Open to opportunities

Ankit Kumar

@ankitkumar58

Message

I build Python web applications and practical machine learning projects.

India

Message

What I'm looking for

I'm seeking an entry-level Software Developer role where I can build efficient and scalable applications using Python, Django, SQL, and machine learning.

I've built end-to-end Python projects including a TMDB movie recommender that processes 5,000+ movies and delivers top-5 recommendations through a Streamlit app. I used Pandas, NumPy, Scikit-learn, CountVectorizer, and Cosine Similarity for data cleaning, feature engineering, and recommendations.

I've also developed a Django restaurant management application with menu browsing, table booking, SQLite-backed models, and automated Mailtrap email confirmations, plus a BLIP-powered image captioning app using Hugging Face Transformers and Gradio. I'm seeking an entry-level Software Developer role where I can build efficient, scalable applications.

Experience

Work history, roles, and key accomplishments

GenAI Image Captioning Developer

Personal Project

Dec 2025 - Jan 2026 (1 month)

Developed an AI-powered image captioning system using the BLIP transformer model from Hugging Face. Integrated Hugging Face Transformers pipeline and engineered a Gradio UI delivering real-time captions in under 3 seconds.

Python Hugging Face Transformers Gradio BLIP Transfer Learning NLP

Restaurant Management Web Application Developer

Personal Project

Jul 2025 - Oct 2025 (3 months)

Developed a full-stack restaurant management web application using Django supporting menu browsing, table booking, and email notifications. Implemented Django MVT architecture across 5+ database models and integrated Mailtrap SMTP for automated email confirmations.

Python Django HTML CSS SQLite Mailtrap

Movie Recommender System Developer

Personal Project

Feb 2025 - May 2025 (3 months)

Built a content-based movie recommendation system on the TMDB dataset processing 5,000+ movies across 6 features. Implemented Count Vectorizer and Cosine Similarity to generate top-5 personalized recommendations and deployed an interactive Streamlit web app.