Computer Engineering Azure Data

Rashika Maheshwari

603-***-**** ************@*****.*** linkedin.com/in/rashika-maheshwari-152790246/ EDUCATION

University of Texas, Dallas Richardson, TX

Bachelor of Science in Computer Engineering May 2027

● Relevant Coursework: Intro to Electrical and Computer Engineering, Intro to Digital Systems, Calculus (Differential, Integral, Multivariable), Physics (Mechanics and Electromagnetism), Discrete Math, Linear Algebra, Probability Theory and Statistics, Computer Science I & II, Data Structures SKILLS & CERTIFICATIONS

● Databases: SQL Server, Azure Data factory, Data Lakes, Storage Account, Synapse Analytics, Apache Spark, Cosmos DB

● AI: ChatGPT, OpenAI, Copilot

● Web Technologies & DevOps: JavaScript, HTML/CSS, React Native, CI/CD piplines, Figma, Canva

● Programing Languages: Java, C++, Python, OOPS

● Office/VSS Tools: Microsoft Word, Microsoft Office, Excel, PowerPoint, Outlook, GitHub

● Hardware: TinkerCad, Arduino, PSpice, Verilog, Matlab

● Certifications: DP 900 – Microsoft Azure Data Fundamental Certified, OSHA certified WORK EXPERIENCE

Undergraduate Research University of Texas, Dallas Richardson, TX SmartScope: AI Object Defect Detection Model August 2024-Present

● Developed and deployed a TinyML based defect detection system for electronic components under the guidance of Dr. Tooraj Nikoubin, using Edge Impulse and an ESP32 microcontroller, achieving 80.8% model training accuracy and 75% live classification accuracy.

● Enhanced quality control by automating visual inspection of components like resistors, LEDs, and capacitors through a custom neural network model trained on ~1,000 preprocessed images (grayscale, normalized), reducing reliance on manual inspection. NOVA University of Texas, Dallas Richardson, TX

Vehicle Engineer August 2024-January 2025

● Enhanced autonomous navigation accuracy by 30% through the integration of advanced LIDAR and radar technologies, enabling improved environmental perception and object detection in diverse driving conditions.

● Increased obstacle identification accuracy by 45% by implementing sensor fusion algorithms and data processing techniques, combining multi-sensor data to optimize decision-making for real-time navigation. Microsoft Student Ambassador University of Texas, Dallas Richardson, TX Student Advocate for Technology August 2024-December 2024

● Facilitated the use of Microsoft tools such as OneNote, Reflect, and Forms to enhance student feedback systems at the university's health center as part of the 'Show Off Skills (SOS)' project, Optimizing Microsoft in Classrooms.

● Mentored peers and collaborated with industry professionals and fellow ambassadors to share expertise on Microsoft tools, creating innovative solutions while enhancing both technical and leadership skills. CRTC-Concord Regional Technical Center Concord, NH Technologist Student August 2021-July 2023

● Coordinated hardware and software solutions for diverse systems, including VEX robotics, cyber-security measures, industrial CNC machines, and computer applications (Web and mobile apps).

● Participated in dynamic, project-based learning, developing practical skills through Arduino projects and 3D printing technology, creating and testing 3D printed objects with an 85% success rate in functionality and durability. PROJECTS

Disaster Alert - HackUTD 2024

● Developed a React-based web application integrated with APIs and OpenAI, delivering real-time disaster alerts and optimizing evacuation routes, while ensuring accessibility through a hardware prototype with Arduino and Tinkercad incorporating LED indicators and sound notifications.

● Collaborated on hardware and software integration, overcoming challenges in API communication and real-time data processing to create a functional, lifesaving disaster response system for diverse user needs. Plant Monitoring System

● Developed an innovative Arduino-based environmental monitoring system, integrating temperature and light intensity sensors

(thermistor and photoresistor) with an LCD screen for real-time data visualization.

● Pioneered a unique project for indoor plant cultivation, providing vital environmental insights to optimize plant growth through accurate monitoring of temperature and light conditions.

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