Hina Arora

Attention all 2023 and 2024 Graduates! 🎓🎉

Are you worried about the possibility of a recession impacting your job prospects? Don't be! Here's a message of reassurance: Recessions come and go, but your skills, education, and determination are here to stay! 💪

Yes, economic cycles may fluctuate, but that doesn't mean you won't find a job. So, keep your chin up and your eyes on the prize! 🏆

𝐇𝐞𝐫𝐞'𝐬 𝐬𝐨𝐦𝐞 𝐚𝐝𝐯𝐢𝐜𝐞 𝐭𝐨 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐧𝐚𝐯𝐢𝐠𝐚𝐭𝐞 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐮𝐧𝐜𝐞𝐫𝐭𝐚𝐢𝐧 𝐭𝐢𝐦𝐞𝐬:
1️⃣ Stay proactive and adaptable: Keep learning, stay updated with industry trends, and be open to different opportunities. Consider internships, part-time roles, or volunteering to gain valuable experience.
2️⃣ Network like a pro: Build a strong professional network, connect with alumni, and seek mentorship. Your network can be a powerful resource in discovering hidden job opportunities.
3️⃣ Embrace your skills and education: Your education and skills are valuable assets that will serve you well throughout your career. Believe in yourself and showcase your strengths in your job applications and interviews.
4️⃣ Stay positive and persistent: Job hunting can be challenging, but stay optimistic and keep pushing forward. Don't be afraid to ask for help or support when needed. You've got this!

🚀 Remember, you are capable, resilient, and destined for success. The job market may have its ups and downs, but with your determination and hard work, you will land that dream job! Keep believing in yourself and your abilities. 💼


So, Class of 2023 and 2024, don't let the fear of a recession hold you back. Your future is bright, and opportunities are waiting for you. Keep striving, keep hustling, and keep chasing your dreams! 🌟

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#Graduates #JobSearch #OpportunitiesAwait #BelieveInYourself #YouGotThis #success #job #education #career #learning #opportunities #experience #future #jobopportunities #internships #network

Can AI do everything or anything?


Nah!! I don't think so...

But, this is the best ad reflecting the rapid rise of AI.

It's a flawless fusion, capturing the essence of emotion, sentiment, and the buzzing sensation of the moment - artificial intelligence.

Marvel!

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#artificialintelligence #ai #future

𝐍𝐞𝐭𝐟𝐥𝐢𝐱'𝐬 𝐎𝐯𝐞𝐫𝐚𝐥𝐥 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞

A few months back I shared the Netflix architecture but this GIF will help you to understand it easily.

This post is based on research from many Netflix engineering blogs and open-source projects.

Mobile and web: Netflix has adopted Swift and Kotlin to build native mobile apps. For its web application, it uses React.

Frontend/server communication: Netflix uses GraphQL.

Backend services: Netflix relies on ZUUL, Eureka, the Spring Boot framework, and other technologies.

Databases: Netflix utilizes EV cache, Cassandra, CockroachDB, and other databases.

Messaging/streaming: Netflix employs Apache Kafka and Fink for messaging and streaming purposes.

Video storage: Netflix uses S3 and Open Connect for video storage.

Data processing: Netflix utilizes Flink and Spark for data processing, which is then visualized using Tableau. Redshift is used for processing structured data warehouse information.

CI/CD: Netflix employs various tools such as JIRA, Confluence, PagerDuty, Jenkins, Gradle, Chaos Monkey, Spinnaker, Altas, and more for CI/CD processes.

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Credit: Many useful resources.

Medium: https://lnkd.in/du2zCSdM

Seeking assistance with Career Branding? Connect with me today!
👉👉👉👉👉👉 https://lnkd.in/d72bHpAR

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#hinaarora #systemdesign #netflix #engineering #react #architecture

Last Withdrawal Salary: 25LPA ↗

Offered Salary: 18LPA ↘

A conversation between 2 companies has been leaked: 😱


Company 1 : It's unfortunate that he/she had to go through the layoff.

Company 2 : Layoffs happen, and we need to focus on cost-cutting.

Company 1 : Let's consider the individual's skills and potential instead of just the situation.

Company 2 : We shouldn't offer a high salary if we decide to hire him/her.

Company 1 : Fair compensation based on skills and market value is crucial for motivation and commitment.

Company 2 : We can find someone with similar skills for a lower salary.

Company 1 : Paying for skills, not just the situation, is essential to attract top talent and create a positive work environment.

Company 2 : We can find another candidate who fits within the budget.

Company 1 : Investing in the right talent brings long-term benefits like enhanced productivity and employee loyalty.

Company 2 : Let's keep the salary as low as possible to prioritize the bottom line.

Company 1 : Finding a balance between cost-effectiveness and fair compensation is important for a positive company culture.

Company 2 : Let's make sure it aligns with our budget constraints.

Company 1 : Let's work together to find a solution that respects skills and financial goals, benefiting everyone.


Don't make fun of the skills. 🙏

Please note that he/she has been laid off not due to their skills, but due to downsizing by the previous company.

Pay for their skills, not for the situation.

If you like the conversation between them and feel company 1 is right. Then follow me Hina Arora


Want to have 1:1 Mentorship session with me? Check out https://lnkd.in/dUf9JiDU


#beavailable #hinaarora #topmate
#work #culture #motivation #payscale

Microsoft used to be the best employer and a dream job for many.
They can afford #chatgpt worth 10 𝐛𝐢𝐥𝐥𝐢𝐨𝐧 but 🤯
they can't afford 10k employees. 😥

𝐌𝐨𝐫𝐚𝐥 𝐨𝐟 𝐭𝐡𝐞 𝐬𝐭𝐨𝐫𝐲:
Stop treating your job as everything and start treating it as a business.

#copied
#microsoft #hinaarora #careerinsightwithhinaarora #jobsecurity #business #job

Picture a digital world where software works together like a team of tiny superheroes, each with its own superpower, to create amazing applications that run smoothly and efficiently.

Welcome to the world of microservices, where small is mighty!

Microservices are small, independent pieces of software that work together to build an application. They communicate using clear rules, and each piece can be developed, deployed, and scaled on its own.

Some commonly used design patterns that can be beneficial when designing and implementing microservices:

✅ Gateway Pattern
✅ Service Registry Pattern
✅ Circuit Breaker Pattern
✅ SAGA Pattern
✅ CQRS (Command Query Responsibility Segregation) Pattern
✅ Bulkhead Pattern
✅ Sidecar Pattern
✅ API Composition Pattern
✅ Event-Driven Architecture Pattern
✅ Database per Service Pattern
✅ Retry Pattern
✅ Configuration Externalization Pattern
✅ Strangler Fig Pattern
✅ Leader Election Pattern

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I help technical individuals create their career brands on LinkedIn.
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How Do You Choose the Right Fit for Your Project?

Let’s break down your options:

1. Relational Databases (ACID Compliant): Ideal for transactions requiring high consistency. Think SQL Server, Oracle, or MySQL for structured data with complex queries.

2. Columnar Databases for Analytics: Best for analytical queries involving large datasets. Platforms like RedShift or BigQuery provide fast retrieval and scalable options for read-heavy workloads.

3. NoSQL Databases: When flexibility or scalability takes precedence, NoSQL databases like MongoDB or Cassandra offer schema-less alternatives to store unstructured or semi-structured data efficiently.

4. In-memory Databases: Need ultra-fast data processing? In-memory solutions like Redis or Memcached serve high-speed data handling for real-time processing tasks.

5. Graph Databases: Perfect for handling complex queries interconnecting data, such as Neo4j or JanusGraph, which excel in discovering relationships.

6. Multi-model Databases: These provide a versatile approach where multiple data types and models are needed within a single application, offering solutions like CosmosDB.

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I help Technical Individuals to create their Career Brand on LinkedIn.
👉https://lnkd.in/d72bHpAR

📌 Save this post for later and follow Hina Arora for more insightful information.

I have a community of 500k+, 35+ clients, and a team of 15.

The hardest part isn’t replying. It’s remembering context and what to say next and to predict it

Who said what? What I promised. What actually matters.

So I tried something different with ve.ai.

Earlier, every reply meant scrolling, checking notes and piecing things together.
And even with AI, it was always about writing the perfect prompt to get the right reply.

Now, I just open a conversation, hit Fn… and everything is already there.

Context from Emails, meetings, notes plus what actually needs to be said next.

It doesn’t wait for instructions. It picks up the context and continues from there.

No switching. No rewriting.

Most tools help you reply faster. This helps you reply right.

Less catching up. More like the next step is already ready.

I’m not trying to sound personal anymore. The system already knows enough to make it personal.

That’s a very different shift.

From trying to prompt better…
to not needing to prompt at all.

If you’re managing clients, a team, or a community, this changes how you operate day to day.

Try it once: https://ve.ai

Great work by Vijay Eesam & ve.ai - the intent company team

𝐌𝐨𝐬𝐭 𝐩𝐞𝐨𝐩𝐥𝐞 𝐰𝐚𝐧𝐭 𝐭𝐨 𝐛𝐮𝐢𝐥𝐝 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬.
Very few know what to learn… and in what order.

So they jump between tools, tutorials, and frameworks…

…and stay stuck.

Here is a clear roadmap to go from beginner → AI Agent builder 👇

—

𝟏. 𝐒𝐭𝐚𝐫𝐭 𝐰𝐢𝐭𝐡 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐅𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧𝐬
• Data types, control flow, file handling
• Learn how logic actually works

👉 If you skip this, everything else breaks.

—

𝟐. 𝐋𝐞𝐚𝐫𝐧 𝐃𝐚𝐭𝐚 & 𝐓𝐨𝐨𝐥 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧
• APIs, authentication, GPT wrappers
• How systems talk to each other

👉 Agents = integrations, not just models.

—

𝟑. 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐌𝐋 𝐁𝐚𝐬𝐢𝐜𝐬
• Supervised learning, evaluation
• Intro to reinforcement learning

👉 Know what ML can (and cannot) do.

—

𝟒. 𝐌𝐚𝐬𝐭𝐞𝐫 𝐋𝐋𝐌 𝐅𝐮𝐧𝐝𝐚𝐦𝐞𝐧𝐭𝐚𝐥𝐬
• Transformers, fine-tuning, MoE
• How LLMs actually generate outputs

👉 Stop treating LLMs like magic.

—

𝟓. 𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐄𝐬𝐬𝐞𝐧𝐭𝐢𝐚𝐥𝐬
• Few-shot, zero-shot
• Chain of Thought, structured prompts

👉 Better prompts = better outputs.

—

𝟔. 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐃𝐚𝐭𝐚 + 𝐓𝐨𝐨𝐥 𝐔𝐬𝐚𝐠𝐞
• SQL/NoSQL, scraping
• Build APIs & SaaS integrations

👉 This is where real products start.

—

𝟕. 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐥𝐞 𝐀𝐈 + 𝐑𝐀𝐆
• Embeddings, vector databases
• Retrieval-Augmented Generation

👉 Ground your AI in real data.

—

𝟖. 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬
• Orchestration, feedback loops
• Multi-step reasoning

👉 Now you are building actual agents.

—

𝟗. 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐀𝐠𝐞𝐧𝐭 𝐃𝐞𝐬𝐢𝐠𝐧
• Memory, planning, control (MCP)
• Agent architectures & patterns

👉 This separates builders from beginners.

—

𝟏𝟎. 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 & 𝐌𝐋𝐎𝐩𝐬
• A/B testing, monitoring, cost control

👉 If it is not deployed, it doesn’t matter.

—

𝟏𝟏. 𝐄𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧 & 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲
• Metrics, logging, latency testing
• Safety & reliability

👉 Measure everything.

—

𝟏𝟐. 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭 𝐒𝐲𝐬𝐭𝐞𝐦𝐬
• Agent-to-agent communication
• Coordination & handoffs

👉 This is where the future is heading.

—

Save this roadmap.
Follow it step-by-step.

And you will be ahead of 90% of people building in AI.

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I (Hina Arora) help tech executives to position them online that helps them to grow professionally.
DM me ‘Branding’ if you want to position yourself on LinkedIn.

Claude just became your Chief of Staff. 🤝

Most people treat AI like a search engine.
The smartest teams are treating it like an operator.

20 connectors that change everything:

✅ Google Drive → reads your files mid-chat
✅ Gmail → drafts and surfaces threads for you
✅ Google Calendar → handles scheduling and RSVPs
✅ Slack → pulls any channel thread into conversation
✅ Notion → updates databases on command
✅ HubSpot → summarises deals and pipeline
✅ Canva → designs from a prompt, no tools needed
✅ Apollo.io → finds and books prospects directly
✅ Clay → personalised outreach at scale
✅ Asana → task creation and project tracking
✅ Linear → issue management across your team
✅ Zapier / n8n / Make → trigger any automation
✅ Stripe → payment data and financial reports
✅ Intercom → customer insights and support drafts
✅ Gamma → decks and landing pages in seconds
✅ Granola → AI meeting notes, nothing lost
✅ MailerLite → full email marketing from chat
✅ Microsoft 365 → SharePoint, Teams, OneDrive, Outlook

How to activate: Settings → Connectors → Browse → Add.

The gap between people using AI and people OPERATING with AI is growing fast.

Which of these are you already using? 👇


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I (Hina Arora) help tech executives to position them online that helps them to grow professionally.
DM me ‘Branding’ if you want to position yourself on LinkedIn.

♻️ Repost to help someone in your network who's learning tech.
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#AI #Claude #Productivity #Anthropic #AIConnectors #WorkTools #FutureOfWork