CoderRange - AI , Big data , Data Science !.

### Most Common DSA Patterns (as asked in FAANG interviews)

| Time | Session |
| ---- | ------- |
| 6:30 PM | Welcome + Icebreaker + What to Expect Tonight |

– Introduction to FAANG mindset

– Audience poll (Kahoot/Slido)

– Surprise gifts & shoutouts |
| 6:45 PM | DSA Preparation Myths Busted

– How Google and Netflix REALLY interview

– Patterns > Problems: Why brute-force learners fail |
| 7:00 PM | Top 12 DSA Patterns Overview (Live Explainer) |
| 7:15 PM | Pattern 1: Sliding Window Deep Dive (Live Code) |
| 7:30 PM | Pattern 2: Two Pointers (With Visual Visuals) |
| 7:45 PM | Pattern 3: DP Made Simple – From Problem to Code |
| 8:00 PM | Live Google-style Mock Interview (1-on-1 + Feedback) |
| 8:30 PM | Resume & LinkedIn Tips to Crack FAANG |
| 8:50 PM | How to Practice + 90-Day FAANG Pattern Planner |
| 9:00 PM | Q&A + Group Access + Resource Drop (PDF + GitHub) |

These companies repeat patterns, not problems.
Here are the 12 golden patterns most frequently asked (Google, Amazon, Netflix, Microsoft):

| # | Pattern Name | Topics Covered | Sample Questions (FAANG-style) |
| --- | ------------ | -------------- | ------------------------------ |
| 1 | Sliding Window | Arrays, Strings | Max sum subarray, Longest substring without repeating chars |
| 2 | Two Pointers | Arrays, LinkedLists, Strings | Container With Most Water, Palindrome check |
| 3 | Fast and Slow Pointers | Linked Lists | Cycle Detection, Middle of Linked List |
| 4 | Merge Intervals | Arrays of intervals | Merge Intervals, Insert Interval |
| 5 | Cyclic Sort | Arrays, Sorting | Missing Number, Find Duplicate |
| 6 | Top K Elements | Heap, QuickSelect | K Closest Points, Kth Largest Element |
|

7 | Backtracking | DFS, Recursion | N-Queens, Word Search, Sudoku Solver |
| 8 | Binary Search | Arrays, Infinite Search Space | Search Rotated Array, Peak Element |
| 9 | Breadth-First Search (BFS) | Trees, Graphs | Level Order Traversal, Shortest Path |
| 10 | Depth-First Search (DFS) | Graphs, Trees | Connected Components, Island Count |
| 11 | Dynamic Programming | Recursion + Memo | Knapsack, Longest Subsequence, Edit Distance |
| 12 | Greedy | Sorting + Decision | Activity Selection, Huffman Coding

|

📍 Live on YouTube + Zoom + In-person (Bangalore/Hyderabad)
👥 Expected Audience: 500+
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Are you a Data Analyst with 2-8 years of experience craving the next-level skills to crack complex datasets, optimize pipelines, and deliver real-time business impact?
If yes, this meetup is your golden ticket!

***

🎯 What we’re covering:
🚀 Extreme Real-Time Analytics & Data Internals

• Architecting lightning-fast data pipelines that don’t break under pressure
• Understanding streaming data platforms (Kafka, Spark Streaming) — beyond the basics
• Real-time anomaly detection, predictive analytics, and instant dashboards

📊 Advanced Data Modeling & Query Optimization

• Deep dive into SQL internals and performance tuning for massive datasets
• How to design scalable, maintainable data models for complex business scenarios
• Data warehouse vs. data lake vs. lakehouse: pros, cons, and use cases

🛠️ Tools & Techniques You’ll Love

• Leveraging Python & R for advanced stats and machine learning
• Automation hacks for ETL, data cleaning, and data quality checks
• Hands-on tips for using BI tools like Power BI, Tableau with real-time data

📈 What real employers expect from senior analysts

• Storytelling with data under extreme time constraints
• Cross-functional collaboration: influencing product and engineering with data
• From data wrangling to strategic decision-making: your complete playbook

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## Unlock the Power of Agent Mesh with Solace – A Practical Tour

Agents are great at thinking—but how can they coordinate, adapt, and collaborate without brittle call chains?

Join Giri Venkatesan (Solace) for a hands-on session exploring Agent Mesh, a shared event backbone that enables autonomous agents to discover collaborators, orchestrate workflows, and adapt dynamically in real time.

### What You’ll Learn

• Intent Streams, not endpoints: Use Noun–Verb–Properties topics to make intent obvious, searchable, and self-routing—no service directory required.
• Dynamic orchestration & discovery: Let the best-suited agents step in, hand off work, and compose workflows on the fly.
• Gateways made simple: Convert REST, webhooks, or Slack commands into intents with request/reply correlation that feels like APIs but behaves like events.
• Reliability patterns that stick: Implement idempotency keys, retries/back-pressure, dead-letter queues (DLQs), and replay for fault recovery and auditability.
• Observability you can follow: Track end-to-end traces and causal “conversations” between agents for easy debugging and explainability.
• Interop where you are: Plug in LLM tools or MCP/A2A sources without rewriting agents—treat them as event participants.
• Live demo: See a fragile function-call flow transform into a resilient, fan-out “intent → fulfill → reply” conversation.

### Who Should Attend

• Agent/LLM Builders – turn brittle tool-call chains into intent-based, reply-correlated flows.
• Platform & SRE Teams – add retries, idempotency, DLQs, and replay you can operate.
• Data/ML (MLOps/RAG) – stream timely data with lineage and easy reprocessing.
• API/Integration Teams – bridge REST/webhooks/SaaS into intents via gateways.
• Architects/Tech Leads – leverage N-V-P topics for discovery, domain boundaries, and evolution.
• Security/Compliance Teams – enforce topic-level access and maintain audit-ready trails.

> Prior exposure to Event-Driven Architecture (EDA) is a plus!

### About the Speaker

Giri Venkatesan – Architect and Developer Advocate at Solace, with decades of hands-on experience in integration technologies, APIs, microservices, and event-driven systems.
Giri explores the intersection of AI and EDA, focusing on how autonomous agents and GenAI models operate within distributed, event-driven platforms. He’s passionate about practical insights, forward-thinking ideas, and sharing his knowledge with developers and architects alike.

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