Engineering Intern Software

YASH DANIEL INGLE

Irvine, CA +1-949-***-**** ******@***.*** LinkedIn

EDUCATION

University of California, Irvine, Irvine CA December 2025 Master of Embedded and Cyber-physical Systems GPA: 4.0 MGM`s Jawaharlal Nehru Engineering College, Aurangabad, India July 2024 B. Tech in Computer Science and Engineering with AI honors CGPA: 9.16/10 Suresh Gyan Vihar University, Jaipur, India September 2023 Bachelor of Business Administration (BBA) CGPA: 8.1/10 SKILLS

Programming: C C++ Python JavaScript Bash C# Java Web Development: HTML CSS Spring Flask Django Node JS Angular JS ReactJS Agile Development: Agile Principles DevOps Git Docker Jenkins Cloud Computing Database Management: SQL MongoDB Firebase PostgreSQL Operating Systems: Linux Windows

Embedded Systems: SystemC Embedded C Real-Time Systems System Architecture PCB Design EXPERIENCE

Co-Founder, Blood Bag Delivery System (Transfusiotrack) June 2023 – Present

• Designed the complete system architecture and led the design and development of the Blood Bag Delivery System, overseeing architecture creation and solution implementation using Flask and MongoDB.

• Coordinated with hospitals and blood banks for operational planning, ensuring seamless logistics and deployment across two cities.

• Used Figma for UI/UX design of the system’s dashboard, ensuring a seamless user experience for stakeholders and healthcare professionals, while maintaining usability and functionality. System Engineer Intern at Atlas Copco India Jan 2024 – June 2024

• Worked with AI, DevOps, and UI/UX teams to develop an efficient inventory management system, improving productivity by 30%.

• Configured RFID sensors, wireless protocols (OPC, Modbus, Ethernet), and Kepware for real-time data exchange and optimize system performance.

• Coordinated PLC tag deployment, ensuring signal integrity, power optimization, and seamless hardware-software integration. ApTSi Intern at Massachusetts United States Jan 2023 – Jan 2024

• Developed and validated the front end of the Adaptive Access Control & Data Protection Tool using AngularJS.

• Designed UI mockups and wireframes for the platform’s security features using Figma, enabling the team to iterate rapidly on designs.

• Worked on asset management and protection, implementing Zero Trust principles to secure client assets. ACADEMIC PROJECTS

Real time Canny Edge Detection Sept 2024 – Dec 2024

• C/C++ Implementation: Built a robust Canny Edge Detector with Gaussian smoothing, gradient calculations, and hysteresis. Used agile methodology to incrementally refine from a basic C prototype to a static-allocated, multi-platform C++ solution (Linux, Raspberry Pi).

• SystemC Pipelining: Evolved the design into a fully pipelined SystemC model by iterative agile steps, parallelizing BlurX/BlurY via sc_fifo-based threads. Balanced pipeline stages and back-annotated timings from Raspberry Pi to significantly boost FPS.

• Drone Footage & Validation: Processed 2704 1520 frames of UCI Engineering Tower drone footage, achieving near real-time edge detection. Verified accuracy with reference data and unit tests. Light Swarm-IoT-System Sept 2024 – Dec 2024

• Designed a scalable network of 5 ESP8266 nodes and a Raspberry Pi, employing Multicast UDP for inter-device communication and dynamic master device election. Integrated an 8x8 MAX7219 LED Matrix (SPI) and Node-RED dashboards for real-time light intensity visualization, logging of master transitions and sensor data.in JSON.

• Led a 2-member team in sensor data collection C++ (Arduino), processing in Python, optimizing GPIO resets and synchronization. AI-Powered Music Streaming App Jan 2023 – May 2023

• Led a team of three to develop a feature-rich Android music streaming app with an AI-powered recommendation system using Python, Flask, and Firebase, incorporating real-time updates and advanced playlist management for seamless user experiences.

• Utilized Agile methodologies and implemented a V-shaped delivery model, ensuring thorough testing and validation at every stage.

• Enhanced recommendation accuracy by applying Content-Based Filtering and KNN, leveraging a Cosine Similarity Matrix. COURSE WORK

• Computer Science: Data Structures and Algorithms Operating Systems Distributed Storage Web Services Artificial Intelligence and Machine Learning Computer Networks Computer Architecture & Peripherals

• Embedded Systems: Embedded Systems Modelling IOT and software Wireless Sensor Networks Cyber-Physical system Design

• Business Administration: Principles of Management Business Analytics Project Management Financial Accounting Entrepreneurship

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