Amit Kumar

Accomplished Software Engineer at BlueStock, proficient in Java and Python, with a proven track record of enhancing software quality through code reviews. Leveraged analytical thinking and teamwork to resolve complex technical issues, contributing to a 20% increase in system efficiency. Skilled in Django and AWS, committed to delivering innovative solutions.

• AWS Academy Graduate – AWS Academy Machine Learning Foundations.
• Google Professional Data Analytics – (Enhanced) Specialized in data cleaning, visualization, and R programming.
• NVIDIA Deep Learning Institute – (Enhanced) Fundamentals of Deep Learning for Computer Vision.
• Meta Back-End Developer Professional – (Enhanced) Mastered API development, Django, and database management.
• DBMS Course – Master the Fundamentals and Advanced Concepts (ScalerTopics).
• Networking Basics – Cisco Networking Academy.
• Wireless 5G Overview – Infosys.
• Object Oriented Programming in C++ – Udemy.

• Social Impact Recognition: Developed a research-based model for cervical cancer detection to improve healthcare accessibility.
• Technical Proficiency Milestone: Successfully earned the AWS Academy Graduate badge in Machine Learning Foundations.
• Future Tech Early Adopter: Recognized by Infosys for completing specialized training in Wireless 5G Technology.
• Advanced Fundamentals Mastery: Achieved master-level completion in DBMS and OOP in C++.

Risk Prediction Model for Cervical Cancer (Research)

• Developed a cost-effective, data-driven risk prediction model to enable early detection in underserved areas.
• Leveraged machine learning to provide timely intervention solutions for regions with limited medical access.

AI Powered Task Manager

• Engineered an intelligent system to organize tasks by integrating contacts, emails, and contextual constraints.
• Automated scheduling and prioritization using adaptive learning and personalized recommendations.

Real-Time Sentiment Analysis Dashboard

• Built a Flask-based web application to analyze live social media sentiment using Natural Language Processing (NLP).
• Visualized data trends to help brands understand customer feedback with over 85% accuracy.

Cloud-Integrated E-Commerce Backend

• Designed a robust backend architecture using Django and MySQL for secure user authentication and order processing.
• Deployed the system on AWS to ensure high availability and scalable data management.