Faisal Malik

Full Stack | Data Science

[Faisal Malik @faisalmalik_01]

@nitesh_singh5 Interested
https://t.co/HwZNyK6ic0

[Palak🎀 @Palak3312]

Why DSA still matters for your career 👇

Without DSA vs With DSA

Web Developer
- Without DSA → ₹4–6 LPA
- With DSA → ₹8–12 LPA

Data Scientist
- Without DSA → ₹6–10 LPA
- With DSA → ₹12–22 LPA

AI/ML Engineer
- Without DSA → ₹7–12 LPA
- With DSA → ₹15–25 LPA

Cyber Security Analyst
- Without DSA → ₹5–8 LPA
- With DSA → ₹10–15 LPA

Software Engineer
- Without DSA → ₹3–5 LPA
- With DSA → ₹8–20 LPA

Learn DSA.

It can completely change the opportunities you qualify for.

[Swapna Kumar Panda @swapnakpanda]

You should know these terms before joining a company:

CTC - Cost To Company
LPA - Lakhs Per Annum
SDE - Software Development Engineer
SWE - Software Engineer
QA - Quality Assurance
KT - Knowledge Transfer
NP - Notice Period
OT - Overtime
WFH - Work From Home
WFO - Work From Office
OOO - Out Of Office
FTE – Full-Time Employee
LOP - Loss Of Pay
LWP - Leave Without Pay
PTO - Paid Time-Off
ASAP – As Soon As Possible
FYI – For Your Information
FYA - For Your Action
FYR - For Your Reference
MoM - Minutes Of Meeting
EOD – End of Day
COB – Close of Business
EOW – End of Week
OOO – Out of Office
ETA – Estimated Time of Arrival
TBD – To Be Determined
POC – Point of Contact
POC - Proof of Concept
RFP – Request for Proposal
SWOT – Strengths, Weaknesses, Opportunities, Threats
MVP – Minimum Viable Product
USP – Unique Selling Proposition
BAU – Business As Usual
B2B – Business to Business
B2C – Business to Consumer
CRM – Customer Relationship Management
ERP – Enterprise Resource Planning
ROI – Return on Investment
MRR - Monthly Recurring Revenue
ARR - Annual Recurring Revenue
ROI - Return on Investment
ROE - Return on Equity/Rate of Exchange
CAGR – Compound Annual Growth Rate
P&L – Profit and Loss
MoM – Month over Month
YoY – Year over Year
FY - Fiscal Year
CEO – Chief Executive Officer
CFO – Chief Financial Officer
COO – Chief Operating Officer
CTO – Chief Technology Officer
CMO – Chief Marketing Officer
VP – Vice President
HR – Human Resources
R&D – Research and Development
BTW – By The Way
LMK – Let Me Know
IMO – In My Opinion
SLA - Service Level Agreement
NDA - Non Disclosure Agreement
SOP - Standard Operating Procedure
ITR - Income Tax Return
PF - Provident Fund
EPF - Employees Provident Fund

[Shubh Jain @shubh19]

System Design Roadmap
- Learn Basics
- Understand Concepts
- Study Components
- Practice Designing
- Review & Improve
- Ace Interviews

Popular System Design Examples
- URL Shortener
- Chat System
- Video Streaming
- Social Feed
- E-Commerce
- Ride Sharing

Recommended Resources
- System Design Primer
- GeeksforGeeks Structured Learning
- Designing Data-Intensive Applications
- Educational Courses
- YouTube Channels
- Blogs & Articles

Top Companies Hiring
- Google
- Microsoft
- Amazon
- Meta
- Apple
- Netflix
- Uber
- Airbnb
- TikTok

[YourCloudDude | AWS & Python @yourclouddude]

AWS made Simple here

[Tech Fusionist | Kushal Gangil @techyoutbe]

Backend Engineering (step by step)

[Roan @RohOnChain]

Don't waste 2 years learning to become an AI agentic engineer in 2026.

Andrew Ng, the godfather of AI, gave the complete playbook to become one from scratch.

1 hour course. Free:

• 00:00 - AI agent basics
• 12:12 - AI Agentic workflows & design patterns
• 53:27 - Practical tips for building AI agents
• 1:20:30 - self-improving AI agent loops
• 1:30:19 - multi-agent AI systems

I watched it last night.

Halfway through, I realized I could get into Anthropic in weeks, not years.

Bookmark now. Watch it. Then build your own AI agent with the guide below.

[Amit Sharma @AmitSha77280075]

FULL COURSE 1 HOUR (Build & Automate Anything)

[Nikki Siapno @NikkiSiapno]

MCP vs RAG vs AI Agents

To understand modern AI systems, you need to understand how these three pieces fit together.

𝗥𝗔𝗚 = “𝗚𝗶𝘃𝗲 𝘁𝗵𝗲 𝗺𝗼𝗱𝗲𝗹 𝗯𝗲𝘁𝘁𝗲𝗿 𝗮𝗻𝘀𝘄𝗲𝗿𝘀”
RAG retrieves relevant data, injects it into the prompt, and generates a grounded response. It’s best when your problem is answering questions using your docs, reducing hallucinations, or showing sources and citations. RAG improves what the model knows, not what it can do.

If you're building RAG applications, there are several great guides here (beginner to advanced): https://t.co/tGPF4cNWZT

𝗠𝗖𝗣 = “𝗦𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝗶𝘇𝗲𝗱 𝘁𝗼𝗼𝗹 𝗮𝗻𝗱 𝗱𝗮𝘁𝗮 𝗮𝗰𝗰𝗲𝘀𝘀”
MCP is a standardized interface between LLMs and external systems like APIs, databases, and apps. Use it when your model needs to query data, call services, or interact with real systems (Slack, GitHub, etc). MCP doesn’t decide actions, it defines how tools are exposed.

𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 = “𝗠𝗮𝗸𝗲 𝘁𝗵𝗲 𝗺𝗼𝗱𝗲𝗹 𝘁𝗮𝗸𝗲 𝗮𝗰𝘁𝗶𝗼𝗻”
Agents operate in a loop: observe → plan → act → repeat, often using tools and memory. Use them when your problem requires multi-step reasoning, tool usage with verification, or full task execution. Agents start where RAG stops, turning decisions into actions and outcomes.

The simple mental model:
RAG → knowledge layer
MCP → tool layer
Agents → execution layer

Not every system needs all three explicitly, but complex ones often combine them.

If you want to see what this looks like in practice, MongoDB's AI Learning Hub has hands-on guides, tutorials, and courses for building production AI applications.

Check it out: https://t.co/Iq6sgiG4Kj

What else would you add?

——

♻️ Repost to help others learn AI.
🙏 Thanks to @MongoDB for sponsoring this post.
➕ Follow me ( Nikki Siapno ) to improve at AI engineering.

[Vanshika @vanshika_van]

Redis stores data in RAM.

RAM gets wiped after a restart.

So... why doesn't Redis lose all your data? 🤔

[Param @ParamSiddh]

watch every video of Artem Kirsanov's AI/ML playlist

[Umesh Kumar Yadav @Umesh__digital]

As a backend engineer.

Please learn below:

- System Design (scalability, microservices)

-APIs (REST, GraphQL, gRPC)

-Database Systems (SQL, NoSQL)

-Distributed Systems (consistency, replication)

-Caching (Redis, Memcached)

-Security (OAuth2, JWT, encryption)

-DevOps (CI/CD, Docker, Kubernetes)

-Performance Optimization (profiling, load balancing)

-Cloud Services (AWS, GCP, Azure)

-Monitoring (Prometheus, Grafana)

Stop jumping from one language to the other

[Umesh Kumar Yadav @Umesh__digital]

As a Backend Developer in 2026,
master these 11 skills to stay relevant in today's job market:

1. API Design → REST, GraphQL, gRPC
2. Authentication & Authorization → OAuth 2.0, JWT, OpenID Connect (OIDC), Passkeys
3. Databases → SQL, NoSQL, indexing, query optimization, partitioning & sharding
4. Caching → Redis, CDN, edge caching, cache invalidation strategies
5. Event-Driven Architecture → Kafka, Apache Pulsar, RabbitMQ, streaming pipelines
6. Concurrency & Asynchronous Programming → Virtual Threads, Reactive Programming, Structured Concurrency
7. Distributed Systems → Microservices, Service Mesh, Eventual Consistency, Resilience Patterns
8. Application Security → HTTPS, Encryption, Zero Trust, OWASP Top 10
9. Observability → Logging, Metrics, Distributed Tracing, OpenTelemetry
10. Cloud & Deployment → Docker, Kubernetes, CI/CD, Serverless, GitOps
11. AI Integration → LLM APIs, MCP, Vector Databases, RAG, AI Agents

Stop chasing every new programming language.

Become exceptional at building scalable, secure, cloud-native backend systems.

[Swapna Kumar Panda @swapnakpanda]

As a SOFTWARE ENGINEER, are you afraid of Data Structures and Algorithms (DSA)?

I promise you will enjoy it after going through this thread:

[Shubh Jain @shubh19]

If you master only these topics...

you'll be prepared for almost every Big Tech interview.

★★★★★ Arrays

★★★★★ Trees

★★★★★ Graphs

★★★★★ DP

★★★★★ Binary Search

★★★★☆ Hashing

★★★★☆ Linked Lists

★★★★☆ Heaps

★★★★☆ Sliding Window

★★★★☆ Greedy

Companies change.

Patterns don't.

[Amit Sharma @AmitSha77280075]

FULL COURSE 1 HOUR (Build & Automate Anything)

[Sam ☕ @samirande_]

Web dev in nutshell :

-Designers are good at designing but sad cause they can't make apps

-frontend devs are good at UI but sad cause they can't make backend well

-backend devs are good at backend but sad cause all appropriations get the UI

-fullstack devs are bad at both

[Enisco @enisco]

GitHub Headquarters

[Avinash Singh @AvinashSingh_20]

All DSA resources in one doc: https://t.co/SSb3QbOXo7

Bookmark it!

[Umesh Kumar Yadav @Umesh__digital]

Backend Development Project Ideas

• Authentication API
• CRUD API For Users
• Blog Backend
• URL Shortener
• Pagination and Search API
• File Upload API
• Rate Limiter API
• Muti User chat Application
• Multi role user System
• O Auth2 Login API
• Job Queue System
• Recommendation System
• Video Steaming Service
• High Performance API With Caching
• Distributed File Storage System