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AI Engineer with less than a year in Machine Learning & Generative AI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring AI and Data Science professional with hands-on experience in Python, Machine Learning, and Generative AI through internships and projects. Passionate about building practical AI solutions, learning new technologies, and solving real-world problems.
Met'S Institute Of Engineering
Bachelor of Engineering · Artificial Intelligence and Data Science
November 16, 2022 – June 29, 2026
Neuro Nexus Innovation
Machine Learning & Data Science Intern
April 14, 2026 – May 19, 2026
NetLeap IT Training and Solutions
Machine Learning & Data Science Intern
January 19, 2025 – February 26, 2025
India
AI-Powered Travel Recommendation System
January 20, 2025 – Present
Developed an AI-powered Travel Recommendation System that combines Sentence Transformers and XGBoost Learning-to-Rank (LTR) to deliver personalized destination recommendations. Built a two-stage recommendation pipeline featuring semantic retrieval, feature engineering, XGBoost Ranker reranking, model training, and inference workflows to improve recommendation relevance. Integrated Gemini LLMs for personalized itinerary generation and the OpenWeather API for real-time weather insights. Developed an interactive Streamlit application, containerized it using Docker, and deployed it on Hugging Face.
Cultural Fit Analysis
The candidate's profile shows a strong interest in practical AI solutions and a willingness to learn, which aligns well with an innovative and growth-oriented culture. Their diverse project portfolio, including recommendation systems, conversational AI, and computer vision, indicates adaptability and a broad interest in AI applications. The internships and academic background in AI and Data Science suggest a focused career path in AI engineering.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and applying new technologies, as evidenced by their project diversity and continuous skill acquisition. Their involvement in team-based projects and internships suggests an ability to collaborate, though specific examples of teamwork or problem-solving under pressure are not detailed. The publication and competition achievement indicate a drive for excellence and recognition.