CV

Basics

Name Swodesh Sharma
Label Electrical Engineer
Email xarmaswodesh@gmail.com
Phone 977-9869864464
Url https://github.com/swodesh-2001
Summary An aspiring electrical engineer with interests in power systems, renewable energy, and machine learning applications in power systems.

Publications

Work

  • 2024.11 - Present
    Associate Electrical Engineer
    K&A Engineering Consulting
    Electrical Design and Estimation of Distribution system of California, USA
  • 2024.05 - 2024.07
    Machine Learning Trainee
    EKbana Solutions Pvt. Ltd.
    Replicating research papers in PyTorch and working on vision transformer models for solar energy generation estimation.
    • Developed and implemented algorithms such as image stitching, lane detection, image transformation, 3D transformations, and color space manipulation using C++.
    • Replicated research papers using PyTorch, including UNET.
    • Assisted in research focused on using multiple AI agents to improve large language models (LLMs).
  • 2022.01 - 2023.01
    AI Fellow Intern
    Fusemachine
    Learned foundational concepts in machine learning, deep learning, natural language processing (NLP), and computer vision.

Volunteer

  • 2024.01 - 2024.01

    Pulchowk Campus

    Hardware Fellowship Instructor
    LOCUS 2024
    Involved in teaching Atmega328p programming to students.
  • 2023.5 - 2023.5

    Volunteer
    IEEE Power and Energy Society Nepal Chapter
    Volunteered at 3rd International Conference on the Role of Energy in Sustainable Social Development. (RESSD)
  • 2023.01 - 2023.01

    Pulchowk Campus

    President
    Electrical Club, Pulchowk Campus
    Involved in teaching circuit simulation and PCB design in Proteus.
  • 2022.01 - 2022.01

    Member
    Kathmandu Valley Leo Club, Pulchowk Campus

Education

  • 2019.11 - 2024.04

    Lalitpur, Nepal

    Bachelor’s
    Pulchowk Engineering College, Tribhuvan University
    Electrical Engineering
    • Aggregate 80.92 %
    • Thesis: Development of New Control Strategy in Transformerless Grid Connected PV Inverter to Reduce Leakage Current
    • 158th Rank in entrance examination among 18000 applicants, Top 1%
    • Electrical Courseworks: Electric Circuit Theory, Electromagnetics, Electronic devices and circuits, Electric Engineering Material, Advance Power System Analysis, Electrical Machine Design, Control System, Signal Analysis, Switchgear and Protection, Industrial Distribution and Illumination, Power Plant Design, Power Electronics, Transmission and Distribution Design
    • Computer Science Coursework: Computer Programming (C), Object Oriented Programming in C++, Digital Logic, Microprocessor (8085 and 8086)
    • Artificial Intelligence Coursework: - Artificial Neural Network
    • Mathematics Coursework: Linear Algebra, Probability and Statistics, Calculus I, Calculus II, Numerical Methods

Awards

Skills

Programming Languages
C
Python
C++
Libraries and Tools
TensorFlow
PyTorch
pandas
NumPy
Matplotlib
Scikit-learn
FastAPI
Version Control
Git
Operating Systems
Linux
Windows
Other Software
LaTeX
Microsoft Office Suite
Design Software
AutoCAD
Matlab
Simulink
Proteus
EasyEda
Electrical Design Skills
Transmission Line Design
Power Plant Design
Inverter Design
Photovoltaic Systems
Embedded System Programming
Atmega328p
Intel 8085
Intel 8086
PIC16F874
Node MCU

References

Available upon request