Hi, I'm Himanshu Damani.

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Self-driven, quick starter, passionate salesforce developer with a curious mind who enjoys solving a complex and challenging real-world problems.

About

I am a Salesforce Developer. Currently working at Nagarro. I enjoy problem-solving and coding. Always strive to bring 100% to the work I do. Need to add details here''''. I have 3+ years of professional work experience which helped me strengthen my experience in Salesforce Development. I am passionate about developing complex applications that solve real-world problems impacting millions of users.

  • Languages: Apex, Java, JavaScript, C, C++, HTML/CSS
  • Databases: MySQL, PostgreSQL
  • Tools & Technologies: Git, Docker, AWS, GCP, Heroku, JIRA

Looking for an opportunity to work in a challenging position combining my skills in Software Engineering, which provides professional development, interesting experiences and personal growth.

Experience

Salesforce Engineer
  • Test Test Test Test Test Test Test Test Test Test.
  • Test Test Test Test Test Test Test Test Test Test. Test Test Test Test Test Test Test Test Test Test. Test Test Test Test Test Test Test Test Test Test. Test Test Test Test Test Test Test Test Test Test. Test Test Test Test Test Test Test Test Test Test.
  • Test Test Test Test Test Test Test Test Test Test.
  • Test Test Test Test Test Test Test Test Test Test.
  • Tools: Test , test, test
test 2020 - test 2020 | Remote, India
Test Developer
  • Test Test Test Test Test Test Test Test Test Test. Test Test Test Test Test Test Test Test Test Test. Test Test Test Test Test Test Test Test Test Test. Test Test Test Test Test Test Test Test Test Test.
  • Test Test Test Test Test Test Test Test Test Test. Test Test Test Test Test Test Test Test Test Test.
  • Test Test Test Test Test Test Test Test Test Test. Test Test Test Test Test Test Test Test Test Test. Test Test Test Test Test Test Test Test Test Test.
  • Test Test Test Test Test Test Test Test Test Test. Test Test Test Test Test Test Test Test Test Test. Test Test Test Test Test Test Test Test Test Test.
  • Tools: TEst, test test, test
Test 2018 - Test 2019 | Remote, India
Test Developer
  • PTest Test Test Test Test Test Test Test Test Test. Test Test Test Test Test Test Test Test Test Test. Test Test Test Test Test Test Test Test Test Test. .
  • Test Test Test Test Test Test Test Test Test Test. Test Test Test Test Test Test Test Test Test Test. .
  • Tools: TEst, Test, stest
July 2018 - Nov 2018 | REmote, India
Test Trainee
  • Test Test Test Test Test Test Test Test Test Test. Test Test Test Test Test Test Test Test Test Test. Test Test Test Test Test Test Test Test Test Test. .
  • Test Test Test Test Test Test Test Test Test Test. Test Test Test Test Test Test Test Test Test Test. a.
  • Tools: Test, test, test
June 2017 - July 2017 | REmote, India

Projects

music streaming app
Music Player Web-App

A music streaming web app based on Django

Accomplishments
  • Tools: Django, HTML, CSS, Bootstrap, SQLite, AWS S3, Heroku
  • Register/login to the web app(with OAuth-based Google Sign-In).
  • Search and filter songs based on language and singer.
  • Create multiple playlists and add/remove songs to/from playlist.
  • Scroll through recently played/viewed songs.
quiz app
Quiz Web-App

A quiz playing web app based on Django

Accomplishments
  • Tools: Django, HTML, CSS, Bootstrap, SQLite, Heroku
  • Register/login to the web app(with OAuth-based Google Sign-In).
  • Play Quiz and see the leaderboard
Screenshot of web app
Blog Web-App

A simple and extensible blog web-app based on Flask.

Accomplishments
  • Tools: HTML, CSS, Bootstrap, Flask, SQLAlchemy, Postgresql, Python
  • Users can view posts and contact the admin via Contact Page.
  • Admin can Add, Delete, Update posts.
Screenshot of  web app
Visual Question Answering

An attention-based classification model that aims at generating an answer for a given input image.

Accomplishments
  • Incorporated Convolution Neural Networks (CNN) for extracting image features and Long Short Term Memory for extracting question embeddings.
  • Tested the model on the COCO dataset, abstract scenes images, and got 69% overall accuracy on the VQA evaluation metric.
Screenshot of  web app
Video Summarizer

A Seq2Seq model that generates a short summary of the given input video.

Accomplishments
  • Incorporated CNN to detect and classify objects in the video frames and Long Short Term Memory for generating a summary.
  • Evaluated the model on MSVD (Microsoft Video Description Corpus) dataset; achieved 0.77, 0.71, 0.52 scores respectively on ROGUE, BLEU, METEOR evaluation metrics.
Screenshot of  web app
Image Generator

An image generator based on the concept of adversarial networks (GANs)

Accomplishments
  • Developed system was tested on a human-face database and loss was calculated by comparing the PCAs of generated and original image.
  • Calculated difference in PCA was less than 10%, depicting the successful generation of an image by the generator.
Screenshot of  web app
Head Counting System

A system that calculates the attendance of the class from a panoramic image of a live classroom.

Accomplishments
  • Used Singular Value Decomposition for image compression; applied various image processing techniques and morphological operations to detect the number of heads.

Skills

Languages and Databases

Python
HTML5
CSS3
MySQL
PostgreSQL
Shell Scripting

Libraries

NumPy
Pandas
OpenCV
scikit-learn
matplotlib

Frameworks

Django
Flask
Bootstrap
Keras
TensorFlow
PyTorch

Other

Git
AWS
Heroku

Education

Arizona State University

Tempe, USA

Degree: Master of Science in Computer Science
CGPA: 4.0/4.0

    Relevant Courseworks:

    • Distributed Database Systems
    • Cloud Computing
    • Foundations of Algorithms

School of Engineering and Applied Science, Ahmedabad University

Ahmedabad, India

Degree: Bachelor of Technology in Information and Communication Technology
CGPA: 3.13/4.33

    Relevant Courseworks:

    • Data Structures and Algorithms
    • Database Management Systems
    • Operating Systems
    • Machine Learning
    • Computer Vision

Contact