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Software Engineer with less than a year in AI/ML & Web Development
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Motivated Computer Science graduate with a strong foundation in full-stack development and a deep passion for Artificial Intelligence and Machine Learning. Experienced in building AI-powered applications using LLMs, LangChain, HuggingFace Transformers, and vector databases. Eager to leverage both software engineering skills and AI expertise to build intelligent, scalable systems in a forward-thinking organization.
Holy Mary Institute of Technology and Science
BTech · Computer Science
December 1, 2021 – May 1, 2025
Narayana Junior College
Board of Intermediate
June 1, 2019 – March 1, 2021
Unknown Company
Software Developer Intern
May 1, 2025 – August 1, 2025
India
AI-Powered Medical Chatbot
June 1, 2026 – Present
• Built an end-to-end Retrieval-Augmented Generation (RAG) medical chatbot that answers health queries from a knowledge base of 11,700+ vector embeddings. • Implemented a document ingestion pipeline using HuggingFace sentence transformers to convert medical PDFs into searchable vectors stored in Pinecone. • Designed a conversational AI pipeline with LangChain + OpenAI GPT for accurate, context-aware medical responses. • Containerized with Docker and configured CI/CD via GitHub Actions for automated deployment on AWS EC2 using Amazon ECR.
AI Text Summarizer
June 1, 2026 – Present
• Built an AI-powered text summarization web app using the distilBART-CNN model from HuggingFace Transformers. • Implemented an NLP summarization pipeline to condense long articles and documents into concise summaries instantly. • Designed an interactive Gradio UI with adjustable summary length controls for a seamless user experience.
Hospital Management System
June 1, 2026 – Present
• Developed a system to digitize staff onboarding, patient intake, and appointment scheduling. • Built secure authentication and role-based access control using Spring Security. • Designed RESTful APIs with token-based authentication for seamless frontend integration.
Java Full Stack Certification
Frontlines Edutech
June 1, 2026 – Present
Linux Certification
Frontlines Edutech
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in both traditional software engineering and emerging AI/ML fields, indicating adaptability and a proactive learning attitude. The diversity of projects (Hospital Management, AI Text Summarizer, Medical Chatbot) suggests a broad interest in applying technical skills to different domains. The career objective aligns well with roles seeking individuals passionate about building intelligent, scalable systems.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted systems, suggesting good problem-solving and project management skills. The mention of collaboration in Agile teams points to teamwork capabilities. However, without direct assessment data, these are inferred from project descriptions.