AI Engineer with less than a year in Machine Learning & NLP
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Assessing your cultural and operational fit
AI & ML Engineer with 8 months of hands-on experience in developing and optimizing machine learning models for various tasks including image classification and text classification. Proficient in Python, Java, C++, and frameworks like React, with a strong foundation in deep learning and natural language processing. Eager to apply skills in real-world scenarios and contribute to innovative AI solutions.
Manav Rachna University
Bachelors · Computer Science with AI & ML Specialization
August 1, 2022 – July 1, 2026
R.P.S SEN SEC SCHOOL
12th
April 1, 2021 – June 1, 2022
R.P.S SEN SEC SCHOOL
10th
April 1, 2019 – May 1, 2020
Xebia IT Architects India
Machine Learning Intern
July 1, 2025 – December 1, 2025
Gurgaon, Haryana, India
CODSOFT
AI & ML Intern
July 1, 2024 – August 1, 2024
Gurgaon, Haryana, India
Smart Home Security System (Face Recognition & Gesture Control)
June 24, 2026 – Present
Developed a contactless smart security system using real-time face recognition. Implemented OpenCV with Haar Cascade classifiers for face detection. Integrated MediaPipe for gesture-based access control and emergency alerts. Designed a real-time monitoring and event logging dashboard.
My Mentor Chatbot - AI Student Support System
June 24, 2026 – Present
Built an NLP chatbot using transformer-based sentence embeddings. Developed using Python and Streamlit for real-time interaction. Automated student query handling with integrated university policies.
Ethics in Engineering Practice
NPTEL (GOVT of India)
June 1, 2026 – Present
NLP with Python for Machine Learning Essential Training
June 1, 2026 – Present
Introduction to Industry 4.0 and Industrial Internet of Things
NPTEL (GOVT of India)
June 1, 2026 – Present
Machine Learning and AI Foundations: Classification Modeling
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and internships show a strong interest and foundational experience in AI/ML, aligning well with an AI Engineer role. The diversity of projects (computer vision, NLP chatbot, image classification) indicates a broad interest within the AI domain. The certifications further demonstrate a proactive approach to learning and skill development, which is a positive indicator for cultural fit in a growth-oriented environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on self-directed projects and apply learned concepts. The internship experiences suggest an ability to contribute to structured ML development tasks. However, there is insufficient data to assess specific soft skills like teamwork, leadership, or stress handling.