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AI/ML Engineer & Data Analytics Enthusiast
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
agentic-observability-platform
January 19, 2026 – Present
Agentic AI-Driven Observability & Anomaly Detection Platform with multi-agent architecture
View ProjectOffline-Multimodal-RAG-System
January 9, 2026 – Present
This project implements a fully offline, multimodal Retrieval-Augmented Generation (RAG) system capable of ingesting, indexing, and querying heterogeneous data sources — including DOC, PDF, images, and voice recordings — under a unified semantic embedding space, using self-trained or open-weight models.
View Projectbusiness-card-ocr-api
December 6, 2025 – Present
business-card-ocr-api — GitHub repository
View Projectvideo-generation
September 8, 2025 – November 28, 2025
video-generation — GitHub repository
View Projectget-a-coder-job-deploying
August 2, 2025 – August 22, 2025
get-a-coder-job-deploying — GitHub repository
View Projectfozzby-tech-data-deploying
August 2, 2025 – August 23, 2025
fozzby-tech-data-deploying — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, particularly in AI/ML and web development. The diversity of projects suggests a proactive and self-driven individual. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative engineering environment. The projects align with the target role of AI/ML Engineer, demonstrating initiative in relevant areas.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.