Krishna MVS 🚩

Physically | Mentally | Financially

[𝐉𝐨𝐝 𝐈𝐧𝐬𝐚𝐧𝐞 @jod_insane]

THIS 🔥🔥

[Reads with Ravi @readswithravi]

Your brain can learn anything if you practice it daily.

[Shubh Jain @shubh19]

🚨11 DSA problems I repeatedly practised before the interviews:

𝟏. 𝐓𝐰𝐨 𝐒𝐮𝐦: Hashing, Arrays
𝟐. 𝐌𝐞𝐫𝐠𝐞 𝐈𝐧𝐭𝐞𝐫𝐯𝐚𝐥𝐬: Sorting, Greedy
𝟑. 𝐅𝐢𝐧𝐝 𝐅𝐢𝐫𝐬𝐭 𝐚𝐧𝐝 𝐋𝐚𝐬𝐭 𝐏𝐨𝐬𝐢𝐭𝐢𝐨𝐧 𝐨𝐟 𝐄𝐥𝐞𝐦𝐞𝐧𝐭: Binary Search
𝟒. 𝐃𝐞𝐭𝐞𝐜𝐭 𝐂𝐲𝐜𝐥𝐞 𝐢𝐧 𝐚 𝐋𝐢𝐧𝐤𝐞𝐝 𝐋𝐢𝐬𝐭: Linked List, Floyd’s Cycle Detection
𝟓. 𝐋𝐑𝐔 𝐂𝐚𝐜𝐡𝐞: HashMap + Doubly Linked List (Design, O(1) Operations)
𝟔. 𝐒𝐮𝐛𝐬𝐞𝐭𝐬: Recursion, Backtracking
𝟕. 𝐊𝐭𝐡 𝐋𝐚𝐫𝐠𝐞𝐬𝐭 𝐄𝐥𝐞𝐦𝐞𝐧𝐭 𝐢𝐧 𝐚𝐧 𝐀𝐫𝐫𝐚𝐲: Heap (Priority Queue)
𝟖. 𝐋𝐨𝐧𝐠𝐞𝐬𝐭 𝐏𝐚𝐥𝐢𝐧𝐝𝐫𝐨𝐦𝐢𝐜 𝐒𝐮𝐛𝐬𝐭𝐫𝐢𝐧𝐠: Dynamic Programming (DP), Strings
𝟗. 𝐖𝐨𝐫𝐝 𝐁𝐫𝐞𝐚𝐤: Dynamic Programming, Trie (Optional)
𝟏𝟎. 𝐃𝐢𝐣𝐤𝐬𝐭𝐫𝐚’𝐬 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦: Graphs, Shortest Path, Priority Queue
𝟏𝟏. 𝐇𝐚𝐦𝐢𝐥𝐭𝐨𝐧𝐢𝐚𝐧 𝐏𝐚𝐭𝐡: Graphs, Backtracking, Bitmask DP (Advanced)

[Atlas Press @realAtlasPress]

“Study microeconomics, game theory, psychology, persuasion, mathematics, and computers.”

— @naval

[SumitM @SumitM_X]

As a Java developer,

Please learn:

1. Core Java Mastery
- OOP principles (SOLID, DRY, KISS)
- Generics, Lambda expressions, Functional interfaces
- Java Streams API (map/reduce, collectors)
- Java Collections framework
- Java Reflection API
- Exception handling

2. Multithreading & Concurrency
- Thread synchronization, Executors, Locks
- Fork/Join framework
- Understanding of race conditions, deadlocks, and thread pools
- Concurrency utilities (java.util.concurrent)

3. Design Patterns & Architecture
- Common design patterns (Singleton, Factory, Builder)
- Architectural patterns (MVC, - Microservices, Event-Driven Architecture)
- Dependency Injection (DI), Inversion of Control (IoC)

4. Java Memory Management
- Garbage Collection (G1, CMS, ZGC)
- JVM heap and stack management
- Profiling tools (JProfiler, VisualVM)
- Analyzing memory leaks, thread dumps, and heap dumps

5. Classloaders and Reflection
- Custom class loaders
- Dynamic class loading
- Reflection for runtime behavior manipulation

6. Spring Framework & Spring Boot
- Spring Core (Dependency Injection, AOP)
- Spring Boot (Auto-configuration, Microservices support)
- Spring Security (OAuth2, JWT)
- Spring Data (JPA, Hibernate integration)
- Spring Cloud (Netflix OSS, Circuit Breakers)

7. Microservices Architecture
- Service discovery (Eureka, Consul)
- Load balancing, distributed tracing, and circuit breaking
- API Gateway (Zuul, NGINX)
- Asynchronous communication with Kafka, RabbitMQ

8. RESTful Web Services
- REST principles, building APIs
- JSON/XML handling
- API versioning, OpenAPI/Swagger documentation

9. Java I/O and NIO
- Blocking vs non-blocking I/O (NIO)
- Asynchronous I/O, channels, selectors
- File handling, serialization and deserialization

10. Reactive Programming
- Project Reactor, RxJava
- Event-driven architecture, backpressure
- Reactive streams, non-blocking IO

11. JPA/Hibernate
- ORM principles, entity relationships
- Lazy vs eager loading
- Caching strategies, query optimization

12. Database Optimization
- SQL optimization, indexing, and transactions
- NoSQL databases (MongoDB, Cassandra)
- ACID principles, CAP theorem

13. Distributed Systems
- Consistency, availability, partitioning (CAP)
- Event sourcing, CQRS (Command Query Responsibility Segregation)
- Distributed caching (Redis, Hazelcast)
- Tools: Apache ZooKeeper, Consul, etcd

14. Testing & TDD/BDD
- Unit testing (JUnit, Mockito)
- Integration and functional testing
- Behavior-driven development (Cucumber)

15. CI/CD & DevOps
- Continuous integration (Jenkins, CircleCI)
- Containerization with Docker
- Orchestration with Kubernetes
- Source control (Git), versioning, branching strategies

16. Performance Tuning & Optimization
- JVM tuning, garbage collection optimization
- Caching strategies, load balancing
-Tools for profiling and monitoring (Prometheus, Grafana)

17. Security
- Authentication/authorization (OAuth2, JWT)
- Secure coding (OWASP guidelines)
- Encryption (TLS/SSL), CSRF/XSS prevention

18. Cloud Platforms & API Gateways
- AWS, Azure, GCP deployment
-API Gateway (Zuul, NGINX) for rate-limiting and routing
- Cloud-native microservices tools

19. Logging & Monitoring
- Centralized logging (ELK Stack, Graylog)
- Distributed tracing (Jaeger, Zipkin)
- Application Performance Monitoring (APM)

20. Caching Mechanisms
- In-memory caching (Ehcache, Caffeine)
- Distributed caching (Redis, Memcached)
- Cache invalidation strategies (LRU, LFU)

21. Build Tools
- Maven and Gradle for dependency management
- Multi-module project handling
- Continuous delivery pipelines

22. Message Queuing Systems
- Kafka, RabbitMQ for event-driven microservices
- Pub/Sub models, distributed message brokers

[Chandana 🌻✨ @RoseOnX9]

Stop disrespecting your potential.
Wake up.

[Manifest_Lord @Manifest_Lord]

Doing 30 pushups within 5 minutes of waking up triggers a hormonal chain reaction most people never activate.

Here's what actually happens:

[Eva Ai @Eva200699]

表达能力差，正在拖你的后腿

2019年MIT教授帕特里克·温斯顿有一场1小时的《如何说话》讲座

播放量超过1900万，很多观点现在依然很实用

[Vineeth K @DealsDhamaka]

I know many Indians, including me, struggled with 1 thing

Not math, coding, problem-solving

Communication 🗣️

It was my biggest weakness when I joined consulting.

If it is something you face, listen to this 1-hour on How to Speak

Share 🔖 Bookmark

[Krishna MVS 🚩 @Krishnaa_____7]

@yedo_okati__ @TeluguScribe Ah policodu mi Khangress rice bag ye ra huka

[SCR @SCR01111]

🎯 MICROSOFT SOFTWARE ENGINEER PREPARATION BLUEPRINT (2026)

A realistic 3–4 month preparation plan for Software Engineer interviews. 📌

━━━━━━━━━━━━━━━━━━━━━━

⏳ Time Commitment

• Weekdays: 3–4 hours/day
• Weekends: 6–8 hours/day

Total: ~450–500 focused hours

Difficulty: ★★★★☆

━━━━━━━━━━━━━━━━━━━━━━

What Microsoft Looks For

★★★★★ Data Structures & Algorithms

★★★★★ Problem Solving

★★★★★ Communication

★★★★☆ Computer Science Fundamentals

★★★★☆ Low-Level Design

★★☆☆☆ High-Level Design (mainly for experienced roles)

★★★★★ Behavioral Interviews (STAR)

━━━━━━━━━━━━━━━━━━━━━━

📅 Month 1 (120 Hours)

Build strong DSA fundamentals.

Topics

• Arrays
• Strings
• Hashing
• Linked Lists
• Stacks & Queues
• Binary Search
• Sorting
• Recursion

Resources

Striver A2Z
https://t.co/OCO3vFs2N0

NeetCode Roadmap
https://t.co/SfgneaijB4

LeetCode
https://t.co/mrFXGOEA4h

━━━━━━━━━━━━━━━━━━━━━━

📅 Month 2 (120 Hours)

Advanced problem solving.

Topics

• Trees
• BST
• Heaps
• Graphs
• Greedy
• Tries
• Backtracking
• Dynamic Programming

Resources

Take U Forward
https://t.co/hnWUucaGLp

CP-Algorithms
https://t.co/5wjfpJxSJ0

LeetCode
https://t.co/mrFXGOEA4h

━━━━━━━━━━━━━━━━━━━━━━

📅 Month 3 (100 Hours)

Computer Science Fundamentals.

Topics

• Operating Systems
• DBMS
• Computer Networks
• Object-Oriented Programming
• SQL

Resources

OSTEP
https://t.co/4NrVmK3xo8

DBMS
https://t.co/QNERD0cdCJ

Computer Networks
https://t.co/2VItCL9SW5

SQLBolt
https://t.co/r9eA4aXvle

Refactoring Guru (OOP & Design Principles)
https://t.co/AdTDRYFLzw

━━━━━━━━━━━━━━━━━━━━━━

📅 Month 4 (100 Hours)

Interview Preparation.

Low-Level Design

Refactoring Guru
https://t.co/3iZGOwVQxm

Kunal Kushwaha (LLD Playlist)
https://t.co/ewUPe17fzk

High-Level Design

System Design Primer
https://t.co/kj8QBHCZvh

ByteByteGo
https://t.co/l8uiQ4OWK4

Gaurav Sen
https://t.co/hkCJu5qNQ6

Behavioral Interviews

Tech Interview Handbook (STAR Method)
https://t.co/mMlxWjf77x

Mock Interviews

Pramp
https://t.co/in5oCLssOa

https://t.co/dyQfNTZcrD
https://t.co/UBghBgaphh

━━━━━━━━━━━━━━━━━━━━━━

Projects (50+ Hours)

If you don't have internship experience,

your projects become your experience.

Instead of building simple CRUD applications,

build 2 production-ready backend projects.

Recommended Stack

• Java
• Spring Boot
• PostgreSQL / MySQL
• Docker
• Redis
• Git & GitHub

Your project should include:

✓ JWT Authentication

✓ Role-Based Access Control (RBAC)

✓ Spring Security

✓ REST APIs

✓ Proper Database Design

✓ Validation

✓ Exception Handling

✓ Logging

✓ Pagination & Filtering

✓ Docker

✓ Redis Caching

✓ Kafka / RabbitMQ (Bonus)

✓ Unit & Integration Testing

✓ GitHub Actions (CI/CD)

✓ Swagger / OpenAPI

✓ Clean Architecture

✓ Proper README

✓ Live Deployment

Suggested Projects

• Banking System

• E-Commerce Backend

• Food Delivery Backend

• Ride Booking Backend

• Inventory Management System

• URL Shortener

• File Storage Service

━━━━━━━━━━━━━━━━━━━━━━

Resume

Jake's Resume Template

https://t.co/oHgJqri9tN

GitHub Skills

━━━━━━━━━━━━━━━━━━━━━━

Microsoft Interview Tips

• Clarify the problem before coding.

• Explain your approach first.

• Write clean and readable code.

• Handle edge cases.

• Test your solution.

• Communicate throughout the interview.

• Use the STAR framework for behavioral questions.

━━━━━━━━━━━━━━━━━━━━━━

Common Mistakes

✗ Grinding only LeetCode

✗ Ignoring CS Fundamentals

✗ Weak communication

✗ No mock interviews

✗ Projects you can't explain

━━━━━━━━━━━━━━━━━━━━━━

This roadmap won't guarantee a Microsoft offer.

But if you consistently invest 450–500 focused hours into these areas, you'll build the skills needed for Microsoft—and many other top product-based companies.

Bookmark this.

[Rajesh Agarwal @Rajesh992510253]

Claude FULL COURSE 1 HOUR (Build & Automate Anything)

[Spider @SpiderAlert24]

Kangana is absolutely right here. These are pure Gutter Chhap Gen Z.

[Magnus Lindberg @MagnusLindbrg]

The only 7 moves you need to build muscle at home.

1. Pushups

[వీరేంద్ర @BunnyXTarak]

🚀 Hiring Alert

Agentic AI Engineer (0–1 Year)
📍 Bangalore
🏢 Things Alive Solutions Pvt. Ltd.

Build AI apps with LLMs, RAG, LangChain/LangGraph, FastAPI & more.
Freshers + up to 1 year exp welcome (projects/internships count).

📩 Resume: [email protected]
📞 9731902905

#Hiring #AgenticAI #GenerativeAI #LLM #Python #LangChain #RAG #FastAPI #AIJobs #Freshers #BangaloreJobs

[codila @0xCodila]

Google just released free 2-hour course on full agent engineering: 1 prompt → agent teams → loops → graphs from 0% to 100%:

10% → 38:46 - build your first agent
30% → 54:46 - connect MCP tools
55% → 1:12:43 - Loop engineering: 4 ways to run agents
70% → 1:20:57 - Graph engineering
100% → 2:22:31 - the full system that works while you sleep

most people build one agent and stop there - this is the full path to a system that runs without you from scratch

watch it today - then read the full graph engineering playbook below ↓

[SCR @SCR01111]

10 blogs every backend engineer should read before their next interview.📌📋

Read these backend engineering articles instead.

1. Designing Data-Intensive Applications (Free Chapter)
https://t.co/o8qZS3Yjlz

One of the best books on distributed systems.

2. Martin Fowler
https://t.co/sbPUyAts0Q

Architecture, microservices, refactoring, and software design.

3. ByteByteGo Blog
https://t.co/7ne2Eer9dp

System design explained with practical examples.

4. High Scalability
https://t.co/qUKqiHQZp3

Real-world architectures from companies serving millions of users.

5. Cloudflare Blog
https://t.co/lQb9f3VqBm

Networking, performance, distributed systems, and security.

6. Netflix TechBlog
https://t.co/N0rsBwRzPy

How Netflix builds and scales backend systems.

7. Uber Engineering
https://t.co/3XSUI2W64h

Large-scale backend and distributed systems.

8. Stripe Engineering
https://t.co/8W6KMiMndK

Payments, APIs, reliability, and backend architecture.

9. AWS Architecture Blog
https://t.co/ilfGIKORqv

Scalable backend design from AWS architects.

10. Google Engineering Blog
https://t.co/gJK8usaTdA

Infrastructure, distributed systems, AI, and engineering practices.

Reading one article a day will teach you things that most backend tutorials never cover.

Bookmark this.

[Arish Ai @Tech_Arish]

🚨 URGENT: Claude can now CREATE a YouTube channel from scratch and take it to monetization in just 90 days. 100% free.

Here are 8 prompts to achieve it:

[Darshil | Data Engineer👨🏻‍🔧 @parmardarshil07]

You don't need 10 years of experience to stand out in data engineering.

You just need to master the fundamentals that 90% of people skip.

Here are 5 foundations you need 👇🏻

[Shreyas Nalle @ShreyasNalle]

CampusX is the best Youtube channel to learn everything about AIML