• Hi!
    I'm Shovit Bhari

    I've learned that I still have a lot to learn.

    At the Mt. Whitney summit on August 4th 2019.

    Download Resume

  • I am
    an AI/ML Engineer

    Focused on Natural Language Processing and Computer Vision

    Picture speaks volume. Savir undergoing unsupervised learning process.
  • I am
    a Physics Demonstration Expert

    Develop an intuitive understading of the world Physics Demos

  • I am
    an Instructor

    Students are my teachers.

  • I am
    a husband and a dad

    My family invigorates me.

About Us

Who Am I?

Hi I'm Shovit Bhari. A physics lecture demonstration expert who explored the new avenues of Data Science, Machine Learning, Artificial Intelligence, and Quantum Computing during the pandemic lock down to get out of the comfort zone and solve real-world problems.

My area of interest is Natural Language Processing and Computer Vision

What I do?

My Expertise

Machine Learning

Supervised and unsupervised methods, ensamble methods, and neural networks.

Data Visualization

Static and interactive data visualization

Deep Learning

Completed several projects in text, and image data implementing variety of deep learning models : convolutional neural network, and recurrent neural network.

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Cloud Computing

Familiar with parallel (GPU) and distributed (Spark) computing paradigm. Experienced with AWS and GCC cloud computing infrastructure.

Frameworks

Scikit-Learn ,NLTK,Spacy,Tensorflow, PyTorch,OpenCV, Pytesseract

Tools

Git, Github, and Docker

My Specialty

My Skills

Python

80%

R

75%

Matlab

50%

Quantum Computing

60%

HTML5

80%

CSS

60%

Natural Language Processing

90%

Computer Vision

70%
Experience

Work Experience

AI Engineer at JAMS Next (Part-time) 2020-Present

  • Instrumental in researching, prototyping, designing, implementing, and evaluating machine learning models for resume parsing, resume scoring, resume ranking, and resume matching with the job description.
  • Prototyped entity recognition of resume using nltk, Spacy and Streamlit.
  • Researched, prototyped (from research papers), built features, and optimized the state-of-the-art machine learning and deep learning techniques like LSTM, CNN, RCNN, etc. using scikit-Learn, Keras, TensorFlow on CPU/GPU environments for resume parsing, resume scoring, resume ranking, and resume matching with the job description.
  • Applied various transfer-learning techniques using pre-trained word like cosine similarity, BERT, Universal Sentence Encoder for text similarity tasks.
  • Developed/Tested/Maintained internal text-processing libraries using nltk and Spacy
  • Business problems solved: keyword generation, text/phrase prediction, and resume scoring.
  • Participate in all aspects of business development from market research and finance to operations and marketing, ensuring that the company’s vision was followed.
  • Develop business plan including value proposition, product roadmap, revenue model, marketing strategies, traction generation, and team member recruitment.

Operations Systems Analyst at CSU, Fullerton 2011-Present

  • Work closely with students and faculty to better provide a learning experience in a lab.
  • Design, fabricate, prepare, set up, take down, and maintain laboratory/Demo apparatuses for lower and upper division physics labs and classes.
  • Provide primary support for instructional demonstrations in lecture courses.
  • Participate in laboratory curriculum development to improve lecture demonstrations and lower division laboratory.
  • Provide, organize, and conduct regular viewing events with telescopes and portable planetarium for astronomy course, and for local schools and various community organizations.
  • Organize and conduct science outreach events with a variety of physics demonstrations for local area schools, community colleges, various community organizations.
  • Primary curator of the portable planetarium used for science and astronomy and public outreach.
  • Responsible for radiation safety in physics laboratories.

Part-time Faculty at CSU, Fullerton 2018-Present

On a leave of absence till Spring 2020

  • Teach calculus-based introductory physics class to future engineers and scientists.
  • Teach introductory astronomy labs to non-science majors.
  • Lecture on fundamental knowledge for physics and astronomy.

Adjunct Faculty at Irvine Valley College 2016-2018

  • Teach scheduled observational astronomy to non-science majors and perform related duties as assigned.
  • Lecture on foundational knowledge for astronomy lab.
  • Participate in Student Learning Outcome assessment.

Adjunct Faculty at Mt. San Antonio College 2015-2015

  • Teach and coordinate set up conceptual physical science class and lab.
  • Teach conceptual introductory physical science lab and class to a diverse student population.
  • Lecture on foundational knowledge for physics labs.

Instructor at The Princeton Review 2009-2015

  • Lecture on non-calculus-based introductory physics to MCAT (Medical College Admission Test) taking students
  • Teach SAT-II Physics, AP Physics, SAT-II Math to high school students.

My Work

Recent Projects

SwiftKey

Code

Shiny Apps

Driven Data

Magnet

Model the Geomagnetic Field

Where is ISS

Code

Streamlit

Resume Match

Code

Streamlit
Education

Education

California State University, Fullerton

January 2009

Luther College
Major: Physics and Mathematics
Minor: Computer Science

January 2006

Special Trainings

Specializations

University of Michigan

August 2020

Courses

  • Introduction to Data Science in Python
  • Applied Plotting, Charting & Data Represensation in Python
  • Applied Machine Learning in Python
  • Applied Text Mining in Python
  • Applied Social Network Analysis in Python

Learned how to:

  • Conducte an inferential statistical analysis
  • Discerne whether a data visualization is good or bad
  • Enhance a data analysis with applied machine learning
  • Analyze the connectivity of a social network

Skills Gained

Python Programming, Pandas, Data Visualization, Text Mining, Graph Network, Machine Learning

Github Certificate

John Hopkins University

August 2020

Courses

  • The Data Scientist's Toolbox
  • R Programming
  • Exploratory Data Analysis
  • Getting and Cleaning Data
  • Developing Data Products
  • Statistical Inference
  • Practical Machine Learning
  • Regression Models
  • Reproducible Research
  • Data Science Capstone

Learned how to:

  • Conducte an inferential statistical analysis
  • Discerne whether a data visualization is good or bad
  • Enhance a data analysis with applied machine learning
  • Analyze the connectivity of a social network

Skills Gained

Python Programming, Pandas, Data Visualization, Text Mining, Graph Network, Machine Learning

Github Project Certificate

Stanford University

January 2020

Skills Gained

Matlab Programming, Machine Learning Algorithms, Machine Learning, Artificial Neural Network

Projects Certificate
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