Mohammed Siddiq

AI & Machine Learning Engineer | Former ML Intern at Ignitus

Hi there! I'm Mohammed Siddiq. I recently graduated with a B.Tech in Computer Science, specializing in AI and Machine Learning, from Siddhartha Institute of Technology and Science.

I am passionate about AI, ML, NLP, and Deep Learning, and I continuously seek to explore new technological horizons. During my studies, I completed an internship at Ignitus, where I contributed to the Learning Management System (LMS) project and focused on house pricing prediction models.

I'm currently looking for opportunities in ML, Data Science, and AI roles where I can apply my skills and contribute to innovative projects.

Achievements

  • Built and launched a personal portfolio website, increasing professional outreach by 50%
  • Published a VS Code extension theme, "NightChill" downloaded by 50+ users
  • Active contributor to open-source projects on GitHub
  • Achieved 850+ contributions on GitHub
• •

Experience

Machine Learning Intern, Ignitus

February 2024 – May 2024

  • Implemented ML algorithms in the Learning Management System, boosting user engagement by 30%
  • Overcame remote work challenges, resolving issues and improving team efficiency
  • Took initiative on additional projects, demonstrating strong work ethic
  • Received commendations for dedication and performance in Machine Learning

Web Developer

Freelance Project for Excel Placements Link

2024

  • Orchestrated end-to-end domain migration to GoDaddy, including custom DNS configuration,hosting setup, and deployment optimization, ensuring smooth domain transition
  • Developed responsive website excelplacements.com, driving 40% surge in client acquisition through optimized UX
  • Delivered full-cycle technical support for domain transfer, hosting configuration, and site deployment.

Projects

Natural Language Question Answering System

Developed a Flask web application that enables users to upload PDF files and ask questions about their content. It utilizes fine-tuned BERT models for accurate answer retrieval.

Team Leader | Team Size: 5 | Duration: 60 days

Python • Flask • BERT • NLP

View Project

House Price Prediction

Built a predictive model using Gradient Boosting Regressor, enabling non-experts to make informed housing investment decisions.

Team Leader | Team Size: 4 | Duration: 60 days

Python • ML • Gradient Boosting • Data Analysis

View Project