Hi, my name is

Samanyou Garg.

I reinvent innovative products to make the world work better.

I am an experiential learner who dreams, designs and builds exceptional, high-quality web apps. I also train machines to teach themselves.

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About Me

I'm an aspiring Machine Learning engineer with a background in software engineering, who likes turning raw data into actionable insights. I develop exceptional web and mobile apps that provide simple, intuitive user interfaces with efficient and modern backends. I am an unconventional thinker who comes up with innovative solutions to complex problems, allowing projects to meet deadlines, budgets, and objectives.

Here are a few technologies I've been working with recently:

  • Python
  • HTML and CSS
  • JavaScript
  • SQL
  • Java
  • REST API
  • Flask
  • Android Studio

Where I've Worked

Hornet Representative @ University of Manchester

Sept 2018 - June 2019

Worked on the first line support/resolution of all wired and wireless issues reported in Manchester University Halls of residence.

Application Developer @ Vertex Pharmaceuticals

July 2017 - June 2018

  • Worked on a genetics and genomics data platform. Downloaded, cleaned and integrated big data from various sources, extracted useful insights from it and presented it to users in the form of visualisations.
  • Integrated lab equipment directly to the network using raspberry pi and built an IoT application allowing scientists to extract data from the equipment as well as analyse and visualise that data in real-time.
  • Redesigned a legacy application from the ground up and added new functionality to streamline an internal process with a massive amount of positive feedback from the stakeholders and the end users.
  • Developed a Progressive Web App, making it quick and easy for any employee to report incidents and accidents, thus overcoming the challenges of accessibility and increasing the report numbers by 3 times.
  • Created and established REST API design standards and best practices for application developers to create an API layer on their web projects.
  • Engineered an application to automate the workflow of filling paper-based Risk Assessment forms by chemists, thus increasing the efficiency of the workflow by 400%.
  • Liaised with research scientists to uncover their needs, convinced them to embrace computing and translated their requirements into innovative software-based solutions resulting in increased productivity
Developer @ CRIS

June 2016 - Sept 2016

  • Upgraded a Spring-based java-driven web application for better planning, coordination and faster execution of work between two Government departments.
  • Identified and analyzed customer’s requirements, processed flow charts involving customers at each stage and completed the project as per timeline, incorporating all milestones with full customer satisfaction.

Featured Projects

Group Emotion Recognition

AI app to recognize the emotions of groups of people in various social environments. Based on a novel combination of deep neural networks and Bayesian classifiers.

Tensorflow Flask (Python) Android Vision API OpenCV Numpy Scikit Learn
BHAGAVADGITA.IO

BhagavadGita.io is a modern Bhagavad Gita app with a simple, beautiful and easy to use interface, helping users focus on reading. It perfectly combines an intuitive, user-friendly design with best-in-class features to greatly enhance the experience of its users.

Flask (Python) PostgreSQL PWA Android (Java) OAuth2 REST API
TLDR This

TLDR This is a web app (+ chrome extension) that can take a painfully long piece of text and sum it up into five key bullet points using the power of NLP. Spend less time reading counterproductive stuff and more on doing valuable work.

Flask (Python) HTML / CSS / JS

Other Projects

HANUMAN Jekyll Theme

A responsive, lightning-fast Jekyll theme built using AMP (Accelerated Mobile Pages) to speed up your blogs and websites.

HTML CSS Ruby
FLASK EXAMPLE REST API

An example API that follows some of the Best Practices for designing a REST API.

Flask OAuth2 OpenAPI
STENDHAL GAME

Tested, debugged, built, developed and deployed a multi-user, multi-threaded, client-server open source game containing over 6000 Java classes and 1800 test cases.

Java Eclipse Apache Ant Jenkins Junit
Cloth Classification

A Tensorflow model for classifying clothes using the Fashion MNIST dataset.

Tensorflow Jupyter Notebook Pandas Scikit Learn Numpy

Get In Touch!

Although I'm not currently looking for full-time opportunities, my inbox is always open. Whether it's for a prospective project or just to say hi, I'll try my best to answer your email.

Contact Me