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Sulav Gaire
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 |  Education  |  Experience  |  Projects  |  Certifications  |  Contact  | 

👋 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. Badri Raj Lamichhhane.

I'm also honored to have worked with Er. Jiten Thapa and Er. Rishav Mani Sharma at Orion Space Nepal as an Electronics Design Intern. During this internship, I had the opportunity to research LoRa-based sensor networks in the UHF band and design and develop educational satellites, also known as CubeSats. This experience enriched my knowledge in satellite communication, low-power wide-area networks (LoRa), IoT solutions, and PCB design. Additionally, I worked as a Software Development Intern at Codse, where I explored web development by working on real-world, production-grade applications using cutting-edge frameworks such as Next.js and React.js. 👨‍💻

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, Machine Learning, and IoT.

 ~  Resume  |  Github  |  LinkedIn  |  Mail  ~ 

Bachelors in Electronics, Communication & Information Engineering
Tribhubhan University, IOE Pashchimanchal Campus
Nov 2019 – April 2024

Positions of Responsiblity:

  • Event co-ordinator of Robo-rookies, Taught PCB designing and C programming to freshers
  • Senior member of robotics club wrc
  • Winner of WRC Explorator-V, WRC art competition, and Intersamaj presentation competition
Research Internship Electronics Design Intern
ORION Space, Nepal
Aerospace Company
February 2022 - August 2022
[website]

Advisor: Er. Jiten Thapa and Er. Rishav Mani Sharma

  • Conducted in-house research on LoRa-based sensor networks in the UHF band.
  • Achieved a range test result of up to 10 km in line of sight and up to 5 km in partial line of sight using the RA-02 module and a 5V LiPo battery under clear weather conditions.
  • Contributed to the design and development of educational satellites, such as CanSat and CUBEEK, which are sold and used for training space enthusiasts globally.
  • Developed a web application for real-time LoRa data monitoring.
  • Worked on real-world IoT solutions projects like "Jal."
Software Engineering Internship
Codse Pokhara, Nepal
Jan 2024 - Feb 2024
[website]

Team: Web Application Development

  • Developed user-facing features using Next.js and JavaScript.
  • Secured multi-user web application with TypeScript, JWT, & REST API authentication.
  • Participated in code reviews and used Git for version control.
  • Enhanced UX with React Query and multi-step form.
Robotics Club
IOE, Pashchimanchal Campus
2022 - 2023

Senior member

  • 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 robo-rookies - Program designed to train freshers in the field of mechatronics and robotics.
Electronic voting system using two factor biometric authentication-A case study in Nepal

[code] [report]

Major Project
Supervisor: Badri Raj Lamichhhane

  • Current System: Ballot paper-based voting in Nepal; insecure and time-consuming.
  • Proposed Solution: Web-based two-factor biometric authentication.
  • Biometric IDs: Fingerprint for voter info, face verification to cast vote.
  • Voter Registration: Records and stores fingerprint and face data using salted SHA256 hashing.
  • Evaluation: Tested with 50 participants; satisfaction surveys showed positive feedback.
  • Findings: Applications were intuitive, interactive, and improved voting security and integrity.

High Altitude Weather Forecasting using LoRa and Machine Learning

[code] [report]

Minor Project
Supervisor: Laxmi Prasad Bastola

  • 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.

Deep Learning for Waste Management: Leveraging YOLO for Accurate Waste Classification- Delta Arm

[code] [paper]

1st/50 Project Expo | NebiFest 2024 winning 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

CUBEEK - CubeSat

[website][video] [code]

Orion Space Nepal

  • Worked on design, development & testing aspects of Cubeek making it finest Cubesat Educational Kit
  • 1U Cubesat kit, ≤ 2 kg/unit for students & includes EPS, OBC, COM, Payload
  • EPS: Solar voltage booster, battery charger, current/voltage monitor.
  • OBC: Arduino Pro Mini, built-in programmer, RTC.
  • COM: LoRa-based communication.
  • Payload: Basic sensors (accelerometer, gyroscope, temperature, pressure, GPS)
EDUCAN - EDUCATIONAL CANSAT

[video] [code] [my contribution]

Orion Space Nepal

  • Created the dashbord to view real time data received from the EDUCAN using Node.js.
  • Redesigned receiver side pcb making it more EDUCAN specific cutting down production cost per unit.
  • It help high school students start building satellites and learn basic satellite construction

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)
Software Testing - TECHNERGY Hackathon

[code] [certificate]

2nd Runner-up out of 20+ teams National-level hackathon

  • Event: National-level hackathon TECHNERGY organized by Hitachi Energy & Locus 2024
  • Skills Learned:
    • Technical: Manual & automated testing, CI/CD pipeline
    • Soft: Networking, presentation, documentation

Machine Learning - Specialization DeepLearning.AI & Stanford University
  • Supervised Machine Learning: Regression and Classification
  • Advanced Learning Algorithms
  • Unsupervised Learning, Recommenders, Reinforcement Learning
    		•
    MATLAB Onramp MathWorks
    GIS Data Acquisition and Map Design University of Toronto
    Front End Development Libraries freecodecamp
    Front-End Web UI Frameworks and Tools: Bootstrap 4 The Hong Kong University of Science and Technology

             

    Template: Thanks to all these people.