Mudit Jain is a computer engineering student currently studying at the National Institute of Technology in Kurukshetra, India. He has experience programming in languages like C, Python, Java, and NodeJS. Some of his projects include a face detection program using OpenCV, a text editor built with Tkinter, a chat application using NodeJS and sockets, and a hospital management system in Java and MySQL. Mudit is an active competitive programmer on platforms like CodeChef, HackerRank, Codeforces, and SPOJ, with ratings of 1954 on CodeChef and 1470 on Codeforces. He was previously a topper in his school, achieving 92.2% overall and the highest marks in his class
AboutAbout
As a Machine Learning Engineer, I am enthusiastic about exploring the fascinating field of machine learning and its potential applications in solving real-world problems. I have a good amount of knowledge in mathematics, statistics, and computer science, which enables me to understand and implement the fundamental concepts and techniques of machine learning.
My experience includes working with various data analytics tools and technologies, such as SQL, Python, Tableau, and Power BI. I have developed expertise in data cleaning and exploratory data analysis, statistical inference, and machine learning techniques such as regression, and clustering, my experience also includes working with a variety of machine learning tools and frameworks, including, Scikit-learn, TensorFlow and Keras. I have also developed expertise in data pre-processing, feature engineering, and model selection, which has enabled me to create robust and accurate machine-learning models.
I am eager to expand my knowledge and expertise in machine learning research and AI-related fields. I am a quick learner, and I am always willing to take on new challenges and stretch myself to develop new skills. Furthermore, I am a good communicator and collaborator, able to work effectively in a team and learn from more experienced colleagues.
I am excited about the potential of machine learning to create positive change and improve people's lives specifically in Health Care industries. I am committed to staying up-to-date with the latest developments in machine learning and related fields, attending conferences and workshops, and engaging in continuous learning. I am eager to apply my skills and experience to solve complex problems and create value for organizations.
https://www.linkedin.com/in/sudharmendra-gv-7214361b2/
Machine Learning EngineerMachine Learning Engineer
Longevity InTime BioTech · Part-timeLongevity InTime BioTech · Part-time
Nov 2022 - Present · 6 mosNov 2022 - Present · 6 mos
Wilmington, Delaware, United StatesWilmington, Delaware, United States
Longevity Intime is a company developing online technology, which enables early diagnosis of diseases using real-time biometrics from the human body.
The Longevity InTime team includes experienced biotechnologists, award-winning scientists, developers, and experienced executives with years of experience. Together we are solving the global problem of life expectancy for each person and for all mankind.
Our goal is to extend a person's life by more than 20 active and happy years without any restrictions to him. We respond to both the personal and public interests of every country on Earth.Longevity Intime is a company developing online technology, which enables early diagnosis of diseases using real-time biometrics from the human body. The Longevity InTime team includes experienced biotechnologists, award-winning scientists, developers, and experienced executives with years of experience.
1. Mudit Jain
79, Laxmi Nagar Colony,
Brahampuri, Jaipur
ciphereck@protonmail.com
(+91) 7206307664
https://www.linkedin.com/in/ciphereck/
https://github.com/ciphereck
EDUCATION
Bachelor In Technology in Computer
Engineering
National Institute of Technology, Kurukshetra
06/2016 – Present (05/2020 Expected Completion) CGPA 7.82
- Basics of C and Programming
- Data Structures
- Digital Electronics
- Discrete Mathematics
Senior Secondary (12th Standard)
Shri Bhawani Niketan Public School, Jaipur
06/2013 – 05/2015 92.2%
- Science ( Non – Medical) - Information Practices
Secondary (10th Standard)
Shri Bhawani Niketan Public School, Jaipur
06/2011 – 05/2013 CGPA 9.20/10.00
SKILLS
PROJECTS
Face Detection Program
A simple program to detect the
faces in the image provided and get it
rectangled. (Machine Learning)
https://github.com/ciphereck/Face-
Detection-OpenCV
Text Editor(notePad) Using
Python(Tkinter)
A simple Text Editor developed
using Tkinter library in Python. The
Text Editor have simple options of
New File, Opening File, Saving File And
Exiting the Editor..
https://github.com/ciphereck/NotePa
d-Text-Editor
Public Chat Application (Socket)
A Simple chat application
implemented using NodeJs and Socket
Programming.
https://github.com/ciphereck/Group-
Chat-NodeJS
Hospital Management System
Implemented in JAVA and MYSQL.
ACHIEVEMENTS
Sports Programmer
Actively Participates on various competitive programming
platforms like CodeChef | HackerRank | Codeforces | SPOJ
Codechef Rating – 1954
Max Rating :- 2003 (5 star) , Handle :- ciphereck
Codeforces Rating – 1470
Max Rating :- 1470, Specialist , Handle :- ciphereck
School Topper
Topped the School with 92.2 % and highest marks in
Information Practices (100/100). Got appreciation from CBSE
for being in top 0.1% of all the students.