MUKUL JANGID

Indian Institute of Technology, Mandi

[ adkz3b@r.postjobfree.com 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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