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Asechan Chib

Building systems that think, and platforms that scale. Full-Stack & ML Developer based in Bengaluru.

About

I am a CS Engineering student at Manipal Institute of Technology, Bengaluru, specializing in Computer Science Engineering (Data Science) (2023–2027).

I build full-stack systems and ML pipelines — from query optimizers to clinical signal-processing tools. Beyond code, I've founded and scaled a registered NGO and led a 1,000+ member photography club. I'm passionate about building systems that think and platforms that scale.

Skills & Tools

Languages

  • Python, Java, JavaScript
  • C, SQL
  • HTML, CSS

ML & AI

  • PyTorch, TensorFlow, CNNs
  • OpenCV, scikit-learn
  • NumPy, Pandas, Matplotlib
  • LLM Prompt Engineering

Web & Backend

  • React.js, Node.js
  • Spring Boot, FastAPI
  • REST APIs

Databases & Cloud

  • MySQL, MongoDB
  • AWS, Docker
  • Git, GitHub Actions (CI/CD)

Experience

2022–2023

Lead Developer, KCMUN '22

Designed and automated a delegate registration & payment pipeline (MERN stack) processing 360 confirmed registrations; built conference-wide features (committee pages, ROP viewer, dynamic scheduling) serving 500+ users; optimized responsive UI and asset delivery.

2021

Founder & Lead Developer, Raunak Foundation

Founded and scaled a registered NGO to 6 regional branches, impacting 300+ underprivileged children; architected the foundation's web platform (FastAPI + MySQL), achieving 1.9s page load and 200+ monthly visitors; drove organic growth via structured data markup and SEO.

Beyond Code

  • President, Photography Club (2024–2025) — scaled to 1,000+ members, produced 12+ events including 3 auditorium-scale shows.
  • Media Head, Neura AI & CyberSpace Club (2024–2025) — media/content strategy across 2 tech clubs.
  • King Constantine Medal, Round Square — recognized for global youth leadership and community impact.
  • Top 20 nationally, Cisco Next Gen Systems League (CNSL), 2026.

Selected Work

View Project

AI SQL Query Optimizer

Java 17

Automated pipeline that parses SQL queries into 14 AST features to predict runtime and flag slow queries via a GradientBoosting model.

Sleep Apnea Detection System project preview
View Project

Sleep Apnea Detection System

PyTorch

End-to-end signal-processing pipeline for automated sleep apnea detection from audio using Mel spectrograms and a custom CNN.

Neural Preset Generator project preview
View Project

Neural Preset Generator

PyTorch

Hybrid Reinhard + custom CNN style-transfer pipeline enabling real-time colour grading on 4K+ images.

Certifications

Get in touch

Whether you have a question, a project in mind, or just want to say hi, I'd love to hear from you.

Direct Contact

asechanchib@gmail.com

+91 89510-53951

Socials

LinkedIn GitHub