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About Me

name: Ishaan Rastogi
role: AI/ML Engineer in the making
location: India
current_focus:
  - AI/ML product development
  - NLP and recommendation systems
  - LLMs for growth of Indian industries
  - Vertical & Horizontal Suites with AI Pipelines
  - Java DSA and core CS problem solving
learning_now:
  - model deployment and optimization
  - production-friendly data workflows
  - flutter framework and dart language
  - DSA in Java
philosophy: build fast, learn faster, ship practical solutions
motto: Imagination should never die! 🪽
  • Building projects that move from notebooks to usable products.
  • Deepening engineering fundamentals with Java, DSA, and system-level thinking.
  • Exploring AI ideas where product impact is visible, not just experimental.

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Snapshot

What I Build

  • Applied AI/ML systems for real-world product workflows
  • NLP and recommendation prototypes with measurable outcomes
  • Java + DSA focused engineering foundations

2026 Focus

  • Shipping production-lean AI MVPs

  • Expanding backend and data pipeline depth

  • Competitive coding + interview problem solving

Quick Profile Stats

  • Focus Areas: AI/ML, NLP, Recommender Systems, Java DSA

  • Active Tracks: Product Prototypes, Model Iteration, Problem Solving

  • Top Public Repos: Med-Map, SwayUp.ai, IsoTrust.ai, AIML_BigProjects

  • Collaboration: Open to AI/ML and backend-heavy engineering projects

What I Am Working On

Building
Applied AI Products
From idea to usable prototypes
Practicing
Problem Solving
Consistency in coding rounds
Exploring
ML Intelligence Layers
Recommendations and text systems
Learning
Model Ops Basics
Making ML production ready

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Featured Repositories

Repository Domain Why it matters
Med-Map Health-tech Practical web-first project direction with product thinking.
SwayUp.ai Applied AI Core AI build track for experimentation and iteration.
IsoTrust.ai AI + Trust Blends AI implementation with reliability/compliance angle.
Prime-Mood Recommender/NLP Recommendation-oriented concept with user-intent signals.
AIML_BigProjects AI/ML Portfolio Collection of larger experiments and model pipelines.
Java DSA + OOP Foundation repository for algorithmic and interview prep.

Stack Radar

💡 I've utilised this stack across my projects, but I may not be proficient with all of it. Always learning and exploring!

🖥️ Frontend Stack

🔤 Frontend Languages

HTML5 CSS3 JavaScript TypeScript Dart

🧱 Frontend Frameworks & Libraries

React Bootstrap Flutter EJS Vite

⚙️ Backend Stack

🧠 AI / ML / Deep Learning

Python TensorFlow Keras scikit--learn

📊 Data Science & Analytics

Pandas NumPy Matplotlib Seaborn Jupyter Streamlit

👾 NLP & LLM Tools

NLTK LangChain OpenAI

🌐 Web Backend

Node.js Express Flask FastAPI

📦 Databases & Storage

SQL MySQL PostgreSQL Firebase

☁️ DevOps & Tooling

Docker Git GitHub Shell Markdown

🧱 Core Programming

Java C++ C Ruby

📚 Research & Knowledge Tools

ResearchGate Google Scholar Perplexity Gemini NotebookLM Claude

Coding Activity

repos per language most commit language

Trophies

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Contribution Graph

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Streaks and Milestones

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Milestones

  • Built and maintained multiple AI-first repositories in active development.
  • Consistent project momentum across Python, Jupyter, Java, and JavaScript tracks.
  • Expanded from learning experiments toward product-oriented implementations.

Contribution Snake

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Dev Quote

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Now Building

Month Current Build Track Shipping Goal
May 2026 Planning, exploration, and backlog shaping Prepare next build track and align monthly shipping milestones
Apr 2026 PyJ-DSA: algorithm implementation consistency work Improve problem-solving speed through structured practice
AIML_MiniProjects: training pipeline stabilization Stabilize model workflows for repeatable monthly progress
Mar 2026 LeetSync: delivery-focused polish work Improve release readiness by tightening tests and workflows
IsoTrust.ai: model experimentation and iteration Improve model quality with cleaner evaluation and iteration loops

♻️ Updating this block every month!.

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Open to building in AI/ML, NLP, recommender systems, and backend-heavy product teams.

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