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AI Engineer with less than a year in NLP & Generative AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI-focused developer with hands-on experience building NLP and Generative AI applications including RAG-based document question answering systems, chatbots, and sentiment analysis models. Skilled in Python, embeddings workflows, prompt engineering, and AI application integration. Seeking an AI/ML internship to contribute to real-world product development in a startup or engineering environment.
Swami Dayananda College of Arts and Science
Bachelor of Business Administration (BBA) · Business Administration
N/A – June 1, 2025
CSC, Kumbakonam
HDCA · Programming Focus
N/A – October 1, 2023
Swami Dayananda College of Arts and Science
IECD · Food Nutrition & Home Care Product Chemistry
N/A – June 1, 2023
Analyti.AI – AI-Powered Semantic Search Engine
June 24, 2026 – Present
(Concept & Architecture Design – In Progress)
RAG-Based PDF Question Answering System
June 24, 2026 – Present
Built a RAG pipeline for PDF documents using chunking, embeddings, vector retrieval, and context-aware AI responses.
View ProjectSentiment Analysis Model
June 24, 2026 – Present
Implemented ML-based text classification using NLP preprocessing, tokenization, and feature extraction to predict sentiment polarity.
NLP Chatbot System
June 24, 2026 – Present
Developed an intent-driven chatbot using Python with structured response logic and conversation flow design.
Craww - Hackathon Web Platform
June 24, 2026 – Present
Created a responsive event website platform handling UI flow, structure, and backend logic.
AI Prompt Engineering Story System — “Whispers of the Hidden Prince”
June 24, 2026 – Present
Designed structured prompts to control tone, narrative flow, and consistency in AI-generated storytelling.
AI Engineer Path
Scrimba
January 1, 2025 – Present
Advanced Prompt Engineering Techniques
LinkedIn Learning
January 1, 2025 – Present
Prompt Engineering Applications
Simplilearn
January 1, 2025 – Present
R Programming
Programming Hub
January 1, 2025 – Present
Python & C++ Programming
Programming Hub
January 1, 2023 – Present
HTML & CSS Fundamentals
Programming Hub
January 1, 2022 – Present
Cultural Fit Analysis
The candidate shows a strong passion for AI/ML through diverse personal projects (RAG, sentiment analysis, chatbots, prompt engineering) and numerous certifications. This aligns well with an innovative, learning-oriented culture often found in AI/ML startups. The mention of hobbies like reading research articles and listening to educational podcasts further supports a self-driven learning attitude. However, the lack of professional experience means their ability to collaborate in a corporate setting and adapt to established workflows is unproven.
Soft Skills & Operational Fit
The candidate's profile highlights problem-solving, critical thinking, and decision-making as core skills. Project descriptions indicate an ability to design structured solutions (e.g., intent-driven chatbot, structured prompts). Participation in competitions (Data Classification Winner, Connection Competition Runner-up) suggests a competitive drive and ability to deliver results. However, without direct work experience, the operational fit in a team environment and handling real-world project constraints is yet to be validated.