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Kasparro-agentic-fb-analyst-Srijan-Ratrey
October 27, 2025 – October 28, 2025
Agentic FB Ads Analyst — multi-agent system that analyzes ad performance and generates data-driven creative recommendations.
View ProjectRAG-Q-A-System
September 22, 2025 – September 22, 2025
A small question-answering service over industrial & machine safety PDFs with baseline similarity search and reranker enhancement.
View ProjectMarketing-Multi-Agent-System-Analysis
September 1, 2025 – September 1, 2025
Marketing-Multi-Agent-System-Analysis — GitHub repository
View Projectpdf-parser-agent
August 21, 2025 – September 8, 2025
AI Agent for PDF Parser Generation - LangGraph Implementation
View ProjectFootball-analysis
August 15, 2025 – August 15, 2025
⚽ Football Performance Analysis System - YOLOv11 + MediaPipe powered sports analytics with dual analysis modes (standard & FIFA-quality 3D), real-time processing, and professional biomechanical insights for coaching and player development.
View ProjectFashion-Detector
June 9, 2025 – August 4, 2025
Smart Tagging & Vibe Classification Engine for Fashion Videos 🧥💅🏻👔
View ProjectSchema-Aware-Natural-Language-to-SQL-Agent
May 29, 2025 – September 16, 2025
🧠 Schema-Aware Natural Language to SQL Agent with Fine-tuned T5 Models
View ProjectBlueprint-Symbol-Detector
May 11, 2025 – May 13, 2025
A FastAPI-based computer vision tool for detecting key electrical symbols in blueprint files. Supports both PDF and image uploads, simulates detections (EV chargers, panelboards, GFI outlets), and visualizes results with bounding boxes. Includes a web interface, modular backend, and Docker support.
View Projectquotes
August 21, 2021 – September 24, 2021
Best collection of series, movies, inspirational and famous quotes by authors you know and love.
View ProjectCultural Fit Analysis
The candidate's portfolio demonstrates a strong passion for AI/ML and a continuous learning mindset, which aligns well with an innovative and growth-oriented culture. The focus on personal projects, while impressive, means there is no direct evidence of experience in team environments or corporate structures. The breadth of technologies and problem domains explored suggests intellectual curiosity and a desire to build, which are positive indicators for cultural fit in a tech-driven environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven individual with a strong interest in applying advanced AI/ML techniques. The diversity of projects suggests adaptability and a willingness to tackle complex problems. However, without formal work experience or psychometric test results, it is difficult to assess collaboration, stress handling, or direct operational fit.