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AI Engineer with less than a year in AI/ML and Generative AI.
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Assessing your cultural and operational fit
AI/ML Intern with hands-on experience in data preprocessing, feature engineering, model training, and evaluation. Developed a Retrieval-Augmented Generation (RAG) based medical chatbot, a developer activity management system using Django, and a content-based movie recommendation system. Proficient in Python, Machine Learning, Generative AI & Vector Search, and various backend frameworks and tools.
Madan Mohan Malaviya University of Technology, Gorakhpur
B.Tech · Computer Science Engineering
August 1, 2022 – June 30, 2025
Innovexis
AI/ML Intern
March 1, 2026 – June 1, 2026
India
Movie Recommendation System
June 1, 2026 – Present
Built a content-based movie recommendation system using TMDB dataset (5500+ movies), generating top-5 similar movie suggestions based on genres, keywords, and cast similarity using Bag of Words and cosine similarity. Performed data preprocessing (missing values handling, JSON parsing, text normalization), improved recommendation quality via feature engineering, and deployed an interactive Streamlit app evaluated using Precision@10.
View ProjectMediBot - AI Medical Chatbot
June 1, 2026 – Present
Developed a Retrieval-Augmented Generation (RAG) based medical chatbot to answer user queries using medical PDF documents as a knowledge source. Extracted and processed PDF data by performing text chunking and generating vector embeddings using Hugging Face sentence-transformers. Implemented semantic search using FAISS to retrieve contextually relevant medical information for each query. Integrated Groq-hosted LLaMA model for fast and context-aware response generation. Deployed the application using GitHub and Render with secure environment-based API key management. Evaluated chatbot performance using RAGAS framework, achieving Faithfulness score of 0.87 and Answer Relevancy of 0.91.
View ProjectDeveloper Activity Management System
June 1, 2026 – Present
Designed RESTful APIs using Django REST Framework to manage developer activities, repositories, commits, and contribution analytics. Built a normalized PostgreSQL database schema for journals, goals, code snippets, and skill tracking. Integrated GitHub API and token-based authentication to synchronize repository data, commit history, and contribution statistics. Developed a Markdown-enabled journaling system for structured tracking of coding activities and learning progress.
View ProjectNPTEL Competitive Programming Course
NPTEL
June 1, 2026 – Present
NPTEL Introduction to Machine Learning Course
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a strong interest and initiative in AI/ML, which aligns well with an AI Engineer role. The diversity of projects (chatbot, recommendation system, developer activity management) indicates a broad technical curiosity and ability to apply skills across different domains. The personal nature of most projects suggests self-motivation and a passion for technology. The academic background in Computer Science Engineering further strengthens the fit.
Soft Skills & Operational Fit
The candidate demonstrates good problem-solving skills through project implementations. The detailed project descriptions suggest an ability to articulate technical concepts clearly. The focus on AI/ML projects aligns well with an AI Engineer role, indicating a proactive and self-driven learning attitude. However, without specific behavioral assessment data, it's difficult to fully assess collaboration, stress handling, or leadership potential.