I’m Mann Nada, a Software Engineering graduate-level student focused on Data Science and building production-ready, testable systems. I enjoy turning complex requirements into reliable automation frameworks and data pipelines, whether that’s validating hardware test results, improving ML workflows, or deploying AI-powered applications. In my recent internships, I worked on large-scale automation and backend services—designing distributed architectures, building CI/CD-friendly test frameworks, and cutting regression time dramatically. I also build end-to-end projects using Python and modern AI tooling (LLMs, RAG, embeddings), and I like partnering with engineers to ship practical solutions that scale across teams and geographies.

Mann Nada

I’m Mann Nada, a Software Engineering graduate-level student focused on Data Science and building production-ready, testable systems. I enjoy turning complex requirements into reliable automation frameworks and data pipelines, whether that’s validating hardware test results, improving ML workflows, or deploying AI-powered applications. In my recent internships, I worked on large-scale automation and backend services—designing distributed architectures, building CI/CD-friendly test frameworks, and cutting regression time dramatically. I also build end-to-end projects using Python and modern AI tooling (LLMs, RAG, embeddings), and I like partnering with engineers to ship practical solutions that scale across teams and geographies.

Available to hire

I’m Mann Nada, a Software Engineering graduate-level student focused on Data Science and building production-ready, testable systems. I enjoy turning complex requirements into reliable automation frameworks and data pipelines, whether that’s validating hardware test results, improving ML workflows, or deploying AI-powered applications.

In my recent internships, I worked on large-scale automation and backend services—designing distributed architectures, building CI/CD-friendly test frameworks, and cutting regression time dramatically. I also build end-to-end projects using Python and modern AI tooling (LLMs, RAG, embeddings), and I like partnering with engineers to ship practical solutions that scale across teams and geographies.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate

Language

Work Experience

Software Engineering Intern at ChargePoint
June 1, 2026 - August 31, 2026
Engineered an OCA 2.0.1 compliance test automation framework using Python, pytest, and REST APIs within CI/CD, executing 441 test cases to support ChargePoint certification across 14+ countries and 100,000+ charging ports. Designed a three-layer distributed full-stack architecture to automate physical EV charging actions, enabling 300+ physical-action test cases across ChargePoint DC charger hardware models. Delivered production-grade backend services adopted by 10+ engineers daily, reducing firmware regression from 40 hours to 30 minutes (about 80x faster) and saving 1,040+ engineering hours annually.
Software Engineering Intern at UL Solutions
May 1, 2025 - August 31, 2025
Designed and implemented custom full-stack test automation frameworks using Python and Shell scripting to auto-configure 85% of test parameters, reducing manual setup time by 70% while ensuring CI/CD compatibility. Built Pandas and NumPy-based statistical analysis pipelines to validate sensor integrity and detect anomalies in large-scale hardware test datasets, improving validation accuracy by 25%. Investigated signal anomalies by developing scalable Python data visualizations and REST API integration workflows to accelerate debugging, reducing recurring failures and cutting testing delays.
Software Engineer at Blackwolve Technologies
January 1, 2023 - July 31, 2024
Developed and trained TensorFlow and PyTorch deep learning models achieving 95% accuracy, optimizing via scalable backend pipelines and hyperparameter tuning to reduce training time by 20%. Built end-to-end Python pipelines for regression and classification with a 15% accuracy gain, and designed relational and NoSQL data workflows handling 1M+ records with optimized data structures.

Education

Master of Science in Software Engineering (Specialization: Data Science) at San Jose State University
August 1, 2024 - May 1, 2026
Bachelor of Engineering in Computer Science Engineering at Charotar University of Science and Technology
October 1, 2020 - May 1, 2024

Qualifications

EES scholarship for academic excellence and innovation in engineering projects
January 1, 2024 - September 1, 2026

Industry Experience

Education, Software & Internet, Computers & Electronics