Computer Science Software Engineer

Rishi Madan

Dehradun, India *************@*****.*** +91-813******* LinkedIn: rishimadan

EDUCATION

UNIVERSITY OF PETROLEUM

AND ENERGY STUDIES(UPES)

B.Tech in Computer Science

Anticipated Completion. JUNE 2024

CGPA: 8.15

D.A.V. PUBLIC SCHOOL

PCM with Hindustani Vocal

Grad. May 2020 Faridabad, India

COURSEWORK

UNDERGRADUATE

Object Oriented Programming

Analysis and Design of Algorithms

Data Structures

Mathematics I,II

Operating Systems

R-DBMS

Image Processing

Artificial Intelligence

Advanced Machine Learning

Computer Graphics

SKILLS

PROGRAMMING

Languages:

Advance:- Python, C++ • Intermediate:- C,

Java, PH • Novice:- JavaScript

Tools:

Git • Linux • Windows • Scikit-Learn •

Keras • MS-Excel • PowerBI

Technologies:

HTML • CSS • MySQL

OTHERS

• Lawn Tennis

• Public Speaking

• Cricket

• Reading

VOLUNTEERING

• Served as the team lead of digital

marketing interns at the Hara

Jeevan Foundation and was

responsible for maintaining the

organization’s online presence by

working on various marketing

campaigns.

• Being a ChangeMaker was a link

between the Career Services office

and students.

EXPERIENCE

WHIRLPOOL OF INDIA LIMITED Industry Automation

June 2023 - Present

• I am analyzing production data to monitor the OEE using xMII(SAP) with PLC using the SCADA interface in modular forms to identify opportunities for improvement.

• I am then implementing recommendations to increase OEE. MOVIDU TECHNOLOGY PVT LTD Web Development Intern Dec 2020 – March 2021

• Developed a responsive website to allow users to buy and sell products and services online using HTML, CSS, and JavaScript.

• Built back-end server using a server-side programming language namely Python.

PROJECTS

FOOD QUALITY EVALUATION USING DEEP LEARNING

ALGORITHM Convolutional Neural Network Computer Vision Transfer Learning Python Pytorch Image Processing

• Developed an image-based freshness classification model based on critical quality determination aspects, namely shape, and texture.

• Introduced a dataset containing high-quality images of Chicken at 22 different timestamps:- 09.30 AM, 09.50 AM, 10.20 AM,– to 12.05 AM timestamps Mendeley Dataset- Chicken

OBJECT DETECTIONWEBAPP TensorFlow OpenCV Flask

• Used TensorFlow to load a pre-trained deep learning model and utilized OpenCV for image preprocessing and post-processing tasks.

• Used Flask to create the web interface for users to upload images and view object detection results in real time.

RESEARCH

INFORMATICS CLUSTER, SCHOOL OF COMPUTER SCIENCE,

UNIVERSITY OF PETROLEUMANDENERGYSTUDIES

Researcher Scholar

Sep 2022 – present Dehradun, India

Worked with Dr. TANUPRIYA CHOUDHURY to develop an image-based freshness classification model based on critical quality determination aspects, namely shape, colour, and texture.

PUBLICATIONS AND ACHIEVEMENTS

• Madan, R., Choudhury, T., Sarkar, T., Bansal, N., Toe, T.T. (2023). Chicken Quality Evaluation Using Deep Learning. In: Rathore, V.S., Piuri, V., Babo, R., Ferreira, M.C. (eds) Emerging Trends in Expert Applications and Security. ICETEAS 2023. Lecture Notes in Networks and Systems, vol 682. Springer, Singapore.

• Sharma, H.K., Choudhury, T., Madan, R., Sille, R., Mahdi, H. (2023). Deep Learning Based Model for Multi-classification of Flower Images. In: Rathore, V.S., Piuri, V., Babo, R., Ferreira, M.C. (eds) Emerging Trends in Expert Applications and Security. ICETEAS 2023. Lecture Notes in Networks and Systems, vol 682. Springer, Singapore.

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