NELATURI MADHU
Fullstack EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Fullstack Engineer with less than a year in Python, Django, and MySQL for web development.
Madhu Nelaturi is an aspiring Fullstack Engineer with a strong foundation in Python, Django, and MySQL, complemented by skills in JavaScript, HTML, and CSS. As a Virtual Intern at AICTE, Madhu built full-stack modules and implemented key features, demonstrating practical application of theoretical knowledge. With experience in developing personal projects like a Recipe Discovery Platform and an Event Booking Portal, Madhu showcases an ability to design robust database schemas and build functional, scalable web applications. Madhu is currently pursuing a B.Tech in Computer Science (Data Science) and is actively looking for opportunities in full-stack development.
Malla Reddy University, Hyderabad
B.Tech · Computer Science (Data Science)
August 1, 2023 – June 30, 2027
Sri Saraswati Junior College
Intermediate Education
June 1, 2021 – May 31, 2023
Z.P. High School, Kancharlavari Palli
Secondary School Certificate
June 1, 2010 – May 31, 2021
AICTE
Python Full Stack Developer
January 1, 2026 – Present
India
Recipe Rover Website
September 1, 2025 – January 1, 2026
Built a recipe discovery platform using Django and MySQL with multi-attribute search filters (e.g., by ingredient, cuisine, prep time). Designed a MySQL schema to store and categorize recipes across multiple categories, with Python scripts to parse and normalize inconsistent ingredient/data formats into a structured format.
Event Booking Portal
April 1, 2025 – August 1, 2025
Built a multi-tier event booking application (Django + MySQL) supporting concurrent user registrations across multiple events. Prevented double-booking by enforcing unique constraints on seat/time pairs and using database transactions/row locking, verified through concurrent test requests. Designed a relational schema with multiple tables (events, users, bookings) supporting real-time seat/slot availability checks.
Introduction to Algorithms and Analysis
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects (Event Booking Portal, Recipe Rover Website) demonstrate initiative and practical application of learned skills. The internship at AICTE aligns with industry-standard development practices. The focus on Python/Django for full-stack roles indicates a clear career path. The breadth of skills is somewhat narrow, primarily centered around the Python/Django ecosystem, which might limit adaptability to diverse tech stacks without further upskilling.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured development tasks and collaborate using version control. The focus on personal projects and an internship suggests a proactive learning attitude. However, without psychometric or English test results, a comprehensive assessment of soft skills, stress handling, and team collaboration is not possible.