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Himanshu Garg

Hello! I'm Himanshu Garg, an engineering student based in India,

I enjoy doing analysis of data whether its structured or unstructured. Apart from that professionally, I do DevOps and Machine Learning and MLOps as well.

I am in Senior year of my bachelors at Kurukshetra University, I worked as an intern for multiple companies during the course. Currently, working with PrepLadder (An Unacademy company)where I help PrepLadder to solve problems using ML and to identify the sectors where ML can be introduced.

Projects

CursAR

Transforming Education, Helping Student Visualize Effectively & EfficientlyReact, Node.js, Firebase, Android, Vuforia, Express.js, C#, MongoDB, Unity 3D, Google Cloud Platform (GCP)

Medico Bot

Medico Bot is your conversational bot-based one stop mental and physical diagnosis solution along with severity detection based on symptoms. Also detects and shows nearest medical facility on map.HTML, CSS, JavaScript, Heroku, Python, FAST API, Azure Bot Service

Tagonizer

AI-Powered Review And Tag Correction/Classification ToolVisual Studio Code, JavaScript, Heroku, Python, Microsoft Cognitive API, Microsoft Azure, FastAPI, Chrome, CSS3​, HTML5​

Tagonizer 2.0

AI-Powered Review, Tag and User Image Correction/Classification ToolVisual Studio Code, JavaScript, Deep Learning, Heroku, Python, CSS3, Microsoft Azure, FastAPI, Chrome, HTML5​

Shatranj

The classic game of chess with a modern prize for winning. Play with $ASHF, winner takes it all.Solidity, React, MetaMask, Next.js, Socket.IO, Python, ethers.js, PostgreSQL, TypeScript, Polygon

City Surveillance

A Real-time automated system for identifying criminals, missing persons with a very competitive alert and navigation system for local PD.React, Node.js, Firebase, Python, Dialogflow, Express.js, Azure, Facebook Messanger

Skills

Machine Learning
Chatbots
DevOps
Microsoft Azure
MLOps

Experience

  • Career Launcher - Machine Learning Intern
    July 2019 - August 2019
    • The focus in the internship was to solve the financial Market-related problem using Machine Learning.
    • He got taught about Financial markets, Modern Portfolio Theory, Algorithm Classification and trading.
    • Day to Day task involved researching about new news and studying its impact on the market.
  • Crio.Do - Student Developer
    January 2020 - April 2020
    • Worked on developing various products including a setup of FTP System, Backend for a Financial Portfolio Website.
    • Worked on developing an IDE concreting the concepts of Compiler Design & System Design
  • Crio.Do - Teaching Assistant
    January 2020 - September 2020
    • Assisted learners in Linux & Python and Assuring Quality Responses.
    • Helped Core team with issue tracking and tackling.
  • PrepLadder - Machine Learning Intern
    November 2020 - Present
    • Identify the opportunities where ML can be implemented.
    • Fullfilling the Analytics and ML Requirement of multiple teams.