Chitvan
Patel

I build |

Building portable MRI technology at neuro42. Firmware, APIs, image processing, cloud infrastructure. Also building and improving agentic AI workflows. Based in San Francisco.

3+ Years Experience
6+ Projects Shipped
16+ Years of Tennis

Engineer at neuro42, working at the intersection of hardware and software.

Chitvan Patel at Golden Gate Bridge, San Francisco

I am currently an Embedded Software Engineer at neuro42, where I help build software for portable MRI devices. Previously, I was at Tarana Wireless and did LLM research at Santa Clara University. I did my undergrad in Electrical Engineering in Gujarat, India, then got my Master's in ECE from Santa Clara University.

Outside of work, I'm building agentic AI workflows, playing tennis (16+ years and counting), and gaming way too much Counter-Strike, PUBG, and Sims.

Here are some technologies I have been working with:

Python C/C++ Embedded Systems Medical Devices AI/ML Agentic AI

Embedded Software Engineer

neuro42, Inc.

Feb 2024 - Present
  • Design and implement software for neuro42's portable MRI devices, from requirements to production and commercial deployment
  • Developed and implemented test protocols for MRI subsystems (RF, GPA, SDR, PLC), improving consistency, test coverage, and repeatability
  • Collaborated with hardware engineers to investigate PCBA failures, implement corrective actions, and strengthen design testability
  • Automated firmware/software deployment and validation pipelines using CI/CD tools like Jenkins and Git
  • Authored weekly metrics decks with visualizations and concise narratives; facilitated cross-functional readouts and decision tracking
  • Analyze and enhance the efficiency, stability, and scalability of system resources for optimal MRI performance
  • Design, develop, test, and debug system software, supporting QA and optimizing I/O performance for rapid MRI data processing
  • Interface with hardware design teams to integrate embedded software seamlessly with advanced imaging hardware
  • Develop infrastructure for secure transmission of sensitive clinical data to the cloud, ensuring HIPAA compliance
  • Support engineering teams by developing automation and test tools, enhancing the development life-cycle and system reliability
PythonC/C++JenkinsREST APIHIPAA

Hardware Integration Test Engineer

Tarana Wireless, Inc.

Nov 2023 - Feb 2024
  • Test scripts for automation and data analysis to diagnose failed RMA units
  • Hardware bring-up of PCBs, RF boards, FPGAs, and system modules
  • ATE test program solutions for hardware modules and PCBA
PythonFPGAsPCBATE

Research Assistant, LLM

Santa Clara University

Sep 2023 - Nov 2024
  • Lead the research and development phases of a cutting-edge chatbot project designed to serve as a teaching assistant for students
  • Ingested a diverse range of educational resources into Elastic Search, optimized vector embeddings, and implemented Retrieval Augmented Generation (RAG) technology to enhance the chatbot's knowledge base
  • Ensured seamless integration with Elastic Search for efficient content retrieval
PythonRAGElastic SearchNLP

Design Validation & Test Intern

Tag-N-Trac

Jun 2022 - Dec 2022
  • Python scripts to post-process DVT data of 12,000 temperature loggers (7% revenue increase)
  • Serial communication scripts for 24-hour continuous data logging
  • Interactive Tableau dashboards for trend analysis
PythonTableauSerial

Languages

PythonC/C++C#VerilogJavaScriptBash

Tools & Platforms

GitJenkinsDockerKubernetesAWSGCPLinuxJira

Frameworks

ReactREST APIs.NETElastic SearchCI/CD

Protocols

I2CSPIUARTUSBRS485RS232ADC/DAC

Domains

Embedded SystemsMedical DevicesRTOSHIPAAISO 13485IEC 62304

AI / ML

Deep LearningNLPComputer VisionRAGLLMsAgentic WorkflowsPrompt Engineering
Coming Soon

Building Portable MRI: Where Software Meets Physics

The challenges of writing software for medical imaging devices, from real-time constraints to regulatory compliance.

Coming Soon

RAG Systems in Production: Lessons Learned

Building a RAG chatbot from scratch, vector embedding optimization, and real-world retrieval challenges.

Coming Soon

Agentic Workflows: Making LLMs Actually Reliable

Why putting LLMs in charge of everything fails, and how a 3-layer architecture with deterministic execution fixes it.

Open to opportunities

Looking for my next role in embedded systems, medical devices, or forward deployed engineering. Let's connect.