advik@system:~$ ./ident.sh --verbose --direct

System Status: [ONLINE]

Uptime: 328h

Location: Gujarat, IN

Kernel: Advik_OS 1.0.0

ADV_IK

Core Directive: AI_Education

Memory Usage: 4.19 TB

System Clock:

Referral Code: active/valid

// Core.Modules :: Loaded

> Full-Stack Architecture> Machine Learning> Educational Products> FastAPI> PyTorch

Download_Resume.sh

Scroll

Identity // System Info

USER PROFILE.exe

bash — advik@system

Advik_OS v1.0.0 initialized.

Type 'help' for a list of commands, or 'ls' to view files.

advik@system:~$ cat about.txt

I'm a full-stack developer who has turned years of freelancing into a full-time career. Beyond the screen, I am also an active trader and investor navigating the equity, debt and commodity markets, with a strong foundation in technical chart analysis and fundamental research. I specialize in developing robust, scalable architectures that handle complex operations efficiently.

advik@system:~$

> [SYSTEM]: Optimized by Paneer & Lofi.Status: Active Shell

Languages & Tools // System.Dependencies

// ai-ml.sys

AI & Deep Learning

Python

PyTorch

Scikit-Learn

Pandas

NumPy

Matplotlib

Seaborn

HuggingFace

W&B

// frontend.sys

Frontend Architecture

JavaScript

Next.js

React

Vue.js

Tailwind

Bootstrap

Figma

Lovable

// backend.sys

Backend & Systems

Node.js

FastAPI

PostgreSQL

Supabase

Prisma

Redis

n8n

// devops.sys

DevOps & Workflow

Cursor

VS Code

Docker

Linux

Git

GH Actions

Deployed.Modules // Work

Featured.Proj // Media

Anivara TV

$ Premium media streaming experience built with Next.js — featuring AI-powered recommendations, watch history, voice assistance, seamless API integrations, and an immersive cinematic dark interface.

[STATUS: ONLINE]

Execute Launch

DL.Proj // Model

Music Classifier

$ Deep learning based music genre classifier designed for noisy mashup environments, leveraging stem separation and synthetic audio mixtures.

[STATUS: ONLINE]

Execute Launch

StudiQ Quiz

Intelligent educational platform and interactive quiz system. Built to transform how students learn and practice for their exams.

[STATUS: UNDER_DEVELOPMENT]

Audixa

Modern music streaming platform powered by Next.js and YouTube Music — AI-curated recommendations, voice controls, ad-free listening.

[STATUS: UNDER_DEVELOPMENT]

CogniTutor

Personalized AI learning platform that transforms user goals into structured, engaging, and adaptive learning experiences.

[STATUS: UNDER_DEVELOPMENT]

Kaggle.Notebooks // ML_Models

// kaggle

Face Gender & Age Prediction

Custom CNN from scratch — predicts gender (classification) & age (regression) from face images.

PyTorchCNNComputer Vision

Hotel Booking Prediction

End-to-end ML pipeline — EDA, feature engineering, 8 model comparison with GridSearchCV tuning.

Scikit-learnXGBoostPandas

Sentiment Analysis NLP

Multi-class sentiment classification using dual TF-IDF (word + char) with Voting Classifier ensemble.

TF-IDFNLPScikit-learn

Comment Category Prediction

80+ engineered features, dual TF-IDF, chi-squared selection — LinearSVC with class balancing.

NLPFeature Eng.LinearSVC

Protein Structure Prediction

Bi-RNN, Bi-GRU & CNN-LSTM for Q3/Q8 protein secondary structure — sequence-to-sequence deep learning.

Messy Mashup Genre Classifier

Music genre from noisy mashups — ResNet50 on mel-spectrograms, 10 iterative experiments, heavy TTA.

PyTorchResNet50Audio ML

Macro F1

Mine: 0.906Top: 0.99

092% of top

Startup_OS // R&D Division

CorrZen Labs

> An independent research and development ecosystem. CorrZen Labs is where complex backend engineering meets futuristic digital design. I am pioneering high-performance infrastructure, integrating AI pipelines, and experimenting with next-generation web platforms to engineer scalable digital experiences.

[/] Core_ArchitectureDesigning distributed backend systems and predictive ML pipelines that act as the unseen, high-velocity engine for modern B2C applications.

[/] Active_Build: AudixaCurrently architecting a modern, high-performance music streaming platform. Designing AI-curated recommendation pipelines and seamless playback systems.

Connect_To_CorrZen.sh

// Visual.Freq.db