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AI Engineer with 1+ years in Generative AI & Full-Stack Development
I am an enthusiastic learner with a strong interest in modern technologies and Al-driven problem-solving. I enjoy exploring Machine Learning, Large Language Models, Generative Al, and intelligent automation. I actively exploring Agentic AI, Multi-Modal Al, and LLMOps workflows I am currently interning with Infosys Springboard 6.0, strengthening my Java fundamentals and learning Spring Boot to advance my backend and full-stack skills. I am also part of the HALFBRICK (MERN & Gen-AI) Bootcamp, working with hands-on projects using MERN and Gen-AI tools.
Government College of Engineering, Bargur, Krishnagiri
Bachelor of Engineering · Computer Science
January 1, 2022 – June 1, 2026
Vaani Matriculation Hr Sec School, Vaniyambadi
HSC
January 1, 2020 – January 1, 2022
Vaani Matriculation Hr Sec School, Vaniyambadi
SSLC
N/A – January 1, 2020
INFOSYS SPRINGBOARD 6.0
Java Technology Stack Intern
November 1, 2025 – Present
India
INFYNI
Generative AI Project-Based Learner
November 1, 2025 – Present
India
HALFBRICK
MERN Stack & Gen-AI Bootcamp
November 1, 2025 – Present
India
NeuroFleetX – AI-Powered Urban Mobility Optimization
June 1, 2025 – June 1, 2026
Developed a full-stack AI-driven fleet and urban mobility optimization system with dashboards, live vehicle monitoring, maintenance insights, and authentication. Implemented backend services using Spring Boot while actively exploring and learning advanced Java.
Fraud Detection using Neural Networks
June 1, 2025 – June 1, 2026
Created neural network models to detect fraudulent transactions and improved accuracy using feature engineering and classification techniques
PCA-Based Satellite Image Analysis
June 1, 2025 – June 1, 2026
Applied PCA on multispectral satellite images to reduce dimensionality and enhance visualization. Processed seven spectral bands, extracted principal components, and evaluated variance retention.
LLM Augmented Neural Cognitive Diagnosis
June 1, 2025 – June 1, 2026
Built a semantic-aware student knowledge modeling system combining text and image analysis using multi-modal LLMs. Extracted question semantics, concept mappings, and integrated them with NCDM to enhance cognitive diagnostic accuracy.
Google Cloud Engineering Certification
June 1, 2026 – Present
Python for Data Science at IBM
IBM
June 1, 2026 – Present
Google Cloud Data Analytics
June 1, 2026 – Present
Data Science and Machine learning for AI in Microsoft
Microsoft
June 1, 2026 – Present
Oracle Cloud AI and Data Science infrastructure
Oracle
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse academic projects and multiple internships/bootcamps (Infosys, Halfbrick, Infyni) indicate a proactive and curious mindset, which aligns well with a culture of innovation and continuous learning. Their interest in exploring various AI paradigms (Generative AI, Multi-Modal AI, Agentic AI) suggests adaptability and a broad technical curiosity. However, the experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates a strong enthusiasm for learning and problem-solving, as highlighted in their profile summary and active participation in multiple bootcamps and internships. Their academic background and project diversity suggest an ability to work across different technical domains. However, without direct interview data, it's difficult to assess specific operational fit aspects like teamwork, stress handling, or communication clarity in a collaborative environment.