Anuj Gajjar
Anuj Gajjar
Anuj Gajjar
Anuj Gajjar
Hello! I'm Anuj, I'm an embedded software engineer at MITRE with experience in C++ and Python. Below is some of my work.

Hello! I'm Anuj, I'm an embedded software engineer at MITRE with experience in C++ and Python. Below is some of my work.

Professional:

NTS-3 User Equipment

NTS-3 User Equipment

At MITRE I designed and delivered a configurable, multi-platform, multi-threaded GNSS/GPS receiver in C++ for Linux, supporting 200+ NTS-3 satellite experiments, while also developing tools and components to advance GPS technologies such as cryptographic methods, signal modulations, and data encodings

View NTS-3 Program Brief

Publications & Proceedings:

Assessing tissue interrogation volume of an implantable optical sensor using TracePro ray tracing software (Campeau et al.)

Assessing tissue interrogation volume of an implantable optical sensor using TracePro ray tracing software (Campeau et al.)

Developed Python tools for creating Monte-Carlo based optical modeling with a commercial ray-tracing software (TracePro) to predict light propagation, sensitivity, and optical interrogation volume (photon hitting density) of a miniature tissue-implantable optical sensor system.

View Proceeding
Method for measurement of collagen monomer orientation in fluorescence microscopy (Alzola et al.)

Method for measurement of collagen monomer orientation in fluorescence microscopy (Alzola et al.)

Collagen is the most abundant protein in vertebrates plays a key role in load-bearing tissues, but its fibril formation and remodeling mechanisms remain unclear. This study investigated two methods to visualize collagen monomers and determine their spatial orientation using fluorescence microscopy, despite challenges due to collagen's small size and low contrast. The two proposed methods: a modified Gabor filter set and a CNN-based classifier trained on synthetic data. Both methods can localize and estimate monomer orientation with an average error of ~37°. These results offer insights into collagen monomer interactions during fibril formation and remodeling.

Note: shortened version of abstract

View Publication

Projects:

DiscTracker

DiscTracker

I developed an embedded device that enhances the disc golf experience by providing players with real-time gameplay metrics. This involved designing and fabricating the device’s electronics and PCB, developing embedded software using FreeRTOS, and building functional prototypes with custom enclosures for user testing. Additionally, I created a companion iOS application in Swift that connects via Bluetooth to visualize and collect gameplay data in real time.

View Software View Schematic
MODE Radar

MODE Radar

Designed and implemented a high-resolution radar system capable of mapping disaster environments with sub-10mm accuracy. Developed a custom PCB and RF phased array antenna for millimeter-wave radar, along with embedded control software using C and TI-RTOS. Additionally, created multi-process Python software for external system control, communication, and real-time data processing.

View Project Report
DeepCharge

DeepCharge

The goal of this project was to develop an enhanced prototype of a wireless charging platform for drones and UAVs. A client approached Generate Product Development, a student-run product development club, with the need for a portable charging solution that could be used in environments where wall power is unavailable, such as during fire rescue operations. Our team was tasked with designing a foldable enclosure for easy transport, integrating a battery system to power the platform, and developing custom PCBs for battery and power management. My role focused on designing and implementing the battery and power management PCBs that support the wireless charging system.

View Project Report
ShowNXT

ShowNXT

The goal of this project was to develop a mobile application designed to streamline the college athletics recruitment process by connecting coaches with prospective athletes. A client approached Generate Product Development seeking the creation of a minimum viable product (MVP). Our team built key features including in-app messaging, an improved user flow, and a simplified registration process. We also implemented functionality for users to edit and view profiles, statistics, images, and videos. The app was developed using React Native, Node.js, and GraphQL.

View Demo

Contact

857-225-4456
anujygajjar1@gmail.com
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