Zohaib Shaik

Full Stack AI Developer and Enthusiast

01. About Me

I am Zohaib Shaik, an Artificial Intelligence and Data Science graduate with hands-on experience in Python, AI, Machine Learning, Deep Learning, and Backend Development. I have worked on AI-driven applications, scalable backend systems, and cloud technologies (GCP) to build efficient solutions for real-world problems.

02. Experience

Backend Engineer Intern

Smollan (Google)

2024 July — Present

  • Developed 50+ backend endpoints for Google’s internal projects.
  • Built scalable systems handling 10k+ daily uploads, integrating GCS Buckets, and NoSQL.
  • Optimized APIs for 90% uptime, enhancing performance, error handling.
  • Implemented real-time data pipelines across 5+ GCP services for seamless sync and analysis.
PythonFastAPISQLGoogle FirebaseGoogle BigQueryGoogle Cloud StudioGoogle Cloud Platform (App Engine, Cloud Run)Docker

Machine Learning Intern

Smart Internz

2023 Jan - 2023 Jun

  • Built a Sentiment Analysis model, reducing negative sentiment in customer feedback.
  • Developed an ML model with 95% acc for feedback classification, cutting manual review time.
  • Integrated models into a customer feedback system using Python, Flask, HTML, and CSS.
PythonNumPyPandasRegex (re)NLPNLTKScikit-learnTensorFlowKerasSentiment AnalysisFlaskHTMLCSS

03. Education

B.Tech in Artificial Intelligence & Data Science

Gudlavalleru Engineering College - Vijayawada, AP

2020 — 2024

Higher Secondary Classes (HSC)/11th & 12th Class

Sri Sarada Educational Institutions - Vijayawada, AP

2018 — 2020

High School (SSC)/10th Class

Ravindra Bharathi Public School - Vijayawada, AP

2017 — 2018

04. Projects

Drug Recommendation System -- NLP

The Project NLP-driven drug recommendation system analyzes patient reviews using TF-IDF and a Passive Aggressive Classifier to suggest optimal medications across 120 medical conditions.

Python NLTK Machine Learning - NLP Flask HTML CSS

Fishery Advisory Services

A deep learning-based advisory system that provides valuable insights on fish species, locations, and weather conditions to maximize profits and conserve resources for fishermen.

Python TensorFlow Flask API HTML CSS3

Django Notes App

A web-based note-taking application built using Django, allowing users to efficiently manage, organize, and retrieve notes with a seamless backend integration.

Python Django HTML CSS Bootstrap

College Fest Web-page

A user-friendly web page developed for a UI/UX design competition, ensuring smooth navigation and efficient performance within the given timeline.

HTML CSS Bootstrap JavaScript

InstaMint

Advanced EMI Calculator is a modern, feature-rich EMI computation tool designed for Indian consumers in 2025. It helps users calculate EMIs for different loan types, compare multiple loan options, visualize, and estimate affordability based on income and expenses.

Python Streamlit Plotly Steamlit Cloud Community Pandas & Numpy

Webcrawler

This WebCrawler designed by scrapy where the web crawler, crawls through this website https://www.takeofftalent.com/ and some other and display's the results in here.

Python Scrapy Markdown

Expense Tracker

An Expense tracker using Streamlit with a NoSQL DB(Firebase) connected to it and deployed in the Streamlit Community Cloud

Python Streamlit Firebase Streamlit Cloud Community

05. Publications

Passive-Aggressive Classifier Driven Drug Recommendation System

7th International Conference on Intelligent Computing(IConIC) held on, 2024

06. Contact

I'm always open to new opportunities and collaborations. Feel free to reach out!

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