First Interview of My Job Search: Lessons & Next Steps

Sagar jariwala — Mon, 22 Sep 2025 17:41:11 +0000

Last week marked my second week of job hunting and I just completed my first interview.
It was a mix of wins and wake-up calls:

✅ The interviewer was impressed with my AI/ML skills and I answered questions on frontend and backend.

⚠️ But I stumbled on some fundamentals—things like cross-platform concepts, hosting differences, types of dependency injection, and the reasoning behind microservices and SOLID principles.

The best part? Constructive feedback.

“When you go for an interview, you must be able to represent your project precisely and clearly.”

I’m taking that seriously. Here’s my plan:

Revisit the basics: write one-paragraph explanations and real examples for each topic.

Sharpen project storytelling: 90-second pitch using context → role → challenges → impact.

Prepare for the practical round scheduled later this week.

First interviews aren’t just about getting the job—they’re real-world practice sessions and a chance to grow.
Feeling grateful for the feedback and excited to improve before the next round. 🚀

Automating CAPA Report Generation from Images Using n8n 🤖📸

Sagar jariwala — Sun, 21 Sep 2025 20:13:41 +0000

Workflow Overview

Webhook Input:
The workflow receives an image via a webhook (tested using Postman).

Validation:
If no image is found → sends an error email.
Converts the image to Base64 for processing.

Industry Relevance Check:
Determines if the image is related to the industry.
If not → sends an email stating the image is not industrial.

Image Recreation & Processing:
Recreates the image from Base64.
Processes it to extract all information required for a CAPA report.

HTML Generation:
Converts the extracted information into an HTML report.

Email Delivery:
Sends the final CAPA report via email.

Why I Built This
To automate manual report generation and reduce human error.
To experiment with n8n’s workflow automation capabilities.
To explore image processing and industry-specific validation in automation pipelines.

Achieved measurable results:
Saves ~60% of the time previously spent on manual report creation
Improves efficiency by ~50% in CAPA report processing
Reduces manual work by ~70%, minimizing human errors

Tools & Tech
n8n – for workflow orchestration
Postman – for testing webhook inputs
Base64 encoding/decoding – for image handling
Email node in n8n – for notifications

Summary
This workflow demonstrates how automation can:
Streamline repetitive tasks
Integrate multiple services
Ensure timely reporting
Deliver measurable productivity improvements in industrial reporting

DEV Community: Sagar jariwala

First Interview of My Job Search: Lessons & Next Steps

Automating CAPA Report Generation from Images Using n8n 🤖📸