Open to opportunities

MOHAMMED SAAD C

@mohammedsaadc

Message

I build AI-integrated web applications and machine learning systems for real-time prediction, vision, and automation.

India

Message

What I'm looking for

I'm looking to build AI-powered products and real-time data applications where I can apply machine learning, full-stack development, computer vision, and generative AI while growing through hands-on engineering work.

I built and deployed 5+ AI-integrated web modules at 8Queens Software Technologies using React.js, Node.js, and Supabase, reducing production page load times by 25%.

I designed 10+ RESTful API endpoints across MySQL, MongoDB, and Supabase to support data-driven features handling 1,000+ daily requests. Working in a five-member Agile team, I delivered sprint commitments on schedule using Git workflows and low-code automation.

My projects combine machine learning with practical product development: a real-time LSTM-CNN cryptocurrency forecasting pipeline, a YOLOv8 and fuzzy-logic traffic control system, and an Ethereum-based counterfeit product verification platform. I’ve also built dashboards and monitoring interfaces with Streamlit and Flask for clear, real-time reporting.

I’m pursuing an integrated M.Tech in Computer Science and Engineering with a Data Science specialization at VIT. My research includes surveying 100+ papers on transformer-based genomic language models for precision medicine.

Experience

Work history, roles, and key accomplishments

Web Technology Intern

8Queens Software Technologies Pvt Ltd

May 2025 - Jun 2025 (1 month)

Built and deployed 5+ AI-integrated web modules using React.js, Node.js, and Supabase, reducing page load times by 25%. Designed and integrated 10+ RESTful API endpoints with MySQL, MongoDB, and Supabase to power dynamic features serving 1,000+ daily requests.

React Node Supabase REST APIs MySQL MongoDB Git Agile Low Code Automation

Education

Degrees, certifications, and relevant coursework

Vellore Institute of Technology (VIT)

Master of Technology, Computer Science & Engineering

2022 -

Grade: 8.10/10.0

Activities and societies: Relevant Coursework: Machine Learning, Artificial Intelligence, Deep Learning, Computer Vision, Natural Language Processing, Generative Models, Data Structures & Algorithms

Pursuing an integrated M.Tech in Computer Science and Engineering with a specialization in Data Science, maintaining a CGPA of 8.10/10.0.