Software Programmer (Neumann Team) Fall 2025 InternAt — M S International Inc.

As part of your Curricular Practical Training (CPT), this internship will focus on advanced research and development projects that build upon prior work in serverless email generation, integrating modern frameworks for natural language–driven reporting, scalable compute infrastructure, and secure network authentication. These projects are designed to strengthen your understanding of modern software engineering practices, infrastructure automation, and secure communications, while contributing to MSI’s ongoing initiatives.

Tasks:

Project 1: Natural Language-Driven Reporting with Modular Max and Automated Email Delivery
This project aims to enhance the email generation system by introducing automated reporting based on natural language prompts. The system will leverage the Max framework from Modular to orchestrate workloads across heterogeneous GPU backends - CUDA or OpenCL for efficient processing of dynamic prompts.

Project 2: Certificate Generation and Profile Provisioning for Secure Wi-Fi Authentication
This project focuses on developing a user-facing application to automate the generation and provision of client certificates used in Wi-Fi authentication via the EAP-TLS protocol.

Training:

The student will be learning how to use multiple python libraries together in the real world, and how such libraries can be scaled. The student will be using creating and deploying a Model Context Protocol (MCP) server for augmenting his previous internship project of email delivery reports. Also, he will be continuing to work on the client for automatically issuing client certificates through interfacing with Active Directory Certificate Services (ADCS).
Separately, this will include an orientation about the company and how our team and his projects fit in the overall plan. Mentorship will be provided by three members of the Neumann ITHW Operations Team, Myself, Preet Desai, Software Engineer, and Jeet Thakkar, Systems Engineer. This will be augmented with weekly meetings and open door discussions.

Learning Outcome

These projects provide practical experience in AI-driven automation, GPU-enabled infrastructure, database-backed reporting, and cloud-native email pipelines, while also deepening skills in secure communications, PKI-based certificate management, and system-level configuration for network authentication. Together, they reinforce core competencies in modern software development, infrastructure engineering, and cybersecurity practices