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mini-cfo-copilot
September 30, 2025 – September 30, 2025
Mini CFO Copilot is a Streamlit app that answers financial questions from CSVs in natural language. It provides revenue vs. budget, margin & EBITDA analysis, cash runway, interactive dashboards, PDF reports, and multi-currency support for fast, clear financial insights.
View ProjectdatePosted_Finder
September 25, 2025 – October 3, 2025
Job Post Date Finder is a browser extension that auto-detects and displays job posting dates on any site. Supports JSON-LD, meta tags, raw HTML, and relative text. Offers popup, context menu, shortcut, auto-copy, SPA support, and notifications, all fully local, no data sent.
View ProjectBrowser-Use-Price-Comp-Bot
August 21, 2025 – August 21, 2025
AI-powered browser automation tool to compare Amazon and Walmart prices. Extracts product details, avoids sponsored listings, and returns structured JSON highlighting the cheaper source with differences.
View ProjectUN-Hackathon-Child-Wind-Risk-Intelligence-System
June 21, 2025 – June 21, 2025
CW-RIS is a child-centered wind risk analysis app that overlays real-time ECMWF ERA5 wind forecast data with child population exposure (e.g., from WorldPop), school density, and hospital accessibility to compute and visualize risk zones. This Streamlit app enables faster, data-driven decisions for humanitarian response and preparedness.
View ProjectXAI-Gradcam-Twin-System
May 26, 2025 – July 2, 2025
Explainable AI project using ResNet-18 to classify real vs. diffusion-generated cat images with Grad-CAM heatmaps and Twin System nearest-neighbor explanations for interpretability.
View ProjectTransfer-Learning-Diffusion
May 5, 2025 – May 5, 2025
Transfer Learning & Diffusion Classification using ResNet-18. Part 1: Ants vs Bees with fine-tuned vs frozen features. Part 2: Real vs Fake Cats with diffusion-generated data. Achieves 94–95% accuracy. Includes Grad-CAM visualizations and reproducible PyTorch code.
View ProjectTriton-Implementation
April 21, 2025 – September 18, 2025
This repo walks through deploying an image classification pipeline using an ensemble model in NVIDIA Triton Inference Server. The architecture offloads preprocessing to a Python backend and classification to a TorchScript model.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong inclination towards personal projects, many of which address real-world problems (e.g., financial analysis, disaster risk assessment, job search tools). This indicates initiative and a desire to apply technical skills for practical impact. The diversity of projects, from web development to advanced AI/ML, suggests adaptability and a broad interest in technology. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration and cultural alignment within a corporate setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and problem-solving approach, particularly in developing tools for financial analysis, job search, and humanitarian aid. The focus on practical applications suggests a results-oriented mindset. However, without specific psychometric or English test scores, a detailed assessment of communication clarity, logical reasoning, work attitude, stress handling, and team collaboration is not possible.