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AI Engineer with less than a year in RAG systems & backend development using Python, Java & Spring B
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring AI Engineer and Software Developer with hands-on experience building AI-powered applications, Retrieval-Augmented Generation (RAG) systems, AI agents, and scalable backend solutions using Java, Spring Boot, Python, and modern AI frameworks. Strong foundation in Data Structures, Algorithms, Object-Oriented Programming, and software engineering principles with experience gained through internships, real-world projects, and solving 700+ coding problems.
KLN College of Engineering, Sivaganga
Bachelor of Engineering · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Siddhu Matric Higher Secondary School, Madurai
HSC
June 1, 2020 – May 31, 2022
Siddhu Matric Higher Secondary School, Madurai
SSLC
June 1, 2019 – May 31, 2020
PiBi Technologies
AI Product Developer Intern
March 1, 2026 – Present
India
E-Commerce Application (In Progress)
January 1, 2025 – Present
Developing a full-stack e-commerce application using Spring Boot and React. Building REST APIs for product, cart, and order management using JPA and Hibernate for database operations and entity mapping. Structured backend using layered architecture consisting of Controller, Service, and Repository layers, while testing APIs using Postman.
ConvoDoc - Conversational RAG Chatbot
January 1, 2024 – December 31, 2024
Built a multi-turn conversational RAG pipeline that allows users to upload and query PDF documents using natural language. Implemented history-aware retrieval using LangChain, FAISS vector database, and Groq-hosted Llama 3 to generate context-aware and grounded responses.
StockSense - AI-Powered Stock Analysis System
January 1, 2024 – December 31, 2024
Built a multi-agent stock analysis system using FastAPI, yfinance, and TA library to fetch market data and compute technical indicators including RSI, MACD, and Moving Averages. Integrated a News Sentiment Agent using Google News RSS and TextBlob NLP, while leveraging Groq-hosted LLaMA 3 to generate BUY, HOLD, and SELL recommendations.
ProLance - Service Booking Platform
January 1, 2023 – December 31, 2023
Built a full-stack service booking platform with dual-role authentication for users and service providers. Implemented service listings, booking workflows, and secure REST APIs using Spring Boot, React, and H2 Database.
Cultural Fit Analysis
The candidate's project diversity, ranging from AI-powered systems to full-stack web applications, indicates a broad interest and adaptability. The focus on AI-related projects aligns well with the target role of an AI Engineer. The mention of continuous learning and problem-solving as soft skills suggests a proactive and growth-oriented mindset, which is a good cultural fit for innovative tech environments. The candidate's academic background and competitive programming achievements also highlight a drive for excellence and a structured approach to learning.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving skills through competitive programming and project development. Collaboration and continuous learning are mentioned as soft skills, which are crucial for operational fit in a dynamic AI engineering role. The internship experience suggests an ability to contribute to team projects and enhance existing systems.