Pydantic Helper & Snippets for VS Code Launched

Built a Global Weather & AQI App 🌍 using Python and Streamlit, which fetches real-time weather details and air quality information for cities worldwide. This project helped me gain hands-on experience with API integration, data handling, and building interactive web apps. (GitHub: https://lnkd.in/ge3pmFpy) #Python #Streamlit #WeatherApp #APIs #LearningByDoing

AI-Assisted Code Modernization Recently, I needed to modernize a Panel app for busting bad colormap. I built it in 2020, and  froze it in time with Python 3.7 and Panel 0.x. This was deliberate to keep it functional, but after years, it caught up with me, in spite of some fixes last fall. The Binder deployment was also broken and I’d failed to fix on my own.Working in VSCode with Claude Opus 4.5 changed everything. In a short session, we upgraded to Python 3.12, fixed the deployment, updated an outdated widget pattern that Claude independently diagnosed, and quickly brought online some feature enhancements I had planned long ago, like adding two new colormap collections. The honest trade-off: In 2020, I learned Panel internals deeply through hard hands-on work and discussions in the Panel forums. In 2026, I got a working, modernized app in a fraction of the time, but with less low-level knowledge. For this project, that trade-off made complete sense; in fact, it was a game-changer, and that’s the path forward, for me. Read the full post on my blog at:https://lnkd.in/eWPWsCX8

TODO-APP | Phase 1 | In-Memory Python Console Application | Hackathon 2 (GIAIC Quarter 4) Sharing my Hackathon 2 – Phase 1 project, where the objective was to design and implement an in-memory, console-based Todo application using a spec-driven and agentic development workflow. This phase focused on building a clean and predictable foundation before moving toward full-stack and AI-enabled phases. Key highlights: • Command-line Todo application with in-memory storage • Basic functionality implemented: add, view, update, delete, and mark tasks complete • Clean three-layer architecture (Models, Services, CLI) • Predictable in-memory behavior with validation for common user input errors • Spec-first, agentic workflow using Spec-Kit and Claude Code • Architecture aligned to support future full-stack and AI-based extensions GitHub Repository: https://lnkd.in/dxGDu6Em Looking forward to continuing this project in Phase 2. #GIAIC #GovernorSindhITInitiative #Hackathon2 #Phase1 #TodoApp #Python #CleanArchitecture #AgenticDevelopment

🚀 Hackathon II | Phase II Built a full-stack Todo web application using Next.js, FastAPI, Neon PostgreSQL, with JWT authentication (Better Auth) following Spec-Driven Development. 🔗 GitHub: https://lnkd.in/eTbbFgn8 🎥 Demo: https://lnkd.in/ejjj3HEq #FullStack #Hackathon #NextJS #FastAPI #Python #ProjectShowcase Ameen Alam Ali Jawwad

Just tried out TraceKit(https://tracekit.dev/) for the first time (using their python-apm SDK) and I'm impressed! -  Clean, intuitive UI for trace analysis - Multi-language support for web applications (I used Python, but it works across different tech stacks) - Debug production issues WITHOUT redeploying If you're working on web applications and need better observability, TraceKit is worth checking out regardless of your language choice!

🚀 LeetCode Daily Challenge – Day 8 Problem #1458: Max Dot Product of Two Subsequences (Hard) This was by far one of the hardest problems I’ve worked on so far in my daily streak. 🧭 How I Approached the Question: At first, the problem looks similar to classic subsequence DP questions, but the non-empty subsequence constraint makes it tricky — especially when all values can be negative. A greedy approach doesn’t work here, so I knew this had to be solved using Dynamic Programming. 🧠 Key Idea: Let dp[i][j] represent the maximum dot product using subsequences from: first i elements of nums1 first j elements of nums2 For each pair of indices, I had three choices: Take both elements and extend a previous subsequence Skip current element of nums1 Skip current element of nums2 The most important insight: 👉 When starting a new subsequence, we should not carry forward negative values, so we use max(0, dp[i-1][j-1]). This ensures: The subsequence is non-empty We always keep the best possible dot product 🛠️ Transition: Multiply the current elements Either start fresh or extend a previous valid subsequence Compare with skipping options ⏱ Time Complexity: O(n × m) 📦 Space Complexity: O(n × m) This problem really tested my: DP fundamentals Edge case handling Patience 😄 👉 A great reminder that “Hard” problems are hard for a reason — but breaking them down step by step makes them manageable. 📌 Consistent practice, even when the problem feels overwhelming. #LeetCode #DailyCoding #DynamicProgramming #HardProblem #DSA #ProblemSolving #Python #CodingJourney #LearningInPublic

🚀 Exciting Update! I’m thrilled to share that Vibey is now live both on GitHub and published to TestPyPI! 🎉 🔗 GitHub Repository: https://lnkd.in/gUKyzPUU 🔗 TestPyPI Package: https://lnkd.in/g2VTgSAx Vibey is designed to bring simplicity and creativity to Python projects — making it easier to experiment, build, and share ideas. Publishing it to TestPyPI is the first step toward broader distribution and community feedback. 💡 What’s next? Gathering feedback from developers Iterating on features Preparing for a full PyPI release If you’re curious, check out the repo, try installing the package, and let me know your thoughts. Collaboration and feedback are what make open-source thrive! https://lnkd.in/gUKyzPUU https://lnkd.in/gzwZX9kD

Demo: QuantPortal Live I'm excited to share a quick demo of QuantPortal, a unified financial analytics platform I built using Python and Streamlit. This tool merges a professional stock terminal with an institutional-grade quantitative lab, allowing for real-time market monitoring and advanced factor backtesting in one interface. This is just the initial version—lots of exciting updates are on the roadmap! Live App: https://lnkd.in/e8vz4T2D Source Code: https://lnkd.in/e_teH9vT #Python #Streamlit #DataScience #Coding #SoftwareEngineering #BuildInPublic #OpenSource #Developer #DemoDay #SideProject

🚀 Built a Privacy-First RAG App: RAGstack📚 I built RAGstack, a clean and secure Retrieval-Augmented Generation (RAG) app that lets you chat with your PDF documents using Hugging Face open-source models. Highlights: 🔒 API keys are never stored (session-only) 📄 Upload a PDF and chat instantly 🧠 Semantic search with sentence-transformers + Chroma 🗄️ Isolated vector DB per session (no data leakage) Tech: Python, Streamlit, LangChain, Hugging Face, Chroma 🔗 Live Demo: https://lnkd.in/gzt8QBaX 💻 GitHub: https://lnkd.in/g7uFvCai #RAG #LLM #GenerativeAI #LangChain #HuggingFace #Streamlit #AIProjects #OpenSource