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mradityaraj22/README.md

👋 Hi, I'm Aditya Raj

Pen name: Brooklyn

BSc Artificial Intelligence & Computer Science • University of Edinburgh
National IOQM Qualifier • Bihar State Rank 1 (99.0%) • Quantitative & ML Systems Engineer • Published Author


Typing SVG

LinkedIn Edinburgh Mail Gmail Portfolio


⚡ Executive Snapshot

Institution: University of Edinburgh (School of Informatics)
Degree: BSc Artificial Intelligence and Computer Science (2026–2030)
Olympiad Standing: Indian Olympiad Qualifier in Mathematics (IOQM) • RMO
State Merit: State Rank 1 (Bihar, CBSE XII Science) — 99.0% Aggregate
Perfect Scores: 100/100 in Mathematics, English & Fine Arts
National Merit: AIR 174 (FIITJEE FTRE) • ₹80,000 Cash Merit Award • PW AIR Batch
Production Deployments: 110–285 KLPD Bio-Refinery Telemetry • Computer Vision QA • Luxury Retail Analytics
Literary Works: Published Author of 3 Titles (Novella, Technical Craft & Anthology)

🏆 Distinctions & Academic Pedigree

Metric / Honor Institution & Context Focus / Distinctions
99.0% CBSE Class XII Science Topper • Ranked 1st in State of Bihar Perfect 100/100 in Mathematics, English & Fine Arts
IOQM Indian Olympiad Qualifier in Mathematics • Top student in Bihar & India Higher Combinatorics, Diophantine Equations, Extremal Geometry
AIR 174 FIITJEE Talent Reward Exam (FTRE) • 4-Year Advanced Track National Rank 174, Full Scholarship & ₹80,000 Cash Merit Award
Full Scholarship PhysicsWallah (PW) All India Rank (AIR) Batch Premier national cohort awarded on the basis of IOQM qualification

🔬 Featured Engineering & Applied Research

1. 💹 Stochastic Market Microstructure Engine

High-frequency vectorized quantitative simulation of limit order book dynamics.

  • Markovian Regime Switching: Vectorized 3×3 state transition probability matrices $P$ with Chapman–Kolmogorov multi-step forecasting.
  • Inhomogeneous Poisson Flow: Dynamically modulated arrival intensities $\lambda(t)$ capturing queue depletion, spread widening, and adverse selection risk.
  • Stack: Python • NumPy • Streamlit • Markov Chains • Poisson Processes

2. 🏭 110–285 KLPD Industrial Bio-Refinery Telemetry Pipeline

Muzaffarpur Bio Fuels Pvt. Ltd. — AI & Industrial Data

  • Processed, engineered, and evaluated high-frequency operational telemetry across continuous milling, liquefaction, fermentation, and distillation stages.
  • Extracted latent sensor patterns and thermal/pressure variances to optimize production throughput and senior management telemetry.

3. 👁️ Edge Computer Vision Automated Quality Inspection

Dev India Projects Pvt. Ltd. — AI & Deep Learning

  • Researched and evaluated deep learning architectures for real-time automated quality inspection on continuous milk processing lines with low false-positive anomaly thresholds.

📚 Published Literary Works

Title Genre & Year Publisher Author Attribution
Lumora: Some Bonds Were Written in Light and Memory Novella / Philosophy (2026) Pothi Author: Aditya Raj (Brooklyn)
The Resilient Coder: Foundations of Computational Grit Technical Craft (2025) Pothi.com Author: Aditya Raj (Brooklyn)
The Shattered Violets: Volume 3 Collected Anthology (2025) Thoughts Hymn Author: Aditya Raj (Brooklyn)

🛠️ Technical Competencies

Languages & Systems

Languages

Quantitative Modeling, AI & Data Science

AI & Modeling

Web & Interface Telemetry

Web

🔍 Click to view full skills breakdown
  • Quantitative Modeling: Stochastic Calculus, Discrete-Time Markov Chains, Inhomogeneous Poisson Processes, Chapman–Kolmogorov Equations, Time-Series Stationarity, Risk Telemetry.
  • Machine Learning & Deep Learning: Computer Vision Quality Control, High-Throughput Edge Inference, Sensor Telemetry Regression, Deep Learning, Natural Language Processing.
  • Software Engineering: Vectorized Scientific Computing (NumPy), Algorithmic Problem Solving (Graph Theory, Dynamic Programming), Clean Architecture, Interactive Dashboards (Streamlit).
  • Domain Deployments: Continuous Bio-Refining (110–285 KLPD), Automated Food Processing Lines, Luxury Retail Inventory Velocity (Tanishq).

🗺️ Algorithmic & Research Trajectory

graph TD
    classDef math fill:#1E1B4B,stroke:#818CF8,stroke-width:2px,color:#E0E7FF;
    classDef quant fill:#042F2E,stroke:#34D399,stroke-width:2px,color:#ECFDF5;
    classDef ind fill:#164E63,stroke:#22D3EE,stroke-width:2px,color:#ECFEFF;
    classDef target fill:#4A044E,stroke:#F472B6,stroke-width:2px,color:#FDF2F8;

    A[IOQM Olympiad & Discrete Mathematics]:::math --> B[Stochastic Modeling & Markov Chains]:::quant
    A --> C[Advanced Algorithms & Complexity]:::math
    
    B --> D[Market Microstructure & Order Book Dynamics]:::quant
    C --> E[Vectorized Scientific Computing & Systems]:::quant
    
    F[Industrial Bio-Refinery & Vision Telemetry]:::ind --> G[Real-Time Production ML & Edge Inference]:::ind
    
    D --> H[Quantitative Research & Algorithmic Trading]:::target
    E --> H
    G --> I[High-Impact Applied AI Systems]:::target
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💡 "Rigorous foundations. Scalable telemetry. Relentless execution."

University of Edinburgh • School of Informatics
Edinburgh, Scotland ⇄ Bihar, India

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