HarshRaj2717

Harsh Raj

Greetings, I'm Harsh Raj. With over four years of hands-on experience in Python, Django, JS, Node, Express, React, and Next, I've honed my skills. Additionally, through my internship at MetroGhar (Nov '22 - Aug '23), I also specialized in crafting web scraping bots, data analysis tools, and APIs.

My expertise lies in backend development using Node/Express/Next.js or Python/Django. I've also worked in data analysis, image/video manipulation, and computer vision using Python. My adaptability to diverse tech stacks allows me to seamlessly work with any set of tools comfortable for my team.

Tech Snapshot:

  • Languages: Python, C/C++, JavaScript, Bash, SQL, HTML/CSS
  • Frameworks: Django, NextJS, ExpressJS, Flask, Bootstrap, Tailwind
  • Developer Tools: Linux, Git, Vim, VS Code, Figma
  • Libraries: Selenium, Pandas, NumPy, Matplotlib, SciKit-Learn, Tkinter, OpenCV, React

Explore more about me at hraj.dev. I'm ready for challenging projects and enthusiastic to make valuable contributions to the hackathon!

Projects

InnoVest

Innovate - Invest - InspireSolidity, Python, MERN stack, Blockchain, AI/ML, Polygon, Replit

INNOVEST

Innovate - Invest - InspireSolidity, MERN stack, React.js

GreenEnv

...Flutter, Web3, MERN stack, Solana

TeamSync.AI

World's first AI software companyPython, MongoDB, FastAPI, nextjs, langchain, crewai, Groq, LangGraph

Skills

Python
C++
Linux
MERN
Flask and Django

Experience

  • Teachnook - Machine Learning Trainee
    November 2022 - December 2022
    • Learned about various machine learning techniques.
    • Worked on various Python projects using NumPy, Pandas, SciKit-Learn and MatPlotLib.
    • Built a Bangalore House Pricing Predictor by performing EDA.
  • MetroGhar Property Solutions Private Limited - Python Developer
    November 2022 - August 2023
    • Worked on crawling, extracting, and processing raw data at scale from the web and PDF files (using Selenium, Pandas, NumPy, SQL, and BeautifulSoup).
    • Built data analysis tools to clean and organize data.
    • Developed various REST APIs for automating and maintaining a constant flow of data from multiple sources.
    • Optimized the scraping capability to ensure the data is scrapped efficiently with the minimum usage of server bandwidth.