B.Tech Information Technology student at Nandha Engineering College (CGPA 7.675) with 3x Oracle Cloud & GenAI Certifications. Passionate about architecting resilient REST APIs, clean database designs, and production-ready full-stack applications.
A dedicated developer driven by building robust backend architectures, high-efficiency API layers, and AI-enabled software solutions.
Currently pursuing B.Tech in Information Technology at Nandha Engineering College (2024 - 2028). I bring hands-on experience developing end-to-end full-stack applications with secure JWT/session authentication, database schema modeling, and RESTful API engineering.
My journey bridges strong algorithmic fundamentals in Java and Python with modern web ecosystems like Node.js, Express, MongoDB, and SQL. As an Oracle Certified Generative AI Professional and Cloud Architect Associate, I am enthusiastic about applying AI and cloud-native practices into production code.
A balanced tech stack combining object-oriented programming, modern backend architectures, databases, and certified cloud AI knowledge.
Object-oriented programming, data structures, backend service logic, and algorithmic problem solving.
Scripting, API integrations, data processing, backend automation, and algorithmic workflows.
Designing scalable HTTP endpoints, structured JSON payloads, status code conventions, and CRUD operations.
Asynchronous event-driven web servers, middleware configuration, session management, and routing.
Document database schema modeling, aggregation pipelines, dynamic queries, and high-velocity data storage.
Relational database design, table normalization, complex JOIN queries, indexing, and data integrity constraints.
Certified understanding of LLMs, prompt engineering, fine-tuning concepts, and AI model deployment on OCI.
Certified in VCN networking, compute instances, object storage, identity access management, and cloud architecture.
Version control, branch management, collaborative pull requests, merge conflict resolution, and repo workflows.
API documentation, endpoint debugging, payload verification, environment variables, and modern IDE tooling.
Practical industry experience applying software engineering concepts to production modules and API integrations.
End-to-end full-stack systems built with clean architectures, real-time data integrations, and localized user accessibility.
Full-Stack Mobile App
A comprehensive mobile application developed to provide hyper-local city and GPS-based rainfall predictions alongside real-time reservoir metrics and disaster warning alerts.
IoT & Resource Management
A real-time telemetry monitoring system engineered to empower agricultural planning and municipal water resource conservation with dynamic analytics.
Industry-recognized certifications in Oracle Cloud Infrastructure, Generative AI, software architecture, and programming fundamentals.
Demonstrates specialized proficiency in large language model (LLM) architectures, prompt engineering, fine-tuning mechanisms, embeddings, and enterprise generative AI solutions on OCI.
Validates fundamental knowledge in Artificial Intelligence, Machine Learning concepts, Deep Learning algorithms, and computer vision / natural language processing workflows.
Certifies comprehensive knowledge in designing distributed cloud architectures, virtual cloud networks (VCN), compute infrastructure, storage security, and disaster recovery.
Awarded upon successful completion of industry training in web application engineering, REST API integrations, version control with Git, and software deployment fundamentals.
Comprehensive certification covering clean code principles, code readability, algorithmic complexity optimization, and software development etiquettes.
Whether you have an entry-level software opportunity, internship position, or project discussion, feel free to reach out directly.