
AI/ML Engineer Intern with less than a year in machine learning, deep learning, NLP, and data analyt
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Final-year B.Tech student in Artificial Intelligence and Data Science with hands-on experience in machine learning, deep learning, NLP, and data analytics. Skilled in Python, SQL, Power BI, and AI model development. Strong foundation in data structures, problem solving, and software development with experience in real-world projects.
Sri Ramakrishna Engineering College
Bachelor of Technology · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
Sri Gopal Naidu Higher Secondary School
Higher Secondary Certificate (HSC)
June 1, 2022 – May 31, 2022
Sri Gopal Naidu Higher Secondary School
Secondary School Leaving Certificate (SSLC)
June 1, 2020 – May 31, 2020
AEGIIS Technologies
AI/ML Intern
October 1, 2025 – Present
India
Sentiment Analysis on Social Media Presence
June 1, 2026 – Present
Developed an NLP-based sentiment classification model using Python and Scikit-learn Performed text preprocessing and feature extraction (tokenization, TF-IDF) Trained machine learning models and evaluated performance for accurate prediction
Development of AI/ML Based Solution for Detection of Face-Swap Based Deep Fake Videos
June 1, 2026 – Present
Built a deep learning model to detect face-swap based manipulated videos Processed video frames using OpenCV for feature extraction and preprocessing Applied CNN architecture for classification of real vs fake video content
Web-Based 2d Image-to-3D model Reconstruction Using Cross-Domain Diffusion
June 1, 2026 – Present
Developed a system to reconstruct 3D models from 2D images using diffusion techniques Applied computer vision methods and transformer-based stereo networks for depth estimation Implemented multi-view reconstruction and alignment for improved 3D accuracy
Fundamentals of Deep Learning
NVIDIA
June 1, 2026 – Present
Building Real-Time Video AI Applications
NVIDIA
June 1, 2026 – Present
AI/ML for Geodata Analysis
Indian Space Research Organisation
June 1, 2026 – Present
Data Analytics using Power BI (End-to-End Project)
Unknown
June 1, 2026 – Present
Artificial Intelligence, Natural Language Processing (NLP), and Computer Vision Training
Unknown
June 1, 2026 – Present
Database Management Systems (DBMS) and SQL Fundamentals
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and foundational knowledge in core AI/ML domains, aligning well with an AI/ML Engineer Intern role. The diversity of projects (NLP, Computer Vision, 3D Reconstruction) and certifications from reputable organizations (NVIDIA, ISRO) indicate a proactive learning attitude and broad exposure to different AI applications. The internship, while not exclusively AI/ML focused, provides exposure to general software development lifecycle, which is a positive for cultural integration into a development team.
Soft Skills & Operational Fit
The candidate's resume indicates participation in team activities (Patrol Leader, NSS Volunteer), suggesting an ability to collaborate and take initiative. The internship description mentions 'Collaborated in understanding software development lifecycle and deployment,' which implies an operational fit for team environments. However, specific examples of problem-solving, stress handling, or advanced teamwork are not detailed.