading product engineering and delivery across the RMM/MSP platform, owning technical architecture, product workflows, and execution from concept to production.
• Bootstrapped Desk, an internal ticketing platform, from the ground up, owning the product architecture, core workflows, backend services, and frontend implementation using Next.js and Go.
• Built a separate internal service-account and billing platform to support trial provisioning and marketing workflows, integrating Stripe end-to-end across the account and billing lifecycle.
• Designed shared application architectures and engineering workflows, establishing scalable patterns and standards used across product initiatives.
• Partnered with product and business stakeholders to translate requirements into technical designs, prioritize engineering work, and drive initiatives through delivery.

Senior Frontend Engineer at Truvanta (2025-05 – 2026-04)

• Architected and built the company's shared React/Next.js UI library and frontend architecture, establishing reusable components, patterns, and infrastructure adopted across products.
• Led frontend development for the RMM/MSP platform, building scalable interfaces and workflows for infrastructure monitoring and management.
• Led development of the Agentic UI system, delivering a cross-platform desktop application integrated with the company's web platform.
• Built real-time infrastructure monitoring dashboards using React, Next.js, and D3.js, enabling visualization and analysis of system performance metrics across the RMM platform.

Frontend Developer at ConcertIDC (2023-10 – 2025-05)

• Developed a healthcare provider dashboard for CardioOne using Next.js and React, enabling real-time monitoring of patient vitals, remote care management, and clinical care planning.
• Led frontend development for BOC (Bank of Commerce), building scalable React components and improving user experience across core banking workflows.
• Architected and built a reusable React design system adopted across depository and loan-related banking interfaces.
• Developed the "Story Feature" for Budgab using React Native, introducing social functionality designed to improve user engagement.
• Created and led the Full Stack team responsible for an internal HRMS platform using Next.js, TypeScript, Clerk, and Supabase Postgres, covering projects, employees, shifts, timesheets, and related workflows.
• Developed and maintained custom React UI libraries and shared frontend infrastructure to accelerate delivery and improve consistency across client projects.

Full-time Employee at Friday Tech Labs (2022-07 – 2023-09)

• Led UI design and frontend development for client projects, establishing scalable and reusable component architectures using React and TypeScript.
• Optimized frontend performance and introduced engineering best practices to improve application speed, maintainability, and user experience.

React Consultant at Friday Tech Labs (2021-04 – 2022-07)

• Consulted on frontend architecture and development for React-based applications, working directly with clients to design and deliver scalable solutions.
• Mentored junior developers and helped establish frontend engineering standards and best practices.

SDE Intern at SPI Edge (2020-05 – 2020-11)

• Developed SPI's Diner dashboard using React, improving UI consistency and overall user experience.
• Represented the organization as a judge for HAC (Hack Against Covid), evaluating technology solutions addressing COVID-19 challenges.
• Participated in sprint discussions focused on solving real-world technical and business problems for SPI clients.

Machine Learning Intern at Verzeo (2019-05 – 2019-08)

• Built machine learning models using Python and Scikit-Learn to predict housing prices from historical datasets.
• Developed a Naive Bayes spam detection model achieving 99.46% accuracy and presented the results to senior stakeholders.

B.Tech in Information Technology – SSN College of Engineering (2017 – 2021)

HSC – Sunbeam HSS (2017 – 2017)

SSLC – Sunbeam HSS (2015 – 2015)