Hi, my name is

Arnold Baskar.

I design and develop AI models and low-latency systems.

Currently pursuing a Double Degree (MSc in Artificial Intelligence at UQAC & Engineering Degree at Télécom Saint-Étienne). I specialize at the intersection of quantitative research, applied mathematics, and software engineering for finance.

Get In Touch Download Resume (EN)

Core Expertise

Quantitative Research & AI

PyTorch / TensorFlow Machine Learning Reinforcement Learning NLP (Sentence-BERT) Stochastic Calculus Black-Scholes

High-Performance Engineering

C/C++ Python Kotlin / Java Low Latency Memory Optimization

Infrastructure & Tools

SQL Docker Git / CI-CD Linux Next.js / Tailwind

Research & Engineering Projects

Low Latency Deep Learning Inference Engine

Designed and developed a C++ inference engine from scratch to replace classical stochastic methods with a pre-trained Deep Neural Network for derivatives pricing.

C++ PyTorch Quantitative Finance
  • Simulated a parametric synthetic dataset using the Black-Scholes model and trained a deep MLP.
  • Extracted weight tensors and implemented the forward pass purely in C++ with optimized memory management.

Automated Trading Agent (Reinforcement Learning)

Evaluation of a Deep Q-Network (DQN) agent and a supervised model for trading optimization.

Python Reinforcement Learning Financial Data
  • Developed a reward-based environment simulating financial markets.
  • Performed rigorous backtesting on real stock time series (AAPL) using Yahoo Finance data.

Multimodal Algorithmic Trading System

Development of a Python algorithm combining technical analysis and fundamental analysis through NLP.

Python NLP (Sentence-BERT) Neural Networks
  • Integrated neural networks to perform sentiment analysis on live news feeds and Twitter streams.
  • Correlated NLP outputs with technical market indicators to generate trading signals.

LLM & Generative AI for Cyberattack Detection

Applied research project utilizing Generative AI (LLMs) for real-time cyberattack detection in server logs.

Python LLMs Cybersecurity

Professional Experience

May 2025 - Present

Full-Stack & Mobile Developer

Inspire Junior Entreprise (Saint-Étienne, France)

Completed two successive mandates: developed a native mobile application (Kotlin) and a comprehensive web platform (Next.js / Tailwind).

Mar 2025 - Jun 2025

Project Manager (Applied AI & Cybersecurity)

ReachFive / Télécom Saint-Étienne

Led a research initiative focusing on the use of generative AI and LLMs for real-time detection of complex cyberattacks.

May 2024 - Jun 2024

Process & Tools Intern (Supply Chain)

RCS France SAS - Thales / Hitachi Rail (Plessis-Pâté, France)

Conducted a comprehensive feasibility study on deploying Artificial Intelligence solutions within the Supply Chain and Purchasing department.

Academic Background

2025 - 2026

MSc in Artificial Intelligence (Double Degree)

Université du Québec à Chicoutimi (UQAC)

Advanced Master's program focusing on Deep Learning, Machine Learning, and data-driven systems.

2023 - 2026

Master of Engineering - Computer Science & Networks

Télécom Saint-Étienne (Institut Mines-Télécom)

Rigorous engineering curriculum covering low-level programming, network architecture, and software engineering.

2021 - 2023

Classes Préparatoires (MPSI / PSI)

Lycées Fénelon & Claude Bernard (Paris)

Intensive 2-year undergraduate program in advanced mathematics (Analysis, Linear Algebra, Probabilities) and physics.

2019 - 2021

Baccalauréat Scientifique

Lycée Henri-IV (Paris)

Admitted on academic excellence. Graduated with Honors (Mention Bien). Specialties in Mathematics and Physics-Chemistry.

Get In Touch

I am actively seeking a 6-month Quantitative Research or Machine Learning Engineering Internship starting in September 2026. Feel free to reach out !

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