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10julypoints User

@10julypointsuser

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Aspiring AI/ML intern combining Python, ML pipelines, and data analysis to build accurate, real-world NLP-ready models.

India

Message

What I'm looking for

I’m looking for an AI/ML internship where I can build and deploy real-world models end-to-end, strengthen ML evaluation skills, and explore NLP/LLMs while working with clean engineering practices and supportive teammates.

I’m an aspiring AI/ML intern with a strong foundation in Python, machine learning, and data analysis, and a growing interest in NLP and large language models. I focus on turning messy data into reliable features, then shipping end-to-end ML workflows.

In my current role, I develop and deploy machine learning models for real-world applications and run exploratory data analysis (EDA) using Python with Pandas and NumPy. I also implement end-to-end ML pipelines—preprocessing, training, and evaluation—and have improved model accuracy by 15–20% using ML techniques.

Earlier, I worked as a Backend Developer Intern where I designed RESTful APIs to improve scalability, optimized SQL queries for faster data retrieval, and integrated backend services with the frontend. I’ve also built projects like a Titanic survival prediction model and a full-stack HRMS app (React, Node.js, Express.js, MongoDB), which sharpened my ability to deliver practical, production-minded solutions.

Experience

Work history, roles, and key accomplishments

Current

AI & Machine Learning Intern

Current

Evoastra Ventures Pvt Ltd

Jan 2026 - Present (5 months)

Developing and deploying machine learning models for real-world applications and conducting exploratory data analysis using Python. Implemented end-to-end ML pipelines and improved model accuracy by 15–20%.

Python Machine Learning data preprocessing Machine Learning Pipelines Model Evaluation Pandas NumPy scikit learn

Backend Developer Intern

Ethnocart Pvt Ltd

Jul 2025 - Aug 2025 (1 month)

Designed and developed RESTful APIs to improve system scalability and integrated backend with frontend services. Optimized SQL queries to enhance data retrieval efficiency while following clean code and Git version control best practices.