AI Engineer with less than a year in Data Engineering & AI Engineering
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I am a passionate and driven individual with a strong interest in Data Engineering and AI Engineering. With a solid foundation in AI and Data Science, I specialize in building efficient data pipelines, scalable storage solutions, and real-time data processing systems for large-scale datasets.
Sethu Institute of Technology
B.Tech · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
Fusco's Matric Higher Sec School
HSC
June 1, 2021 – May 31, 2022
Fusco's Matric Higher Sec School
SSLC
June 1, 2019 – May 31, 2020
GenLab
AI Product Development Intern
March 1, 2026 – Present
Nāgercoil, Tamil Nadu, India
Vaidsys Technologies
Artificial Intelligence Intern
June 1, 2025 – July 31, 2025
Madurai, Tamil Nadu, India
Kalanjiyam Technical Solution
Junior software Developer Intern
August 1, 2024 – November 30, 2024
Madurai, Tamil Nadu, India
Tarcin Robotics LLP
Full Stack Developer Intern
January 1, 2024 – February 29, 2024
Madurai, Tamil Nadu, India
AI-Based Transport Management System
March 1, 2026 – June 30, 2026
Designed a scalable architecture with user flows and feature modules; developed a Flutter-based UI; structured APIs and Firebase database schema; optimized features and MVP planning for efficient product delivery .
Multi-Modal RAG Knowledge Assistant
June 1, 2025 – July 31, 2025
Designed a RAG pipeline integrating vector embeddings, semantic search, and LLM-based response generation for domain-specific Q&A
Sequence Modeling for Text Intelligence
June 1, 2025 – July 31, 2025
Developed an LSTM-based NLP model with tokenization, embeddings, and contextual learning for accurate text prediction
AI-Powered Speech Assistant
August 1, 2024 – November 30, 2024
Developed a Python-based assistant using NLP and LSTM, integrated speech recognition and TTS, and enhanced responses using RAG architecture
Skin Disease Detection
August 1, 2024 – November 30, 2024
Built a CNN-based deep learning model with image preprocessing, feature extraction, and prediction pipeline
E-Commerce Web Application
January 1, 2024 – February 29, 2024
Developed a full-stack system with user authentication, cart functionality, and REST API integration
Housing Price Prediction System
January 1, 2024 – February 29, 2024
Built an end-to-end ML pipeline with data preprocessing, model training, and front-end deployment
HTML
GUVI
August 1, 2024 – Present
CSS
GUVI
August 1, 2024 – Present
Cloud Computing
NPTEL
July 1, 2024 – Present
Software Testing
NPTEL
July 1, 2024 – Present
Machine Learning
Infosys Springboard
January 1, 2024 – Present
Deep Learning
Infosys Springboard
January 1, 2024 – Present
Python
Infosys Springboard
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a diverse range of applications, from AI-based transport management to multi-modal RAG assistants and skin disease detection, indicating a broad interest in applying AI across various domains. Their internships cover AI product development, AI research, and full-stack development, suggesting a versatile and adaptable approach to learning and contributing. The target role of 'AI Engineer' aligns well with their educational background and project experience, particularly in LLMs, NLP, and deep learning. The certifications in Cloud Computing, Software Testing, ML, and DL further demonstrate a commitment to continuous learning and skill development, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate demonstrates strong documentation reading skills, is a quick learner, and has problem-solving abilities. Their experience in team collaboration and Scrum indicates a good operational fit for agile development environments. The project diversity suggests adaptability and a willingness to tackle different technical challenges.