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SiD-array/README.md

👋 About Me

I'm a Master's student in Computer Science at Rochester Institute of Technology (RIT), specializing in Machine Learning & Artificial Intelligence. I build intelligent, scalable, and production-ready systems at the intersection of AI, Cloud, and Software Engineering.

Selected as a DAAD RISE Professional Scholar, I'm joining BSH Hausgeräte GmbH (Bosch Group) in Berlin, Germany — working on AI applications in embedded systems, data analytics, and intelligent features for consumer smart appliances.


🎯 Current Focus

  • Embedded AI & on-device intelligence
  • Cloud-native scalable architecture
  • Production ML pipelines & LLMOps
  • Multi-agent systems & intelligent automation
 
class SiddharthBhople:
    role     = "Software & ML Engineer"
    education = "M.S. CS @ RIT"
    scholar  = "DAAD RISE @ BSH, Berlin"
    focus    = ["AI Systems", "Embedded ML", "Cloud"]

🛠️ Core Expertise

🤖 AI & Systems

☁️ Cloud & Software

🚀 Featured Projects

 



🤖 Autonomous Cloud Governance

Multi-agent cloud system with cost-aware orchestration and AI governance — circuit breakers, complexity-aware routing, and fiscal controls for autonomous workflows.

Python Multi-Agent AWS FinOps React


Live Demo Repo

📈 StockView

Real-time ML-powered stock analytics — forecasting, anomaly detection, technical indicators, and sentiment analysis in a production-grade dashboard.

React FastAPI XGBoost TensorFlow Firebase


Live Demo Repo

🤟 SignLens — Real-Time ASL Recognition

Real-time American Sign Language recognition using sliding-window inference and multi-hand landmarking — built for accessibility and live assistive interfaces.

Python OpenCV MediaPipe LSTM


Repo

🧬 RNA-Seq Cancer Biomarker Discovery

ML pipeline analyzing TCGA RNA-Seq data for 5 cancer subtypes — 100% F1-score, 50 HGNC-verified biomarkers, and pathway validation via gProfiler.

Python scikit-learn Genomics TCGA


Live Demo Repo

📂 View More Projects
Project Description
Portfolio Modern portfolio — Live
F# Applications in Data Science Functional data science with F# & .NET
Reddit Big Data Analytics ~50M comment analysis pipeline
CineMatch Content-based movie recommender

📊 GitHub Analytics




💬 Let's Connect

Open to collaboration, research discussions, and interesting engineering challenges.




⭐ 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.

    Python 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