Referred Link - https://www.instagram.com/reel/C7B-zwrytPP/?igsh=aTVhaTV3enFuNzM2

 Referred Link - https://www.linkedin.com/posts/denis-panjuta_top-careers-in-ai-1-machine-learning-engineer-activity-7211276996339757056-0QxK

1. Machine Learning Engineer : Develop machine learning models for real-world applications.
2. Computer Vision Engineer : Create systems to interpret visual data.
3. Deep Learning Engineer : Specialize in complex deep learning tasks.
4. Data Scientist : Analyze data to drive decision-making.
5. NLP Engineer : Create systems to process human language.
6. AI Trainer : Develop training programs for AI technologies.
7. AI Research Scientist : Conduct groundbreaking AI research and development.
8. AI Product Manager : Oversee AI product development and alignment.
9. AI Algorithm Specialist : Optimize algorithms for specific AI problems.
10. AI Data Analyst : Analyze large datasets to support AI development.
11. AI Solutions Architect : Design AI solutions for business needs.
12. AI System Integrator : Integrate AI into existing systems efficiently.
13. Robotics Engineer : Build and program intelligent robotic systems.
14. AI Consultant : Advise on integrating AI solutions for strategic improvement.
15. AI Business Analyst : Identify opportunities to improve processes using AI.

#AICareer, #RoadMap, #Jobs, #ArtificialIntelligence

 Referred Link - https://www.linkedin.com/posts/sagarpandeysp_ultimate-list-of-free-resources-for-programmers-activity-7204467099484790785-KGvS

#FreeResources, #Programmers

Referred Link - https://www.linkedin.com/posts/maheshma_performanceengineering-testing-softwareengineering-activity-7203946221932093440-7jWO

To ensure optimal product performance, thorough tuning and optimization are essential. We must concentrate on key areas for performance enhancement, categorized as follows:

1. **Code Tuning:**
- Optimization of code across the entire product is crucial. Leverage code profilers to identify and optimize code segments. Assess for memory leaks, CPU optimization, and resource consumption concerns.

2. **Configuration Tuning:**
- Fine-tune configurations system-wide. Experiment, test, and optimize settings like Tomcat/WebLogic JDBC and thread pools. Proper configuration with optimal values is vital for overall product performance.

3. **Database Tuning:**
- Optimizes the database by fine-tuning SQL queries, indexing, and connection pooling. Utilize tools like Oracle's AWR report for in-depth analysis and fine-tuning.

4. **Infrastructure Tuning:**
- Benchmark hardware and instance sizes to align with the workload. Determine CPU and RAM requirements and the number of Kubernetes pods needed and ensure they meet workload and SLA expectations. This process involves planning, testing, tuning, and retesting.

5. **Architecture Tuning:**
- Evaluate the architecture and consider changes such as incorporating a CDN for improved performance across various locations or implementing a queuing system to enhance performance in specific areas."

6. **Network Tuning:**
- Focuses on vital aspects in today's distributed systems, addressing issues such as DNS, protocols, latency, and firewall tuning. Optimization efforts should target effective tuning for better performance, especially when the database is situated in one region and customers are in another.

Tags:

#performanceengineering hashtag#testing hashtag#softwareengineering hashtag#softwaredevelopment hashtag#technology

 Referred Link - https://www.linkedin.com/posts/alexxubyte_systemdesign-coding-interviewtips-activity-7203783156343132160-eFFA

Check out these 8 tips to boost frontend performance:

1 - Compression
Compress files and minimize data size before transmission to reduce network load.

2 - Selective Rendering/Windowing
Display only visible elements to optimize rendering performance. For example, in a dynamic list, only render visible items.

3 - Modular Architecture with Code Splitting
Split a bigger application bundle into multiple smaller bundles for efficient loading.

4 - Priority-Based Loading
Prioritize essential resources and visible (or above-the-fold) content for a better user experience.

5 - Pre-loading
Fetch resources in advance before they are requested to improve loading speed.

6 - Tree Shaking or Dead Code Removal
Optimize the final JS bundle by removing dead code that will never be used.

7 - Pre-fetching
Proactively fetch or cache resources that are likely to be needed soon.

8 - Dynamic Imports
Load code modules dynamically based on user actions to optimize the initial loading times.

#systemdesign hashtag#coding hashtag#interviewtips