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SiD-array/README.md
Typing SVG
   



LinkedIn Portfolio GitHub Email

👋 About Me

I'm a Master's student in Computer Science at Rochester Institute of Technology (Aug 2024 – May 2027). I build intelligent, scalable, and production-ready systems at the intersection of AI, Cloud, and Software Engineering.

I'm currently a DAAD RISE Professional Scholar and AI Engineering Intern (Pre-Development) at BSH Hausgeräte GmbH (Bosch Group) in Berlin, working on embedded AI, sensor analytics, and intelligent features for laundry appliances — including model validation on large lab datasets, fabric-type classification, and Remaining Useful Life (RUL) modeling.


🎯 Current Focus

  • Embedded AI for smart appliances
  • Sensor pipelines, PCA & RUL modeling
  • Cloud-native multi-agent systems
  • Production ML & LLMOps
 
class SiddharthBhople:
    role      = "AI Engineering Intern"
    education = "M.S. CS @ RIT (2024–2027)"
    scholar   = "DAAD RISE @ BSH, Berlin"
    focus     = ["Embedded AI", "RUL", "Cloud"]

🛠️ Core Expertise

🤖 AI & Systems

☁️ Cloud & Software

🚀 Featured Projects

   



🤖 Autonomous Cloud Governance

Cloud-native multi-agent platform with cost-aware orchestration and fiscal AI governance — circuit breakers, cognitive-tiered routing, and sub-millisecond policy enforcement across autonomous LLM workflows.

Python Multi-Agent AWS React LLMOps


Live Demo Repo

📈 StockView

Real-time ML-powered stock analytics — FastAPI + Firebase pipelines, 5+ technical indicators, and backtested forecasting (Random Forest, XGBoost, LightGBM).

React FastAPI XGBoost 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

Interpretable ML pipeline for 5 TCGA cancer subtypes — 100% 5-fold CV accuracy, a 50-gene biomarker panel, and g:Profiler pathway validation.

Python scikit-learn Pandas NumPy gProfiler


Live Demo Repo

📡 SensorLens

Domain-agnostic sensor diagnostics for appliance engineering — ingest Excel test runs, align mismatched channels, and compare waveforms with Pearson correlation and Dynamic Time Warping.

TypeScript React FastAPI SciPy DTW


Repo

🧮 F# Applications in Data Science

Functional data science in F#/.NET — immutable pipelines, feature engineering, and interactive Plotly.NET visualizations for real analytical workflows.

F# .NET Deedle Plotly.NET


Live Demo Repo

📂 View More Projects
Project Description
Portfolio Personal site — Live
Reddit Big Data Analytics ~50M-comment pipeline (PostgreSQL, MongoDB, Apriori) — Live
CineMatch Content-based recommender, 4,800+ movies — Live
Sudoku Solver C#/.NET solver with clean OOP architecture

📊 GitHub Analytics



💬 Let's Connect

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




⭐ Star a repo if you find my work interesting!


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  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