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Fullstack Engineer with less than a year in Web Development & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am an enthusiastic and dedicated B.Tech student at KIIT University with a strong interest in web development and machine learning. I enjoy building practical solutions, learning new technologies, and refining my skills through consistent hands-on practice. I am eager to contribute to challenging, growth-oriented environments where I can continue to learn and add value.
KIIT University
Bachelor of technology
July 1, 2023 – Present
KIIT International School
Senior Secondary School Examination
April 1, 2020 – June 1, 2022
SBD International School
Secondary School Examination
March 1, 2017 – March 1, 2020
ISOAH - Indian School Of Anti Hacking
Engineer Intern
May 1, 2026 – June 1, 2026
Kolkata, West Bengal, India
Vulnerable Web Application
June 1, 2025 – June 1, 2026
Collaborated in a team to develop a deliberately vulnerable web application using Next.js, Node.js, Express.js, and a simulated database to explore cybersecurity concepts. Contributed mainly to backend logic, testing workflows, and implementing reset functionality for repeatable experimentation.
Social media website Mizu - Real-Time Chat Application
June 1, 2025 – June 1, 2026
Developed a scalable full-stack real-time chat platform using Next.js, Node.js, Express.js, Socket.IO, and PostgreSQL. Implemented real-time messaging, image sharing, and authentication features with optimized client-server communication and responsive UI rendering. Focused on performance, clean architecture, and production-ready deployment practices.
Low light Image enhancement system
June 1, 2025 – June 1, 2026
Developed a CNN-based image enhancement model to improve visibility in low-light conditions. Implemented preprocessing and an encoder-decoder architecture to enhance brightness, contrast, and details, producing clearer and more usable images.
Cybersecurity NLP-Based Fraud Detection System
June 1, 2025 – June 1, 2026
Developed an NLP-based cybersecurity system to detect fraudulent messages by analyzing text patterns and intent. Integrated WHOIS API to evaluate URL attributes such as domain age and reputation, enhancing phishing detection accuracy and overall system reliability.
Coursera's Supervised Machine Learning: Regression and Classification
Coursera
June 1, 2026 – Present
JAVA Bootcamp Zero to Hero
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interests, from full-stack web development to machine learning and cybersecurity. This diversity suggests an adaptable and curious individual. The collaborative nature of some projects (e.g., Vulnerable Web Application) indicates a willingness to work in teams. The target role of Fullstack Engineer aligns with the candidate's primary project focus, but the strong ML background also suggests potential for cross-functional contributions. The candidate is still a student, which implies a learning-oriented mindset, fitting well into a culture that values continuous improvement.
Soft Skills & Operational Fit
The candidate's summary highlights enthusiasm, dedication, and a proactive approach to learning and problem-solving. Project descriptions indicate collaborative work and a focus on performance and clean architecture. However, without specific behavioral assessment data, it's difficult to fully assess operational fit, stress handling, or advanced team collaboration skills.