Efficient Grid Navigation with Transition Table Algorithm

 What if recording starts on its own? Built a Smart Event Recorder that listens   and reacts It detects sound, starts recording automatically, and stops when silence returns. No manual clicks — just smart automation.  Python | OpenCV | Sound Processing  GitHub: [Add link] #Innovation #Python #Projects #StudentDeveloper

🚀 Day 17 of #DSAStreak 📌 Problem: Longest Common Prefix 🧠 Problem Summary: Given an array of strings, find the longest common prefix shared among all strings. If no common prefix exists → return "" 💡 Approach: Vertical Scanning 🔥 Instead of comparing entire strings (slow ❌), we optimize using: ✔ Take first string as reference ✔ Compare characters index by index ✔ Check across all strings ✔ Stop immediately at first mismatch ⚙️ Key Logic: Take first string → iterate over each character Compare with same index in other strings If mismatch or index out of bound → return prefix till that point 📌 Example: Input: ["flower","flow","flight"] Output: "fl" Explanation: First mismatch at index 2 → "o" ≠ "i" ⏱ Time Complexity: O(N × M) 💾 Space Complexity: O(1) 🔥 Key Learnings: 👉 Nested loops ≠ always O(n²) 👉 Early stopping saves time 👉 Compare character-wise, not string-wise 👉 Prefix must be common in ALL strings #Python #DSA #Strings #CodingJourney #100DaysOfCode #ProblemSolving #LeetCode #Tech

Two Sum II: Sorted Input Enables O(1) Space Solution HashMap two-sum costs O(n) space. When input is sorted, two pointers from opposite ends eliminate extra space. Current sum too large? Move right pointer left (smaller values). Too small? Move left pointer right (larger values). Sorted Data Advantage: Pre-existing order enables space-efficient algorithms. Leveraging structure (sorted arrays, BST properties, monotonic stacks) transforms O(n) space solutions to O(1). Time: O(n) | Space: O(1) #TwoPointers #SortedArrays #SpaceOptimization #TwoSum #Python #AlgorithmDesign #SoftwareEngineering

WirelessAI, built in collaboration with TSFwaves and DivergenceAI, brings AI-driven automation to wireless communication workflows. Instead of working directly in Python, users can interact with AI agents through DivergenceAI’s interface to set up and run CoreSM's workflows more easily.

I am happy about the progress on our collaboration with DivergenceAI and Gustavo Navarro. Now wireless system simulation and channel modeling with KPI extraction and post-processing becomes easier than ever with AI automation. #5G #6G #3GPP #Cellular #WIFI #MIMO #PhasedArray #HardwareDesign #LinkLevelSimulations #DigitalTwin #Synopsys #Ansys #TSFWaves

Digital Noise Minimization The other day, I posted prototypes on Linkedin and on Github on various scientific topics related to image processing. This is one of the first reviews, which is more than 2 years old, thematically similar to recent examples. Now, based on it, I have created a prototype for minimizing digital noise. The file contains, as usual, the code, screenshots, and a full description of the prototype's functionality. https://lnkd.in/eyJNqaFi #Python #GUI #Digital #Noise #Minimization #Scientific #Visualization

LCA of BST: Exploiting Order Property for O(1) Space Generic tree LCA needs full traversal. BST ordering enables iterative solution — LCA is where paths diverge. Both values smaller? Go left. Both larger? Go right. Otherwise, current node is split point = LCA. BST Advantage: Ordering enables O(h) iterative solution without recursion stack. Divergence point is guaranteed LCA by BST property. This demonstrates how data structure properties simplify algorithms. Time: O(h) | Space: O(1) #BST #LCA #OrderProperty #IterativeSearch #Python #AlgorithmDesign #SoftwareEngineering

A lot of systems today are built to be “responsive.” I care more about systems that are bounded. That is part of why I made atlas-kvd-demo: a tiny Python toy where state evolves through: K — what the system carries  V — what the world pushes onto it  Δ — what a local event changes The point is simple: instead of jumping from 0 to 100 every time something happens, a system can update in a way that is legible, constrained, and stable. https://lnkd.in/e8WFcFPv Tiny demo. Bigger direction. #Python #SystemsDesign #Simulation #AIEngineering #GitHub #BuildInPublic #Tech

Most RAG pipelines fail before they ship. Not because of the model. Because of the retrieval. I fixed the following in production: → Hybrid search with BM25 → Added metadata filters → Chunked documents by section → Reranked top results Latency dropped significantly. Groundedness improved substantially. The model was not the issue. The pipeline was the problem. Save this if you are building RAG. #RAG #AIEngineering #LLM #Python #BuildInPublic