RAHUL ANANTMathematics & Computing
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Software Engineering • AI/ML • Quant

Technical & Engineering CV

Updated September 2025 • Revision v2.4 (2025)

Key Competency Highlights

AI / ML & LLM Fine-Tuning (PyTorch, LoRA, OpenCV)
Quantitative Finance & High-Frequency Limit Order Books (C++, Python)
Full-Stack Web Development (Next.js, TypeScript, Node.js)
Research Collaboration with IIT Tirupati

Core Technical Domains

High-Performance Computing

Modern C++, cache-conscious order books, sub-microsecond matching engines, memory arenas, lock-free ring buffers.

AI & Machine Learning

PyTorch, LoRA fine-tuning, computer vision for ancient Indic palm leaves (IIT Tirupati), pose estimation for rehabilitation.

Quantitative Finance

Monte Carlo option pricing, variance reduction (antithetic variates), stochastic processes, Black-Scholes and Heston models.