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AI Engineer with less than a year in full-stack development, data analysis, and machine learning pro
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated entry-level AI Engineer with hands-on experience in full-stack development (React, Node.js, MongoDB) and data analysis. Proficient in Python, Pandas, TensorFlow, and various NLP/ML techniques. Successfully contributed to projects like a hybrid fashion recommender, conversational AI chatbot, and a data validation pipeline for supply chain management. Eager to apply technical skills and collaborative spirit to innovative software development and AI initiatives.
Don Bosco Institute of Technology
Bachelor of Engineering (B.E) · Computer Science and Engineering
August 1, 2022 – June 30, 2025
Government Polytechnic, K.R. Pet
Diploma
August 1, 2016 – June 30, 2019
Sri Sathya Sai Sharadhanikethanam
SSLC
June 1, 2015 – May 31, 2016
FiveM Infotech Solutions
Intern Developer (Current)
October 1, 2025 – Present
Mumbai, Maharashtra, India
Rooman Technologies
AI Data Analyst Intern
September 1, 2024 – February 1, 2025
Bengaluru, Karnataka, India
Fashion Recommender System
January 1, 2025 – December 31, 2025
• Built a hybrid fashion recommendation system using ResNet50 for image feature extraction. • Implemented K-Nearest Neighbors (KNN) to identify and recommend visually similar fashion items. • Preprocessed image datasets and trained deep learning models using TensorFlow (tf.keras). • Developed an interactive Streamlit interface for real-time fashion recommendations.
Conversational AI Chatbot
January 1, 2024 – December 31, 2024
• Developed a conversational AI chatbot using the LangChain framework integrated with Large Language Models. • Enabled context-aware and natural language conversations through prompt engineering and NLP techniques. • Deployed the chatbot using Streamlit to provide interactive user engagement.
Data Validation and Standardization in Supply Chain Management
January 1, 2024 – December 31, 2024
• Designed and implemented a data validation pipeline to standardize supplier data. • Identified and resolved data inconsistencies to improve data quality and reliability. • Built a Streamlit-based interface for validating and monitoring supply chain datasets.
Cultural Fit Analysis
The candidate's academic projects show a strong interest in AI/ML applications, aligning well with an AI Engineer role. The diversity of projects (recommender systems, chatbots, data validation) indicates a broad curiosity and willingness to explore different domains within AI. The internship experience, while not directly AI-focused, demonstrates adaptability and a desire to gain practical software development experience. The candidate's educational background in Computer Science and Engineering further supports a foundational fit for technical roles.
Soft Skills & Operational Fit
The candidate lists Communication, Team Collaboration, Leadership, and Problem Solving as soft skills. Project descriptions indicate collaboration (e.g., 'Collaborating with the team' in current internship) and problem-solving (e.g., 'Identified and resolved data inconsistencies'). The academic projects demonstrate initiative and independent problem-solving. The current internship, though brief, suggests an ability to integrate into a team and contribute to development workflows.