AI Engineer with less than a year in AI/ML development and React-based frontend.
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AI/ML developer with hands-on experience building and deploying Al-powered applications using Python, LLMs, and RAG techniques. Built DocuMind a RAG-based Al assistant using LangChain, ChromaDB, and Groq LLaMA, deployed live on Streamlit Cloud. Completed degree May 2024; spent subsequent months upskilling in GenAl and building independent Al projects before joining MicroObjects in August 2025. Experienced in React-based frontend development and API integration.
APJ Abdul Kalam Technological University
Bachelor of Computer Science and Engineering · Computer Science and Engineering
August 1, 2020 – June 30, 2024
MicroObjects Pvt Ltd
Apprentice Trainee
August 1, 2025 – Present
Cochin, Kerala, India
DocuMind
June 21, 2026 – Present
Built and deployed a RAG-based AI assistant that answers questions from uploaded PDF documents using LangChain, HuggingFace embeddings, ChromaDB vector storage, and Groq LLaMA 3.3 for context-aware answer generation. Implemented document ingestion pipeline with smart chunking, semantic search, and per-PDF ChromaDB collections ensuring accurate retrieval and zero data mixing across documents. Deployed live on Streamlit Cloud with session state management, chat history, smart PDF caching, and auto-clear UI.
View ProjectAI Stock Research Tool
June 21, 2026 – Present
Built and deployed a real-time AI stock research app with BUY/HOLD/SELL signals, RAG-based LLM analysis, and stock comparison feature. Integrated live market data, news sentiment, MA7/MA30 moving averages, and volume charts analysed 50+ stocks across US and Indian markets
View ProjectHeart Disease Prediction
June 21, 2026 – Present
Built and compared Logistic Regression, KNN, and Random Forest models for clinical diagnostic prediction. Achieved 88% accuracy and 84% cross-validation score using Logistic Regression.
View ProjectArtificial Intelligence Essentials V2
Coursera
January 1, 2026 – Present
Complete A.I. & Machine Learning Bootcamp
Udemy
January 1, 2025 – Present
Google Data Analytics Professional Certificate
Coursera
January 1, 2024 – Present
Cultural Fit Analysis
The candidate shows a strong interest in AI/ML through diverse personal projects (RAG assistants, stock analysis, disease prediction). The current role as an Apprentice Trainee in React development, while demonstrating versatility, is not directly aligned with the target AI Engineer role. The breadth of skills includes both AI/ML and frontend development, which could be beneficial for full-stack AI applications but also indicates a less focused career path at this early stage. The project diversity is good, but the professional experience is not yet deeply specialized in AI.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to take initiative and complete projects from conception to deployment. The personal projects demonstrate problem-solving skills and a practical approach to applying AI concepts. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.