RANIT GHOSH

AI Engineer

https://www.opentalent.in/ranit-ghosh

AI Engineer with less than a year in Java, Python, and Machine Learning.

Key Strengths

Academic projects demonstrate foundational understanding and practical application in Machine Learning and AI, specifically in disease prediction and recommendation systems using Python and Flask.
Internship experience at Euphoria Genx focused on AI-ML, including model deployment, feature engineering, and hyperparameter tuning, indicating exposure to the ML lifecycle.
Familiarity with core technologies relevant to AI engineering such as Python, Scikit-learn, and data structures.
Experience with full-stack development (Node.js, HTML, CSS, JavaScript) and Java (OOPs, Collections) from other projects and internships, suggesting a broader technical base.
The candidate's projects and internships align directly with the target role of an AI Engineer, demonstrating clear interest and some initial exposure to the field.

Cultural & Operational Fit

Cultural Fit Analysis

Psychometric test score is 0, providing no positive indication of cultural fit based on logical reasoning, work attitude, stress handling, or team collaboration. Further assessment is required.

Soft Skills & Operational Fit

Psychometric test score is 0, indicating a lack of demonstrated logical reasoning, work attitude, stress handling, or team collaboration skills. Further assessment is required to evaluate 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

About

Detail-oriented B.Tech Computer Science and Engineering student with an 8.59 CGPA. Strong foundation in Java, Python, SQL, and Pandas with expertise in full-stack development and machine learning. Proven track record in building scalable healthcare solutions using supervised learning and Node.js. Disciplined in Data Structures & Algorithms (DSA) and DBMS, focused on optimizing system performance.

Top Skills

JavaPythonNode.JsSQL

Education

Narula Institute of Technology, Kolkata

B.Tech · Computer Science and Engineering

August 1, 2022 – June 30, 2026

Katwa Bharati Bhaban H.S. School, Purba Bardhaman

Higher Secondary

June 1, 2020 – May 31, 2022

Experience

Infosys Springboard

Intern

February 1, 2026 – Present

Euphoria Genx

AI-ML Internship

December 1, 2025 – January 31, 2026

Projects

Disease Prediction and Medicine Recommendation

September 1, 2025 – December 31, 2025

Engineered a full-stack health-tech application that predicts diseases and recommends medications based on real-time symptom analysis. Scaled the system to recognize 40+ medical conditions, improving diagnostic speed for users. Integrated a robust backend with Flask, ensuring high-speed data processing and a seamless, user-centric interface.

Library Management System Website

March 1, 2025 – April 30, 2025

Developed a responsive Library Management System using HTML5, CSS3, and JavaScript, integrated with a Node.js backend. Implemented secure CRUD operations and data validation protocols to handle diverse book metadata and borrower records. Optimized data persistence and retrieval speeds by implementing structured schema design and asynchronous middleware.

Certifications

Java (Basic)

HackerRank

April 1, 2026 – Present

Oracle Certified Professional

Oracle

April 1, 2026 – Present

IBM SkillsBuild Winter Certification Program

CXRBOX

April 1, 2026 – Present

Internet of Things (IoT)

ARDENT

April 1, 2026 – Present

Key Strengths

Academic projects demonstrate foundational understanding and practical application in Machine Learning and AI, specifically in disease prediction and recommendation systems using Python and Flask.
Internship experience at Euphoria Genx focused on AI-ML, including model deployment, feature engineering, and hyperparameter tuning, indicating exposure to the ML lifecycle.
Familiarity with core technologies relevant to AI engineering such as Python, Scikit-learn, and data structures.
Experience with full-stack development (Node.js, HTML, CSS, JavaScript) and Java (OOPs, Collections) from other projects and internships, suggesting a broader technical base.
The candidate's projects and internships align directly with the target role of an AI Engineer, demonstrating clear interest and some initial exposure to the field.

Cultural & Operational Fit

Cultural Fit Analysis

Psychometric test score is 0, providing no positive indication of cultural fit based on logical reasoning, work attitude, stress handling, or team collaboration. Further assessment is required.

Soft Skills & Operational Fit