Yesterday's Decoding Data Science session was another reminder that building AI starts with solving the right problem—not just using AI because it's available. One of my biggest takeaways was learning how to identify the right AI solution: ✅ Automation for repetitive tasks ✅ LLMs for understanding and generating unstructured content ✅ RAG when knowledge retrieval is the challenge ✅ AI Agents for multi-step workflows and decision-making I also learnt about the 6-Layer AI Application Stack, which provides a practical roadmap for building AI applications: 1️⃣ Problem & Use Case 2️⃣ Data Layer 3️⃣ Intelligence Layer 4️⃣ Workflow Layer 5️⃣ Interface Layer 6️⃣ Evaluation Layer This session helped me understand that great AI products are built by carefully designing every layer—not by simply connecting to an LLM. Thank you, Mohammad Arshad and the Decoding Data Science community, for another valuable learning experience. Every session continues to strengthen my understanding of AI engineering and how to build solutions that solve real-world problems. Looking forward to applying these concepts in my own AI projects! #DecodingDataScience #ArtificialIntelligence #AIEngineering #LLM #RAG #AIAgents #Automation #MachineLearning #BuildInPublic #ContinuousLearning

Today I improved Nexa AI’s agent system. What I worked on: ✅ Career matching improvements ✅ Skill gap analysis ✅ Job readiness recommendations ✅ Personalized learning roadmaps ✅ Career-based project suggestions Nexa AI can now analyze a user profile and provide a more personalized career plan instead of giving generic advice. Continuing to improve the agent workflow and make Nexa smarter every day! 🔥 #AgenticAI #AIChallenge

Today I worked on improving Nexa AI, my AI career assistant. Progress: ✅ Made the career recommendation system more dynamic ✅ Added support for different career backgrounds ✅ Improved how user skills and goals are matched with career paths ✅ Continued building the agent workflow The goal is to make Nexa AI useful for more than just technical users and help beginners explore different career opportunities. #AgenticAI #AIProjects

Today, I continued building Nexa AI, an AI-powered career assistant that helps students and beginners explore career paths and create learning roadmaps. Today’s progress: ✅ Improved the Career Recommendation Agent ✅ Added dynamic career matching across different fields ✅ Created a scoring system to recommend suitable careers based on user profiles ✅ Added career explanations, skills to learn, roadmaps, and project suggestions ✅ Fixed and tested the agent workflow The project is getting closer to the final demo, and I’m excited to keep improving it! 🚀 #AgenticAI #AIProjects

Some people collect stamps... I seem to collect DDS Bootcamps. 😄 Excited to be joining the July 2026 Decoding Data Science (DDS) Bootcamp! There is always something new to learn in AI, and every session brings fresh perspectives, practical insights, and a chance to connect with an amazing community. Looking forward to another weekend of learning, growing, and keeping up with the ever-evolving world of AI. 🚀