Mr Rohit Swerashi

How to become AI engineer in next 6 months: By the end, you want to be able to: - build LLM apps end-to-end - use APIs from OpenAI / Anthropic / open-source stacks - design prompts and context properly - add tool calling and structured outputs - deploy real projects So, let’s discuss your roadmap month by month Month 1: Get solid enough in coding and fundamentals What to learn: - Python really well - Git + GitHub - CLI / terminal basics - JSON, APIs, HTTP, async basics - basic SQL - basic data handling with pandas - virtual environments, package management, error handling - FastAPI or Flask Month 2: Master LLM app development What to learn: - prompting fundamentals - system vs user instructions - structured outputs / JSON schemas - function/tool calling - streaming responses - conversation state - cost / latency / token basics - failure handling - prompt injection awareness Month 3: Learn RAG properly What to learn: - embeddings - chunking - vector databases - metadata filtering - reranking - retrieval quality issues - hallucination reduction - citations and grounding Month 4: Agents, tools, workflows, evals - agent loops - tool selection - state management - retries - when NOT to use agents - multi-step workflows - evaluation harnesses - task success metrics Month 5: Deployment, product thinking, and reliability What to learn: - FastAPI production patterns - Docker - background jobs - queues - auth + API key security - logging - observability - prompt/version management - eval dashboards - cost monitoring - rate limits - caching Month 6: Specialize and become hireable these knowledge and skills you gained can be applied in three directions you need to choose one of them and focus on practice although everything mentioned above is also best learned purely through practice Direction 1: AI product engineer Best if you want startup jobs fast Focus on: - LLM apps - RAG - agents - deployment - product UX Direction 2: Applied ML / LLM engineer Focus on: - fine-tuning - when to fine-tune vs prompt - evaluation - inference optimization - open-source models - training pipelines Direction 3: AI automation engineer Focus on: - workflow orchestration - business process automation - multi-tool systems - CRM, docs, email, support, ops use cases This roadmap will help you go through a practical path, and the key is to study each of these points and then test them in real work By month six, you will already have several built products or examples of completed tasks And it will be much easier to get a job as an AI engineer Save it so you don't lose it and can return to study later

thegenios.com Intelligence for AI Agents!

Imagine a sales expert with 10years of experience sitting there while you (or your agents) are working. The sales expert simply monitors, analyzes, connects all the dots across different tools, resources, and memory, and then instructs, suggests, and recommends what to do next. Sometimes when you ask. Sometimes without asking. And sometimes by considering everything together. That's what GeniOS Sales Intelligence is.

GeniOS is built to outperform human decision-making in specific domains by helping you and your AI agents make better decisions and execute with more confidence.

🆓 Explore the website: thegenios.com 🆕 Instead of sales pitch, explore the product directly here: demo.thegenios.com

@boardyai Delusional will be a good word!

You have to be a little crazy to be a founder.

@adisingh Honestly, this is how things get done especially when you both are strangers :)

You’re either built for it or you aren’t Happy Friday

In simplest words: #GeniOS outperforms your thinking and decision making and do it for you as like your Second Brain.

For your curiosity: thegenios.com For your max curiosity: demo.thegenios.com

Imagine a sales expert with 10years of experience sitting there while you (or your agents) are working. The sales expert simply monitors, analyzes, connects all the dots across different tools, resources, and memory, and then instructs, suggests, and recommends what to do next. Sometimes when you ask. Sometimes without asking. And sometimes by considering everything together. That's what GeniOS Sales Intelligence is.

Learning is only the beginning. The real value comes from applying it. Pilot Noesis brings the two together. Learn from people building real products. Put those learnings into practice through hands-on challenges. Explore more: 🔗 hatch.co.in/events/pilot-n… #Hatch #PilotNoesis

The best conversations aren't one-sided. That's why we're starting Pilot Noesis with an AMA session. Ask about AI. Ask about products. Ask about startups. Ask what you've always wanted to ask a founder. 🚀 See you on 11 July. 🔗 hatch.co.in/events/pilot-n… #PilotNoesis #Hatch

How about an entrepreneur from last 6yrs, built multiple products, failed, never gave up, mentored 10k+ youths (now in AMD, BlackRock, Microsoft & others), 3x National Startup TV Shows, backed by Founders Inc, IIMB and 5th Time Entrepreneur? That's me btw. linkedin.com/in/rohitsweras…

We're always looking to discover exceptional founders. If you've recently come across an underrated startup that's solving a real problem, reply below. We'd love to learn more.

This time, it's IITB! cc: @the_genios

@vincent_koc You should give a try to @ProjectX_Cloud

This july 4th 🇺🇸 i raided the apple store for loot! I ran out of compute for my agents, need more ram and cpu to feed my claws and codex.

@vincent_koc @openclaw Wowwww 🔥🔥

New @openclaw website landed :)