Ayush Dubey

0/1 Matrix Problem Explained 🔥 | Multi Source BFS | Crack Interviews Fast youtu.be/CRMcPzapets?si… via @YouTube

@AyushSi46601932 Thanks buddy 😊

@CodeAyushD We are always here to support you Dubey Sir👍

Started from 0. No audience. No support. Just consistency. I’m building my coding YouTube channel from scratch 💻 If you believe in growth, support me here👇 @technicallauncher2192" target="_blank" rel="nofollow noopener">youtube.com/@technicallaun… One day this will be BIG 🚀 #buildinpublic #coding #startup

@TensorThrottleX 😀

@CodeAyushD man fabulous!!

@khalidxv1 Appreciate it a lot, bhai 🙌 Just trusting the process and staying consistent. Let’s grow together.

@CodeAyushD Zero audience and still showing up every day is exactly how the big channels started. Keep going. Let's connect

@MrBeast Give it to me

I’m deleting my YouTube channel

@arsh_goyal if (isDeveloper) { reply("Yes, I’m eligible"); }

hey everyone! 👋 Only real developers are allowed to reply to this tweet. Check if you are eligible :)

@SushantBSinha Bhai tujhe kya ho gya Tera Paisa nhi mila kya tujhe

दुनिया की सबसे बड़ी पार्टी है BJP.. इसके कितने नेता आपको सड़क पर सिलेंडर के लिए लगी लाइन के आस पास दिख रहे हैं लोगों से पूछते हुए कि बता भाई क्या दिक्कत है, क्या मदद करूँ? सब ट्विटर पर डाल के मस्त हैं कि सब ठीक है क्यूंकि उनको पता है कि मोदी के नाम पर जीत ही जाएँगे । सांसद, विधायक, मंत्री, नेता.. सब नरेंद्र मोदी के कंधे पर चढ़े बैठे हैं कि पब्लिक उनसे नाराज़ हो सकती है लेकिन मोदी जी को वोट देगी तो वो भी तो जीतबे ना करेंगे। यही पब्लिक रिकॉर्ड पर रिकॉर्ड जीत दिला रही है और आज एक लाइन से सबको कह दिए कि झूट्ठे पैनिक बाइंग कर रहे.. ट्विटर का सेंटीमेंट और ज़मीन का सेंटीमेंट बहुत अलग है बॉस। लेकिन सब मस्त हैं कि हमने कह दिया ट्विटर पर कि सब ठीक है तो ठीक है।

May be there will be a world war now.@aajtak @ABPNews @ndtv @BBCHindi

@grok bhai @TensorThrottleX ko brutal roast kar. Ye data science enthusiast hai

I am leaving this 100 days challenge, now everything is done for me. Thanks to all of you who supported me till this point.🙏🙏

Day 26 – Caching & Reuse Cache frequent prompts and responses. Reuse embeddings across queries. Reduces cost and latency at scale. Don’t recompute what you can reuse. 🚀 #GenAI #BuildInPublic

@Mishi_2210 9

What number am i..? 🤔

Day 25 – Human-in-the-Loop Critical decisions need human review. HITL reduces risk and improves quality. Automation works best with oversight. Humans close the loop. 🚀 #GenAI #BuildInPublic

Day 24 – Privacy & Security GenAI systems must protect user data. PII handling, access control, and secure storage are critical. Security isn’t optional at scale. Trust is built, not assumed. 🚀 #GenAI #BuildInPublic

Day 23 – Data Quality Model performance depends on input quality. Clean, relevant data > more data. Bad data amplifies hallucinations. Garbage in, garbage out. 🚀 #GenAI

Day 22 – Versioning & Experimentation Prompts, models, and pipelines must be versioned. A/B testing reveals what actually works. Reproducibility beats intuition. Ship, measure, iterate. 🚀 #GenAI #BuildInPublic

All these for 1.8-2.4LPA. A company is visiting in my college for placement drive. It requires all these skills.🥺

Day 21 – Observability Production GenAI needs visibility. Logs, traces, and metrics reveal failures and costs. You can’t improve what you can’t observe. Debugging starts with insight. 🚀 #GenAI

@saen_dev Exactly this. Once orchestration is in place, failures become observable instead of chaotic. Retries, cost tracking, and debuggability are what make GenAI production-ready.

@CodeAyushD Orchestration separates toys from production. Built AI pipeline without it - debugging nightmare, retry logic everywhere. Added step functions - failures traceable, retries automatic, costs visible. Systems > scripts.

Day 20 – Orchestration Complex GenAI systems need orchestration layers. Manages models, tools, memory, and workflows. Enables scalable, multi-step pipelines. Systems > prompts. 🚀 #GenAI #BuildInPublic