Technophile | Athlete | Tabalchi A dweller who likes to travel and come across adventures along the way. I love solving problems in a creative manner. Experience working with Java and Python. Currently exploring the world of AI, ML, and Data Science. Passionate about solving real-time problems. My experience in sports has given me the confidence that I can do amazing things when I put my mind to something. I believe that by transitioning that mentality to my Professional career, the sky is the limit.
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1d ago · 10 min read · You don’t ship an “agent.” You ship a loop that talks to tools, mutates state, and occasionally surprises you in production at 2 a.m. In 2026, “agentic LLMs” have moved from demo-land (prompted ReAct
Join discussionFeb 12 · 8 min read · If you trained a frontier LLM today the way we trained them in 2021—pretrain, do a little instruction tuning, ship—you’d get crushed in production. Not because the base model can’t write or reason, but because users don’t experience “capability”; the...
Join discussionFeb 11 · 8 min read · RAG in 2026 isn’t “just add embeddings.” Most teams already have decent vector search, yet still see the same failures: the model misses a single policy clause, confuses two similar products, or answers confidently from the wrong paragraph. The big s...
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