hello, i'm dogukan. i really love neon genesis evangelion & i research foundation models, on large-scale biological foundation models, high-performance biological simulators & sharding infrastructure for ai/bio supercomputing.

my research focuses next-gen biomolecular simulation frameworks & distributed ai architectures for computational biology. after extensive exploration across different domains, i've concentrated my efforts on the convergence of synthetic biology automation & heterogeneous computing platforms for massive-scale biological simulations.

currently, i'm developing a proprietary biotechnology platform leveraging level 3 system thinking & molecular dynamics simulations, while simultaneously architecting ai-driven solutions for energy industry in my other hat.


My logs

DB

Deep-dive technical writings

Untitled

Open-source projects

Untitled

Experimentations

Structured Outputs Effectively with GPT-4o Function Calling on Financial Calculations

Training RL Agent with Policy Gradients with Parameter-based Exploration for Custom Objective

Writing AI Agent with Rust from Scratch, Deploying to Edge with WebAssembly — OS Week 1

Enhancing Performance with C/C++ Code Execution for Langchain Agents

OpenAI’s Code Execution Runtime & Replicating Sandboxing Infrastructure

Utilizing Airflow for Planning, Scheduling, Executing and Scaling AI Agentic Workloads

Linen Modules for Simple Long Convolutions Sequence Modeling with Log-Linear Time Complexity

Releasing Tri-RMSNorm: Yielding Speed-up for Training Stabilization + [Let’s Review] Root Mean…

[Let’s Review] Gradient Ascent + Jax Implementation