MATHEMATICS · SOFTWARE · AI SYSTEMS

Hi, I’m Ceiron.
I build technical systems that solve hard problems.

I’m a Mathematics student at Rutgers University working at the intersection of software engineering, high-performance computing, quantitative systems, and AI-driven scientific research.

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Open to software, quant, and ML systems opportunities New Jersey, USA

profile.py

class Developer:
    name = "Ceiron Dushyanthan"
    university = "Rutgers University"
    graduation = "May 2027"

    interests = [
        "AI systems",
        "High-performance computing",
        "Quantitative development",
        "Scientific software"
    ]

    def current_focus(self):
        return "Building reliable, high-impact tools"

ABOUT ME

Technical depth, applied to real problems.

I enjoy turning difficult ideas into working systems. My background in mathematics gives me a strong foundation in abstraction, modeling, probability, and rigorous problem solving, while my software projects have pushed me toward systems programming, distributed workflows, machine learning infrastructure, and computational science.

I am currently developing AI-PEAT, an AI- and HPC-enabled protein engineering agent that connects language-model reasoning, biological databases, protein-design tools, and Rutgers’ Amarel computing cluster into a unified workflow.

2027Expected graduation

3.74+GPA

C++ / PythonPrimary languages

AI + HPCCurrent research focus

SELECTED PROJECTS

Things I have built.

01 AI · HPC · BIOINFORMATICS

AI-PEAT

An intelligent protein-engineering platform that orchestrates structure prediction, Foldseek and BLAST searches, catalytic-residue discovery, sequence conservation analysis, ProteinMPNN redesign, and AlphaFold validation.

Request demo ↗

02 C++ · CONCURRENCY

Modern C++ Thread Pool

A reusable C++17 thread pool with futures, packaged tasks, synchronized work queues, exception propagation, graceful shutdown, and parallel workload testing.

03 SYSTEMS · DATA STRUCTURES

LRU Cache

A constant-time least-recently-used cache built with a hash map and linked list, emphasizing iterator safety, efficient eviction, and clean ownership semantics.

04 QUANTITATIVE COMPUTING

Computational Finance Models

Implementations of numerical and stochastic models including Black–Scholes PDE solvers, CIR and OU processes, copulas, fixed-income models, PCA, and matrix decompositions.

EXPERIENCE

Research and education.

2026

Undergraduate Researcher — CSI SURF

Rutgers University · Khare Lab

Building AI-PEAT, integrating LLM-driven reasoning with protein-design tools and HPC workflows on the Amarel cluster. Developed job orchestration, structure-analysis pipelines, sequence redesign workflows, and a Streamlit interface.

2023–2027

B.A. Mathematics

Rutgers University–New Brunswick

Coursework in real analysis, probability, stochastic processes, mathematical statistics, linear algebra, computational finance, systems programming, and algorithms.

TECHNICAL SKILLS

Tools I work with.

Languages

Python, C++, SQL, Bash, HTML, CSS, JavaScript

AI & Scientific Computing

LangGraph, OpenAI APIs, PyTorch, AlphaFold, ProteinMPNN, Foldseek, HHblits, Biopython

Systems & Infrastructure

Linux, Git, Slurm, SSH, HPC clusters, Apptainer, concurrency, networking fundamentals

Mathematics

Probability, statistics, linear algebra, real analysis, numerical methods, stochastic modeling

GET IN TOUCH

Let’s build something challenging.

I am interested in software engineering, quantitative development, ML systems, scientific computing, and research opportunities.

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Hi, I’m Ceiron.I build technical systems that solve hard problems.