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AI & ML Intern with less than a year in Machine Learning & Data Science
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Nageswara Sai Molleti is an AI & ML Intern with 3 months of experience in developing and optimizing machine learning models using Python, Scikit-learn, and TensorFlow. Possessing a Bachelor of Technology in Computer Science and Engineering (Data Science), Nageswara has hands-on experience with data preprocessing, NLP models (LLaMA2), and creating data visualization dashboards. Equipped with strong technical skills in Python, SQL, and various ML libraries, Nageswara is passionate about building AI-driven solutions for real-world problems.
Avanthi Institute of Engineering & Technology
Bachelor of Technology · Computer Science and Engineering (Data Science)
August 1, 2021 – June 30, 2025
Don Bosco Junior College
Board of Intermediate Education
June 1, 2019 – May 31, 2021
Aimers
AI & ML Intern
June 1, 2023 – August 1, 2023
Vijayawada, Andhra Pradesh, India
NLP - Question Answering Using LLaMA2
June 1, 2026 – Present
Fine-tuned a Question Answering NLP model using Hugging Face datasets on LLaMA2 with Python and transfer learning. Applied tokenization and attention masking to optimize training efficiency, reducing memory usage and training time by 35%. Evaluated model performance using F1-score and Exact Match metrics to improve accuracy and reduce overfitting.
E-Commerce Website
June 1, 2026 – Present
Developed a responsive e-commerce website with optimized UI and seamless navigation. Implemented product listing and shopping cart functionality, improving user interaction speed by 40%. Ensured cross-browser compatibility and scalable front-end design.
AI Certification
AIMERS
June 1, 2026 – Present
Machine Learning
Indian Servers
June 1, 2026 – Present
Web Development
YHills
June 1, 2026 – Present
AI & ML Certification
APSSDC
June 1, 2026 – Present
Salesforce Internship Certification
Smart Internz
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and internship demonstrate a clear focus on AI/ML, aligning well with the target role. The academic projects show initiative and practical application of learned skills. The certifications further reinforce a commitment to the field. The e-commerce project, while not directly AI/ML, shows a breadth of technical interest and ability to deliver functional applications.
Soft Skills & Operational Fit
The candidate highlights strong leadership, teamwork, and communication skills, along with adaptability. These traits are beneficial for collaborative AI/ML projects and agile environments. The internship experience also mentions collaboration with cross-functional virtual teams, indicating operational fit.