Shiva Shrestha

Shiva Shrestha
Academic Email: [email protected]
Personal Email: [email protected]

👋 Hi, I have recently completed my undergraduate at Tribhuvan University, Institute of Engineering (IOE), Pashchimanchal Campus where I earned a Bachelor's degree in Electronics, Communication and Information Engineering under the guidance of Asst. Prof. Smita Adhikari. During my time at university, I worked on various embedded systems projects, with a focus on automation and machine learning.

I'm also honored to have worked with CTO Er. Prashant Bhatta and Embedded System Engineer Er. Amrit Aryal at Yarsa Tech. At Yarsa Tech, I worked as an Electronics Engineer, where I designed embedded solutions, developed automated systems, and collaborated with a skilled team to optimize workflows.

I invite you to review my resume and feel free to contact me via email if you would like to discuss potential opportunities or collaborations.

Research Interests:
My research interests lie at the intersection of Electronics, Embedded System, Machine Learning, and IoT.

~ Resume | Github | LinkedIn | Mail ~

Bachelors in Electronics, Communication & Information Engineering
Tribhubhan University, IOE Pashchimanchal Campus
Nov 2019 – April 2024
82.32%
Top of the faculty

Positions of Responsiblity:

Event co-ordinator of Battle for speed, Taught PCB designing and C programming to freshers
Core Committee member(Design Transformer) of Robotics Club, WRC
Core Committee Member of लु निभा: पुच: नेवा बिद्यार्थी दबु (Cultural Club), WRC

Electronics Engineer
Yarsa Tech, Nepal
May 2024 - August 2024
[website]

CTO: Er. Prashant Bhatta

Engineered an ESP8266-based audio playback system, integrating SPI flash for efficient storage and a DAC for high-quality audio output.
Designed and developed an STM32-based storytelling toy, delivering an interactive and engagin
Built a cloud printing solution using Raspberry Pi, embedded Linux, CUPS, and MQTT, enabling seamless remote printing capabilities.
Automated barcode printing by scripting custom solutions, optimizing the printing workflow and reducing manual intervention.

Robotics Club
IOE, Pashchimanchal Campus
2021 - 2023

Core member(Design Transformer)

Designed and overviewed all graphics related tasks
Conducted training on PCB designing and embedded programming - C++
Worked on projects like micromouse, fpp drone, battelbot, robotic arm
Represented club in national level events like NIDN, Locus, Mechtrix
Event co-ordinator of Battle For Speed - Program designed to train freshers in the field of mechatronics and robotics.

Automated Waste Sorting with Delta Arm and YOLOv8 Detection.

Prateek Paudel*, Samman Shrestha*, Shiva Shrestha*, Sudarshan Gurung*, Smita Adhikari
IRO JORNAL [paper]

Published in the IRO Journal, this research integrates YOLOv8 and a delta arm mechanism for automated, precise waste sorting, improving efficiency in waste management systems.

*Authors contributed equally

Deep Learning for Waste Management: Leveraging YOLO for Accurate Waste Classification

Shiva Shrestha*, Samman Shrestha*, Prateek Paudel*, Sudarshan Gurung*, Sulav Gairee, Smita Adhikari
15th IOE Graduate Conference [paper]

This paper explores the use of deep learning for waste management, leveraging YOLO for efficient waste classification, and was presented at the 15th IOE Graduate Conference in 2024.

*Authors contributed equally

	DELTA ARM WASTE CLASSIFIER [code] Major Project Built a robotic delta arm integrated with a YOLOv8 model for waste identification and sorting into four categories: Biodegradable, Plastic, Paper, Metal Objective: Develop a deep learning-based waste classification system. Framework: YOLOv8 object detection. Importance: Enhances waste management through proper categorization. Categories: Bio-degradable, paper, plastic, metal. Performance: Precision: 0.94118, Recall: 0.96622, mAP@50: 0.98252
	Smart Access System [code] Minor Project Objective: Develop an RFID-based door access control system with smoke detection and automatic light control. Technology: Utilizes ESP-32 microcontroller, RFID for access, and Wi-Fi for phone integration. Features: Includes smoke detection for safety and an automatic light opener triggered by RFID. Benefits: Enhances security, safety, and energy efficiency through smart access and monitoring
	ROBOTIC ARM [code] 1^st in Project Demonstration, Mechtrix 2022 Purpose: Design a robotic arm for performing hazardous tasks, freeing human workers for other duties. Objectives: Build a versatile robotic arm for complex tasks and ensure ease of control for operators with limited experience. Materials Used: MG 966R Servo Motor, SG 90 Servo Motor, Arduino, Bluetooth Module, Camera Module. Capabilities: Mimic hand gestures, classify objects using AI, and perform pick-and-place tasks like industrial robots.
	High Altitude Weather Forecasting using LoRa and Machine Learning [code] Project Demonstration, LOCUS Project Goal: Develop a low-cost, real-time weather forecasting system for high-altitude regions using LoRa technology and XGBoost machine learning. LoRa Integration: Address expensive satellite communication limitations with LoRa for cost-effective, reliable data transmission in remote areas. XGBoost Implementation: Use XGBoost algorithm to predict weather patterns from sensor data, overcoming challenges of sparse and intermittent data typical in high-altitude regions.
	SAJILO AMBULANCE - with triage prediction [code] Gritfeat AI Hackathon: AI for health Uber-like app for ambulance services with triage prediction features and hospital recommendations Input : vital signs like bood pressure, oxygen level etc Predicted : Triage(SVM - 70.58% accuracy), dipositation(RF - 72.05% accuracy), and length of stay of patient in emergency ward(SVM - 86.76% accuracy)

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