DUAL PROFILE • TECH & CREATIVE

About

Dedicated software engineering systems and creative video content creation.

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● Backend Developer
Software Engineering • Systems

Python & Java Developer

I am a software developer focused on building robust, scalable systems using Python and Java. I enjoy tackling architectural problems, engineering resilient backend services, and writing clean, secure code that performs reliably under load.

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Backend Architecture: Modular services in Python 3 and Java 17 designed with clean OOP principles and predictable logic.
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API Security & Reliability: Strict payload validation, authentication verification, and robust data pipelines.
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GenAI Application: Certified in GenAI with Python, prompt structuring, and LLM automation logic.
TECHNICAL STACK & METHODOLOGY
Python 3 Java 17 Backend Architecture REST APIs GenAI with Python API Security Git / CI/CD Object-Oriented Design
View Projects & Repos → GitHub (@yashsuthar7984) ↗
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● Video Creator
Creative Studio • Visual Storytelling

Video Editor & Automotive Cinematographer

When I step away from the IDE, I focus my creative energy into video editing and automotive cinematography. I actively experiment with kinetic cuts, rolling shots, exhaust sound design, and car culture across two dedicated channels.

@framed.by.yash Video Editing

Dynamic kinetic cuts, rhythmic beat transitions, sound design, and precision color science.

Visit Instagram Profile →
@rapidlens.media Automotive Media

High-octane car cinematography, rollers, acoustic exhaust capture, and speed ramping.

Visit Automotive Channel →
CREATIVE DISCIPLINES & FORMATS
Kinetic Video Editing Sound Design & Sync Color Grading Automotive Cinematography Rolling Shots (Rollers) 9:16 Vertical Reels 16:9 Widescreen Cinema
Watch Video Showcase → Channel Link ↗
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✓ Verified Credential
GenAI with Python Certificate - Yash Suthar
View Full Photo →

GenAI with Python

Course Completed

Coursework covering principles of generative models, foundational Python scripting, prompt structuring, and LLM application design.

Course Highlights

  • GenAI Principles: Model workflows, tokens, and generative system architecture
  • Python Scripting: Data handling, API interaction, and core logic pipelines
  • Prompt Techniques: Context structuring, reasoning patterns, and AI integration