Computer Engineer · M.S. George Mason University

I am Arya
I turn ideas into
intelligent systems.

Machine Learning · Generative AI · LLMs · Embedded Intelligence

From optimizing AI models to deploying scalable solutions across cloud and edge platforms, I transform complex ideas into practical, real-world technologies.

Open to work · F-1 OPT · Authorized to work in the U.S.
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Arya Rajesh Chandrawanshi Arya Rajesh Chandrawanshi portrait Arya Chandrawanshi working in the electronics lab
Fairfax, VirginiaF-1 OPT · Work Authorized
About me

Building at the intersection of AI & hardware

Hi, I'm Arya Rajesh Chandrawanshi, a Computer Engineer with a Master's degree in Computer Engineering from George Mason University. My interests lie at the intersection of Artificial Intelligence, Machine Learning, Generative AI, Embedded Systems, and Intelligent Computing.

I enjoy building end-to-end AI solutions — from training and optimizing machine learning models to deploying real-world applications using LLMs, RAG pipelines, cloud platforms, and edge devices. My work spans Generative AI, GPU Programming, Neuromorphic Computing, IoT, and Embedded AI systems.

I'm passionate about solving real-world problems through technology and continuously exploring emerging advancements in AI and intelligent systems.

Education

M.S. Computer Engineering

George Mason University · Fairfax, VA
Aug 2024 – May 2026 · GPA 3.7 / 4.0
Concentration: ML & Intelligent Computer Architecture · Coursework: GenAI & LLMs, Advanced GPU Programming, ML for Embedded Systems, Neuromorphic Computing

B.E. Electronics & Communication Engineering

Sant Gadge Baba Amravati University · India
2020 – 2024 · CGPA 9.0 / 10

Skills & technologies

Programming Languages

PythonC++CEmbedded CCUDASQLMATLAB

Frameworks & Libraries

PyTorchTensorFlowScikit-LearnLangChainHugging FaceOpenCV

AI · ML · GenAI · LLM

Generative AILLMsRAGTransformersCNNsDeep LearningPrompt EngineeringAgentic WorkflowsChromaDBLoRA · GaLoreQuantizationBayesian Opt.

IoT & Embedded Systems

ArduinoESP32Raspberry Pi 4Edge DeploymentONNXSensor IntegrationReal-Time Control

Cloud Computing

Microsoft AzureAzure OpenAIAzure AI SearchAzure FunctionsAzure StorageAI-900AZ-900

Tools & Development

GitGitHubDockerLinuxREST APIs

Projects & research

Click any card to see the full write-up — aim, methodology, results, and impact.

Experience

Jan 2026 – May 2026
Fairfax, VA · Hybrid
George Mason University · Prof. Maryam Parsa Lab

Graduate Researcher — Memory-Efficient LLM Training

Researched orthogonal GPU memory-reduction techniques for LLM training, benchmarking 8 technique combinations and applying Bayesian Optimization to reach >61% VRAM reduction validated on real WikiText-2 data.

Jan 2026 – May 2026
United States · On-site
Dept. of Mathematical Sciences, GMU

Graduate Instructional Aide

Built Python data-processing scripts and delivered instruction in algorithms and statistics, supporting 30+ students per semester with grading, assignment design, and academic feedback.

Aug 2025 – May 2026
United States · On-site
Dept. of Electrical & Computer Engineering, GMU

Teaching Assistant

Mentored students in Python, Azure GenAI, RAG pipelines, LLM engineering, and GPU-accelerated ML across embedded systems, signal processing, and machine learning courses.

Aug 2025 – Dec 2025
United States · On-site
George Mason University

Office & Program Assistant

Coordinated academic accommodation services and documentation workflows, improving operational efficiency while maintaining confidentiality and compliance standards.

Jun 2023 – Jul 2023
Ahmedabad, India · On-site
Regional Reference Standard Lab · Government of India

Electronics Intern

Applied Python and systematic testing in a government-certified standards lab — sensor interfacing, microcontroller data acquisition, and calibration workflows alongside senior engineers.

Let's build
something great

I'm actively looking for full-time roles in AI/ML engineering, embedded systems, or edge computing. F-1 OPT — available immediately.