Low-latency systems
Predictable, performance-sensitive software shaped by careful choices around memory, concurrency, queues, and data movement.
- C++20
- Concurrency
- Memory
- Performance
Software Engineer · Mumbai, India
Engineering systems whereperformance meets precision.
I’m Abdulrehman Ansari, a senior software engineer focused on C++, low-latency systems, electronic trading, networking, and distributed architecture.
Core expertise
Deep systems thinking,
applied to real-world scale.
My work sits at the intersection of performance, reliability, and architecture—especially where every microsecond and every failure mode matters.
Capital markets
Two decades of engineering experience across electronic trading, market access, smart order routing, market data, and financial messaging.
- Electronic trading
- FIX
- DMA
- Market data
Networked architecture
Event-driven and asynchronous systems built with a close understanding of transport, protocols, backpressure, and failure modes.
- TCP/IP
- Boost.Asio
- Coroutines
- Linux
Selected explorations
Learning by building
from first principles.
Personal projects are where I test ideas, inspect abstractions, and turn unfamiliar systems into working mental models.
AI / 01
Self-Improving Machine Intelligence
SIMI
A long-term personal AI system exploring persistent memory, semantic retrieval, tool use, and the evolution of structured knowledge about a user over time.
LLMs · RAG · Vector search · Agents
LANG / 02
Learning language implementation
BASIC Interpreter
A browser-bound, QBasic-like interpreter built from first principles to study lexing, parsing, abstract syntax trees, and runtime design.
JavaScript · Parsers · AST · VM
FIN / 03
Protocols under pressure
Trading Systems Lab
Experiments in FIX components, asynchronous networking, message parsing, codecs, and gateway architecture across C++ and Rust.
FIX · Boost.Asio · QuickFIX · Rust
EDU / 04
Structured learning in the browser
Olympiad Quiz Platform
A browser-based practice system for rich, structured questions spanning formatted text, mathematics, diagrams, images, and multiple-choice answers.
Web · Structured data · Learning tools
Architecture mindset
The abstraction is only the beginning.
I’m drawn to systems where the boundaries matter: application and kernel, message and transport, concurrency and contention. Understanding the layer below is how I make better choices at the layer above.
“What happens internally—and what changes when the system is under load?”
MESSAGE FLOW / 01
01Client↓
02Protocol decoder↓
03Internal model↓
04Routing logic↓
05Backpressure↓
06External system
Professional experience
Built in demanding environments.
More than two decades in professional software development, with deep experience in investment-banking technology and electronic markets.
Current
J.P. Morgan
Software engineering · Capital-markets technology
Engineering within a global financial technology organization.≈ 15 years
Bank of America
Equity Cash Technology
Market access, market data, smart order routing, and Direct Market Access.Since 2003
Earlier engineering career
Professional software development
A foundation spanning enterprise software, Java, and systems engineering.Current study
Always one layer deeper.
01C++20 coroutines
02Boost.Asio
03Operating systems
04Compiler architecture
05AI memory systems
06Rust
07Computer architecture
08Mathematics & physics