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SiD-array/README.md

About Me

class SiddharthBhople:
    def __init__(self):
        self.role = "Software Engineer | AI/ML Engineer"
        self.education = "M.S. Computer Science @ RIT (2024-2026)"
        self.location = "Rochester, NY"
        
        self.skills = {
            "languages": ["Python", "Java", "JavaScript", "TypeScript", "SQL", "C#", "F#"],
            "frontend": ["React", "Vite", "Tailwind CSS", "Recharts"],
            "backend": ["FastAPI", "Node.js", "REST APIs"],
            "ml_data": ["scikit-learn", "TensorFlow", "XGBoost", "LangGraph", "Pandas", "NumPy"],
            "databases": ["PostgreSQL", "MongoDB", "MySQL", "Firebase"],
            "tools": ["Docker", "Git", "GitHub Actions", "VS Code"]
        }
        
    def current_focus(self):
        return [
            "🤖 Agentic AI & Multi-Agent Systems",
            "☁️ Cloud Governance & FinOps",
            "📊 Production ML Pipelines",
            "🔧 Full-Stack Development"
        ]
    
    def fun_fact(self):
        return "I build systems where data meets software—not just notebooks!"

Currently Working On



🤖 Autonomous Cloud Governance

Building a proactive multi-agent orchestration system with real-time fiscal governance for autonomous AI workflows.

🎯 Key Features:

  • 🔌 Agentic Circuit Breakers — Automatic cost-aware intervention
  • 🔄 Dynamic Model Routing — Smart LLM selection based on task complexity
  • 💰 Real-Time Budget Tracking — Prevent cloud bill shock
  • 🏗️ MCP Server Integration — Extensible tool ecosystem

Tech: Python LangGraph MCP Server FinOps AI Governance

Featured Projects

🤖 Autonomous Cloud Governance

Agentic AI • Multi-Agent Systems • FinOps

Proactive multi-agent orchestration with real-time fiscal governance. Features Agentic Circuit Breakers and dynamic model routing to prevent cloud bill shock.

Repo

Python LangGraph MCP Server AI Governance

🧬 RNA-Seq Cancer Biomarker Discovery

Machine Learning • Bioinformatics • Explainability

ML pipeline analyzing TCGA RNA-Seq data for 5 cancer subtypes. Achieves 100% F1-score, identifies 50 HGNC-verified biomarkers.

Dashboard Repo

Python scikit-learn Genomics TCGA

📈 StockView

Full Stack • ML Predictions • Data Viz

Real-time stock analysis dashboard with ML predictions, anomaly detection, technical indicators & sentiment analysis.

Demo Repo

React FastAPI XGBoost Recharts

🎬 CineMatch — Movie Recommender

NLP • TF-IDF • Content-Based Filtering

Netflix-inspired movie recommendation system with TF-IDF + Cosine Similarity. Features 4,800+ movies with bigram support for better accuracy.

Demo Repo

Python TF-IDF scikit-learn Streamlit TMDB API

📊 Reddit Big Data Analysis

Big Data • Data Engineering • Mining

Analysis of ~50M Reddit comments. 3-phase pipeline: PostgreSQL (relational), MongoDB (document), and Apriori association rule mining.

Demo Repo

Python PostgreSQL MongoDB Data Mining

🌐 Portfolio Website

Modern Frontend • Responsive Design

Personal portfolio website showcasing projects, skills, and experience with modern frontend technologies.

Portfolio Repo

JavaScript React Tailwind CSS

🧩 View More Projects
Project Description Tech
F-Applications Functional Data Science with F# — analysis, cleaning & visualization F# Deedle Plotly.NET
Sudoku Solver Algorithmic puzzle solver with clean OOP design C# .NET
PG Life Full-stack housing platform with optimized SQL PHP MySQL
Weather App Real-time weather application JavaScript API

Tech Stack

Languages

Python JavaScript TypeScript Java C# F# SQL

Frontend

React Vite Tailwind CSS HTML5 CSS3

Backend & APIs

FastAPI Node.js

ML & Data Science

scikit-learn TensorFlow Pandas NumPy XGBoost LangGraph

Databases

PostgreSQL MongoDB MySQL Firebase

Tools & DevOps

Git Docker GitHub Actions VS Code


GitHub Analytics




💬 Let's Connect!

I'm always open to interesting conversations and collaboration opportunities.




⭐ Star a repo if you find my work interesting!

Pinned Loading

  1. rna-seq-cancer-biomarker-discovery rna-seq-cancer-biomarker-discovery Public

    Machine learning pipeline analyzing TCGA RNA-Seq data for 5 cancer subtypes (BRCA, COAD, KIRC, LUAD, PRAD). Achieves 100% F1-score, identifies 50 HGNC-verified biomarkers, and validates findings vi…

    Python 1

  2. StockView StockView Public

    📈 Real-time stock analysis dashboard with ML predictions, anomaly detection, technical indicators & sentiment analysis. Built with React + FastAPI.

    JavaScript 1

  3. Reddit-Comments-May-2015-Data-Analysis Reddit-Comments-May-2015-Data-Analysis Public

    Forked from hrithik9120/CSCI620_Term_Project_7

    Big Data analysis of the Reddit Comments May 2015 dataset (~50M comments). Features a 3-phase approach: relational modeling (PostgreSQL), document-oriented design (MongoDB), and data mining with Ap…

    Python 1

  4. portfolio portfolio Public

    Personal portfolio website showcasing projects, skills, and experience, built with modern frontend technologies and responsive design.

    JavaScript 1

  5. movie-recommender movie-recommender Public

    🎬 CineMatch — Content-based movie recommender using TF-IDF & cosine similarity. Netflix-inspired UI with 4,800+ movies. Try the live demo!

    Python 1

  6. F-applications F-applications Public

    Demonstrating F# applications in Data Science — functional data analysis, cleaning, and visualization using Deedle & Plotly.NET. Explore how F#'s type safety, pipelines, and pattern matching create…

    HTML 1