Skip to content
View bluntjudg's full-sized avatar
🎯
Focusing
🎯
Focusing

Block or report bluntjudg

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
bluntjudg/README.md

Hi πŸ‘‹, I'm Ayush S. Pangaonkar

AI Systems Builder | Applied ML Engineer | Automation Architect

Build. Break. Learn. Improve. Repeat.


🧠 About Me

I'm an AI & ML engineer who focuses on building intelligent systems, not just models. Currently an AI Engineer at WOLFx Digital Agency, Mumbai, building automation workflows, backend systems, and AI-driven products.

I work at the intersection of:

  • Large Language Models
  • Backend Engineering
  • Automation Pipelines
  • Production-Ready ML Systems

I enjoy designing AI systems that reason over data, automate workflows, and integrate into real-world business use cases.


πŸ’Ό Experience

AI Engineer β€” WOLFx Digital Agency, Mumbai (Feb 2025 – Present)

  • Built automation workflows using AI and backend technologies to streamline operations
  • Developed scalable content creation systems for digital marketing, including Reddit marketing tools for audience engagement
  • Contributed to SaaS product development (asimpletool.com) β€” backend features and automation modules
  • Building backend systems for an AI-driven cybersecurity product featuring an autonomous AI security analyst agent
  • Implemented API integrations, backend automation pipelines, and AI-driven workflows across client projects

Project Intern β€” SUNIX AI, Bengaluru (Remote) (Aug 2024 – Dec 2024)

  • Hands-on experience in data labeling, annotation, and preprocessing for ML model training on large datasets

Junior Software Developer Intern β€” Mukesoft, Mumbai (Remote) (Nov 2023 – Jul 2024)

  • Built web applications with PHP, JavaScript, CodeIgniter, Laravel, and MySQL
  • Designed and managed WordPress sites end-to-end, from front-end theming to back-end functionality

🧩 Featured Projects

Machine Learning Fundamentals

  • πŸŽ“ Admissions Predictions β€” comparing Logistic Regression, SVM, Decision Tree, Random Forest & KNN on a synthetic admissions dataset
  • πŸ“š Book Recommendation System
  • 🏠 House Price Prediction
  • πŸ’¬ Text Sentiment Analysis
  • πŸ“§ Spam Classifier Model
  • πŸš— Speed–Distance Prediction Model
  • πŸ§‘β€πŸ€β€πŸ§‘ Gender Classification Model

Applied AI / Deployed Apps

  • πŸ“„ ATS Resume Analyzer β€” live Streamlit app that scores resumes against job descriptions
  • 🏦 AI-Based Loan Verification System β€” live Streamlit app for automated loan eligibility checks

Automation & Marketing

  • πŸ€– Reddit Marketing Automation Tool β€” matches SaaS products to relevant Reddit discussions for organic, problem-driven promotion (built for asimpletool.com)
  • πŸ“’ AI Marketing Agent β€” autonomous agent that identifies relevant online discussions and promotes products where they genuinely solve user problems
  • ✍️ Content Creation & Content Cloning Automation β€” AI-powered workflows for generating and repurposing marketing content at scale
  • βš™οΈ Business Process Automation Systems β€” workflow automation combining AI, backend services, and orchestration

Data & Backend Engineering

  • πŸ—£οΈ Chat with DB β€” natural language interface over Trino, unifying multiple structured & unstructured databases into a single conversational layer, with natural-language responses
  • πŸ› οΈ Data Engineering Pipeline β€” preprocessing/ETL pipeline that parsed, cleaned, and loaded 500GB of data into production databases
  • πŸ”Œ API Integration Projects β€” third-party API integrations powering AI and SaaS product workflows

Cybersecurity & AI Backend

  • πŸ›‘οΈ AI Security Analyst Agent β€” backend systems for an autonomous AI security analyst capable of monitoring, analyzing, and responding to security events (ongoing, WOLFx)

SaaS Product Development

  • 🧰 SimpleTool SaaS Platform (asimpletool.com) β€” backend development, third-party integrations, and automation modules

πŸ”¬ Hands-On AI Engineering

Practical experience with:

  • Vector databases (Pinecone, Weaviate, Chroma)
  • Embeddings & semantic search optimization
  • Prompt engineering at scale
  • Model fine-tuning workflows
  • Custom AI architectures
  • ML training & deployment pipelines
  • Strong AI/ML fundamentals

πŸ“š Currently Deep Diving Into

  • Retrieval-Augmented Generation (RAG) pipelines
  • Hybrid retrieval strategies
  • Advanced embedding optimization
  • Stateful multi-agent orchestration
  • Efficient LLM system design

πŸŽ“ Education

  • B.Sc, Artificial Intelligence & Machine Learning β€” Tata Institute of Social Sciences, Mumbai (Expected Jul 2026, 8.9 CGPA)
  • M.Sc, Data Science β€” K J Somaiya, Mumbai (Expected Jul 2028)

πŸ“œ Certifications

  • 5 professional certifications completed on Coursera in AI & Machine Learning

πŸ›  Tech Stack

Languages:
Python | JavaScript | R

AI/ML:
PyTorch | TensorFlow | Keras | Scikit-Learn | Pandas | NumPy

LLM & Agents:
LangChain | LangGraph

Automation & Backend:
Node.js | REST APIs | n8n | Workflow Orchestration

Cloud:
Oracle Cloud Infrastructure (AI Certified)

Tools:
Linux | Git | Jupyter | VS Code


πŸ“ˆ Philosophy

Build systems.
Design for scale.
Automate intelligently.
Keep learning.


πŸ“« Connect With Me

LinkedIn: Ayush S. Pangaonkar

Email: ayushspangaonkar0710@gmail.com


Turning AI from concept β†’ system β†’ product.

Pinned Loading

  1. face-detection- face-detection- Public

    This is a project of python where the faces of humans are detected

    Python

  2. Diabeties-prediction-all-models- Diabeties-prediction-all-models- Public

    Diabetes prediction using machine learning involves developing models to forecast diabetes onset based on patient data like age, BMI, blood pressure, and glucose levels. Techniques include logistic…

    Python

  3. Movie-Recommendation-system---python-and-juypter- Movie-Recommendation-system---python-and-juypter- Public

    This project uses machine learning to create a personalized movie recommendation system. By combining collaborative filtering and content-based filtering, it analyzes user preferences and movie att…

    Jupyter Notebook

  4. Iris---classification- Iris---classification- Public

    Iris project classification - Machine Learning

    Jupyter Notebook

  5. Titanic---Prediction-classification- Titanic---Prediction-classification- Public

    In our Titanic dataset project, we predicted passenger survival using machine learning. We cleaned the data, handled missing values, and engineered features like FamilySize. After exploratory analy…

    Python