Software Developer Data
Resume:
MUKUL JANGID
Indian Institute of Technology, Mandi
[ ******.****@*****.*** Ó +917********* https://www.linkedin.com/in/mukul-jangid-a92a7a15a
https://github.com/NameJangid
EDUCATION
B.Tech (Electrical Engineering)
Indian Institute of Technology, Mandi
2016-2020 Mandi
• CGPA: 7.6/10
CBSE (Matriculation & Higher Sec-
ondary)
St.Anselm’s Sr. Sec. School
2014-2016 Jaipur
• X - 9.8 (CGPA) & XII - 91.2%
PROJECTS
Evaluation of Quantitative System Pharma-
cology and Machine Learning Models for
Blood Glucose Prediction
• Used Various physiological Model like AIDA
and Meal Simulation Model to generate data.
• Use Machine Learning Model and Deep Learn-
ing Model to improve acccuracy.
• Taken this as Final Year Project under Dr.
Varun Dutt
Hadoop Map-Reduce implementation of
PageRank
• Gained experience in hadoop and distributed
processing and implemented PageRank
and Recommendation engine in 2 separate
projects.
• github-link
Video colorization using Deep Learning
• Implemented Deep Learning algorithms to
re-colorize black and white video while pre-
serving temporal features so that color palette
does not vary significantly between frames.
• github-link
GO Wheel [Robotics]
• The objective is to convert a normal cycle into
a assisted cycle by only replacing the front
wheel with the GO WHEEL.
• We used a wall effect sensor and gyroscope
to measure the rpm and slope of the cycle to
provide a adequate power to the front wheel.
• The motive is reduce the cost of normal avail-
able e-bikes and also to reduce the power
consumption.
EXPERIENCE
SOFTWARE DEVELOPER
Publicis Sapient
Sep 2020 – Present Bengaluru, India
• Credit Card Processing Service
• User can store and view various credit cards and their corre- sponding transactions.
• In case of a faulty transaction, admin can update the file man- ually.
• Technology used: ReactJS, Java Microservices and MongoDB SOFTWARE DEVELOPER INTERN
Novopay
Dec 2018 – Feb 2019 Bengaluru, India
• Low Code Farmework
• Developed a React Rendering Engine which takes JSON files as input and creates dynamic forms.
• User can list the required components in the JSON files and corresponding form is rendered through react.
• Given components are mapped into self-made components.
• Elastic Search is used as persistence store, which is used to store JSON files and data entered by the user.
• Java Microservice API was used to connect elastic search and react.
TECHNICAL SKILLS
Programming Languages - C/C++, Java
Backend Development
Deep Learning
Frontend Development
SOFTWARE SKILLS
• Python Frameworks : TensorFlow, Keras,
• Computer Languages : Java, C/C++, Python, Javascript, Type- script
• Databases : PostgreSQL, MongoDB
• Tools : Git, Docker
• Development : ReactJS, SpringBoot, Netflix OSS tools
• Big Data : Hadoop
POSITIONS OF RESPONSIBILITY
Design Practicum
June 2017 – September 2017
• Group leader in Design Practicum project GO wheels.
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