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Full-Stack Software Engineer with CS MS

Location:
Hauppauge, NY, 11788
Salary:
70k
Posted:
January 28, 2026

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Resume:

Hardik Shahu

Hauppauge, NY 631-***-**** *************@*****.*** Linkedin.com/in/hardik-shahu-615544260 Github.com/hardik365 EDUCATION

Binghamton University, SUNY, Thomas J. Watson College of Engineering and Applied Science, NY May 2025 Master of Science in Computer Science

Relevant Courses: Advanced Object-Oriented Programming, Data Structures, Machine Learning, Computer Architecture Stony Brook University, SUNY, College of Engineering & Applied Sciences, NY May 2023 Bachelor of Engineering in Computer Engineering

Relevant Courses: Algorithms, Cloud Computing, Operating Systems SKILLS

Programming: C#, Python, Java, C/C++, SQL, JavaScript, Matlab AI Tools: ChatGPT, GitHub Copilot – used for rapid prototyping, debugging, and documentation support Certifications: Data Analyst by Purdue, Python by MITx, C# by Microsoft PROFESSIONAL EXPERIENCE

Koehler Instruments Inc. Bohemia, New York

Full Stack Software Developer July 2025 – September 2025

• Architecting and deploying front-end and back-end components of a Windows-based C# application for interfacing with JUMO microcontrollers via serial (RS-485) communication

• Designing and implementing an interactive dashboard using WPF, enabling users to monitor sensor readings, manage device settings, and visualize real-time data trends

Full Stack Software Developer Intern July 2024 – Jan 2025

• Developed an application, using C#, to generate activation codes for efficient management of the customer information database

• Ported an embedded system application for a new JUMO microcontroller, addressing hardware differences and ensuring stable performance through debugging and testing

• Programmed an application to streamline the engineering department's workflow by automating the bulk printing of multiple files in a folder

Magnum Engineers Remote & Bangalore, India

Software Developer Intern May 2023 – July 2023

• Developed MATLAB automation scripts to accelerate design and validation processes for advanced tribology instruments

• Applied mathematical techniques including Archimedean spirals, Lagrange interpolation, and Fast Fourier Transforms to enhance algorithmic accuracy and simulation performance PROJECT EXPERIENCE

Internal Software for JUMO Controller (proprietary project) Bohemia, New York Software Developer Software Component Lead January 2025 – September 2025

• Designing and engineering a full-stack Windows application using C#, .NET, and WPF to interface with the JUMO diraTRON microcontroller over RS-485 serial communication

• Implemented low-level register-based protocols for device configuration, control operations, and continuous temperature data acquisition

• Developed a responsive dashboard for real-time data visualization, integrated automated exports, and built internal logging tools to facilitate diagnostics and system performance analysis Finding the Best AI Machine Learning Model: Termination Project Vestal, New York Data Scientist, Python Developer Independent Project January 2025 – May 2025

• Designed and implemented a Python-based framework to evaluate and compare machine learning models for classification and regression tasks

• Conducted experiments with various algorithms—including Random Forest, Naive Bayes, Decision Tree, and Ridge Regression—assessing accuracy, training time, and computational efficiency

• Determined that Naive Bayes and Ridge Regression offered optimal performance in terms of predictive accuracy and execution speed

Virtual File System Vestal, New York

Lead Developer Group Project November 2024 – December 2024

• Directed a team to design and implement a custom virtual file system in C for the Linux command line, emulating essential file operations (create, delete, move, rename, etc.)

• Oversaw modular development, assigned responsibilities, and integrated team contributions; implemented the core driver logic and file creation functionality

• Delivered a successful live demonstration that highlighted the system’s capabilities, earning top marks from faculty reviewers



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