G. SIVA BALAN
AI EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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 Engineer with less than a year in full-stack web development and AI-powered systems, eager to con
MCA graduate from RV College of Engineering with hands-on experience designing and shipping full-stack web applications and AI-powered systems using Python, Flask, MySQL, and modern Large Language Models. Comfortable across the stack — from responsive front ends in HTML, CSS, and JavaScript to cloud deployment on AWS and secure authentication workflows. Eager to contribute to Xevyte Technologies' work in digital engineering, AI-driven security, and cloud-native enterprise platforms, and to grow as an engineer in a fast-moving, product-minded services environment.
RV College of Engineering (RVCE)
Master of Computer Applications (MCA) · Computer Applications
August 1, 2024 – June 30, 2026
AI-Based Fake News Detection System
June 21, 2026 – Present
Designed and developed an end-to-end web application that verifies the authenticity of news content in real time by combining classical NLP with modern Large Language Models. Implemented a cascading LLM pipeline using Microsoft Phi-3 Mini (via Ollama) as the primary engine and Groq Llama-3.3-70B as a fallback, improving reliability and response time. Built the backend using Flask with a Blueprint-based modular architecture, SQLAlchemy ORM, and JWT-based authentication to secure user sessions and API endpoints. Integrated live evidence retrieval through the Google Fact Check API and RSS feeds, along with a curated knowledge base of around 350 entities, to support model decisions. Developed a responsive front end with HTML, CSS, and JavaScript that delivers verdicts, confidence scores, and supporting sources in a clean, user-friendly interface.
Image Cartoonization Web Application
June 21, 2026 – Present
Built a web application that converts uploaded photographs into cartoon-style images using a multi-step OpenCV pipeline (bilateral filtering, edge detection, color quantization). Designed a Python backend that handles secure image uploads, processing, and download of the transformed output, with proper file validation and cleanup. Created an interactive front end allowing users to preview original and cartoonized images side-by-side, with responsive layouts for desktop and mobile.
Student Management System on AWS
June 21, 2026 – Present
Developed a cloud-deployed student management system providing CRUD operations for students, courses, and academic records through a web interface. Hosted the application on AWS EC2, stored profile assets and documents on Amazon S3, and used Amazon RDS for managed relational storage to ensure scalability and durability. Applied IAM-based access control and environment-level credentials to follow cloud security best practices, gaining hands-on exposure to cloud infrastructure and deployment.
E-Cart - Full-Stack E-Commerce Web Application
June 21, 2026 – Present
Built a full-stack e-commerce platform supporting product browsing, cart management, order placement, and a secure checkout flow. Implemented user registration, login, and session management with secure password handling and role-based access control. Created an admin dashboard with full CRUD operations for managing products, customers, and orders, backed by a normalized MySQL schema. Designed responsive interfaces with HTML, CSS, and JavaScript, and tested the application end-to-end in a XAMPP environment.
Data Analysis using Python
IBM (Cognitive Class)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from AI-powered systems to full-stack e-commerce and cloud-deployed applications, indicates a broad technical interest and adaptability. Their focus on modern technologies like LLMs, Kubernetes, and AWS, combined with an eagerness to contribute to AI-driven security and cloud-native platforms, suggests a strong alignment with a forward-thinking, product-minded services environment. The academic background and project-based learning approach indicate a proactive and self-driven individual.
Soft Skills & Operational Fit
The candidate's resume highlights a strong problem-solving mindset, quick learning ability, and effective communication skills, which are crucial for a dynamic engineering role. Their interest in AI, cybersecurity, and enterprise software aligns well with the target company's roadmap. The academic project experience, particularly the AI-Based Fake News Detection System, demonstrates an ability to work on complex, multi-faceted problems and deliver functional systems.