This document is a resume for Anuraag Chirala summarizing his education and experience. He is currently pursuing a B.S. in Materials Science and Engineering at UC Riverside with relevant coursework including Electrical Properties of Materials, Introduction to Materials Science and Engineering, and Introduction to Python. For experience, he has worked as a Personal Assistant for Synergies USA and volunteered in Dr. Dmytro Zagrebelnyy's lab at UC Riverside. His projects include designing an engineering mechanical truss model and contributing to a Discord language translator bot. His skills include Microsoft Office, problem solving, leadership, and Python programming.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
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Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
1. Anuraag Chirala
Riverside CA 92521 | 330-224-5372 | anuraagchirala02@gmail.com | www.linkedin.com/in/anuraag-chirala
Summary
Currently, an undergraduate student majoring in Materials Science and Engineering and am commended for my
expertise in Microsoft Office, taking responsibilities, coordinating discussions/meetings, and general materials
laboratory skills. I'm dedicated and organized to help companies and laboratories thrive to their best potential. I
I also have a strong and eminent passion for the field of semiconductors and nanotechnology.
Nationality: American
Inspected aluminum alloy wheels to examine their mechanical
properties and characteristics as per the customer's requirements.
Assisted the general manager to verify the information from
invoices and purchase orders.
Participated in customer interactions to learn about business
management with alloy wheels and other crucial business deals.
Interacted with customers via phone, email, and in person to
provide information regarding scheduled meetings.
Performed regular testing equipment validation to show that the
equipment was properly maintained and that the lab environment
was safe to use.
Hands-on experience in carrying out experiments to test materials'
mechanical, electrical, thermal, and magnetic properties.
Ensured that lab tools were thoroughly cleansed and stored in their
original places, along with sanitizing the lab workspaces.
Designed an engineering mechanical truss by effectively applying
engineering procedures and guidelines.
Performed work according to project schedules and high-quality
standards.
Used the knowledge and formulae covered in my course (Statics) to
generate ideas in adhering to the project requirements.
Carried out calculations for the applied forces in each part of the
truss structure.
Included Adobe Illustrator and Canva to create captivating graphics
customized to the judges' desire.
Used teamwork and effort(s) by completing and verbally presenting
a language translation Discord bot to the public.
Demonstrated knowledge in Python 3.1; extracted data from Pycord
and Google Translate to obtain APIs to print information onto the
text editor.
Used GitHub to store code and project information as well as a
presentation to briefly summarize our project.
Work Experience
Synergies USA Inc, Troy, Michigan - Personal Assistant
June 2022 - August 2022
Dr. Dmytro Zagrebelnyy Lab, UC Riverside - Volunteer
Sept 2021 - May 2022
Projects
Ski Lift Engineering Truss Model Design
June 2022 - August 2022
Citrus Hack Hackathon: Discord Language Translator Bot - Graphic
Design
April 2022
Electrical Properties of Materials
Intro to Materials Science and
Engineering
Intro to Python
Engineering Thermodynamics
Circuits and Electronics
2020 Winner’s award and team
award for badminton singles and
basketball, respectively, Waltair
Club Annual Sports Games
2019 National Sangeet Sree Award,
8th International Dance and Music
Festival, Cuttack Mahotsav
2018 National Youth Model
Parliament (Winning party), hosted
by Andhra University
2017 Gold medal in the
International English Olympiad
Education
University of California, Riverside
B.S. in Materials Science and
Engineering
September 2020 - June 2024
Skills
Microsoft Office, Problem-solving,
Leadership, Communication,
Management, Project design, Python
3.1, Canva, Engineering, Brainstorming,
Teamwork, Creativity, Technical
communications
Interests
Metallurgy, Semiconductors,
Nanotechnology, Magnetic materials,
Solid-state electronics, Calculus,
Coding, Aesthetics, Travel, Adventuring,
Socialization, Instrumental music
Coursework
Achievements