B.Tech CSE (AI & ML) | SRM KTR AI/ML enthusiast building real projects
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Assessing your cultural and operational fit
PRISM-Memory-Agent
May 7, 2026 – Present
Context-Aware Adaptive Memory for Mobile Agentic Systems
View Projectself-evolving-multi-agent-orchestrator
April 16, 2026 – Present
self-evolving-multi-agent-orchestrator — GitHub repository
View Projectcortex-agent
March 15, 2026 – Present
Cortex-Agent is an autonomous AI system that can understand user tasks, generate execution plans, and interact with computers and browsers to perform real-world operations.
View Projectair-canvas
February 26, 2026 – Present
Real time air drawing application using hand tracking
View ProjectAI-Visual-Search-Engine
February 20, 2026 – Present
AI-powered visual search and object intelligence engine using TensorFlow, deep learning and similarity matching.
View ProjectAI-PiracyGuard
February 4, 2026 – Present
AI-based system to detect pirated and deepfake video content using machine learning, video fingerprinting, and watermark analysis.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and heavily focused on AI/ML and agentic systems, which may not directly align with a pure Android Developer role without further evidence of mobile-specific contributions. The diversity of technologies used across projects (Python, TypeScript, Kotlin, JavaScript, C++, etc.) indicates a broad interest but lacks deep specialization in Android. The absence of professional experience or education makes it difficult to assess cultural fit in a team environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.