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vkshdev/readme.md

Hi, I'm Vikash 👋

reinforcement learning*


👤 About Me

I'm a B.Tech CSE (AI/ML) grad with a technical knowledge from Diploma in Electrical Engineering.

I'm also an enthusiastic learner in DevOps, Cybersecurity and Game dev. I love building MVPs and my aim is to blend AI, Electrical Engineering and Modern Computing to create real-world solutions.

Previously, I freelance/part-time worked as MLE (AI model trainer) at Mercor, where I focused on training and refining small models.


🛠️ Tech Stack & Skills

Programming Languages

Python Rust Flutter-Dart JavaScript C

Tools & Platforms

Git GitHub VS Code Android Studio Google Colab Kaggle Cursor WordPress

AI / ML

NumPy Pandas Matplotlib

Scikit-Learn TensorFlow Hugging Face Weights & Biases

Cloud & DevOps

GCP Vertex AI Cloud Run Cloud Storage

BigQuery Looker Studio AppSheet Docker CI/CD GitHub Actions

Cybersecurity

OWASP Kali Linux ZAP Burp Suite


🌱 Currently Learning

  • Advance ML for time-series, NLP, CV, transformer and fine-tuning
  • Rust for systems-level and performance-critical programming
  • Flutter & Dart for cross-platform development
  • GCP services for Vertex AI, Cloud Run and data pipelines
  • Active Kaggle competitor and exploring models
  • Offensive Cybersecurity for CTF techniques, OWASP tooling and penetration testing

🎯 Interests

  • AI/ML - ML modeling and validation skills
  • Cloud Computing & DevOps - automation, pipelines and scalable infrastructure
  • Cross-Platform Development - Flutter for clean and hazzle free dev
  • Cybersecurity - CTF challenges, OWASP tools and ethical hacking
  • Game Dev - exploring game mechanics & design logic

💡 Goals

  • To master complete AI/ML lifecycle: data engineering, model development, deployment and monitoring
  • Rank as Kaggle Expert and build advanced proficiency in GCP and full DevOps + MLOps stack
  • Create something practical systems by blending AI with Electrical Engineering
  • Become a full-stack AI engineer and indie hacker while contributing to the open-source community

Profile Views

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  1. deyana deyana Public

    De-yana is privacy-first desktop AI assistant. Runs 100% locally on your windows with local models and memory.

    Rust

  2. Deep_Learning_Project Deep_Learning_Project Public

    Assignment: Implementation of a feedforward neural network with backpropagation on Fashion-MNIST. Includes comparison of Cross-Entropy vs MSE loss functions, experiment tracking with Weights & Bias…

    Python

  3. stock-market-predictor stock-market-predictor Public

    Supports NIFTY, SENSEX & top NSE stocks with real-time data and sentiment analysis.

    Python 1

  4. 3D-solar-system-simulator 3D-solar-system-simulator Public

    This simulator accurately renders all planets with procedurally generated textures, moons, and orbital mechanics on web app.

    JavaScript

  5. klubconnect klubconnect Public

    Professional club management app for colleges.

    Dart

  6. TensorTonic-Solutions TensorTonic-Solutions Public

    My solutions to TensorTonic problems

    Python