Behind the screen.

Software, backend systems, and quiet machinery.

I'm a software engineer and recent Computer Science & Engineering graduate from United International University (UIU), Dhaka (Class of November 2026). I specialize in backend systems, high-concurrency network architectures in Go, local-first AI and RAG pipelines, and deterministic program analysis.

I care deeply about software reliability, sandboxed execution environments, and zero-false-positive security tooling. Having served as an Undergraduate Teaching Assistant (UTA) at UIU, I spend my time engineering resilient distributed systems, solving algorithmic challenges on Codeforces, and exploring systems-level software.

Now Listening
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Selected work

AstraVul Neuro-Symbolic Vulnerability Engine

Local-first vulnerability triage engine combining deterministic Tree-sitter AST/DFG slicing with ChromaDB RAG (969 NIST CWEs) and local 4-bit LLMs to eliminate SAST false positives (FDR = 0.0%) with line-level diagnostics, patch diffs, and zero cloud data leakage.

Python · C++ · Tree-sitter AST · ChromaDB · Local LLMs
FlowGate High-Concurrency Reverse Proxy · Gateway

Self-tuning, resilient reverse proxy and API gateway written in Go featuring adaptive rate-limiting, circuit breaking, zero-allocation routing, and sub-millisecond dispatching under high concurrent load.

Go (Golang) · Reverse Proxy · Systems · Concurrency
BrainJam Arena Competitive Platform · Code Sandbox

Full-scale competitive programming platform featuring isolated Docker container execution sandboxes, multi-language code evaluation via Judge0 API, real-time contest operations, and military-style leaderboard progression.

Node.js · Docker · Judge0 API · MySQL · JavaScript
ARGusAI Genomics RAG Pipeline · Capstone

Final Year Design Project (FYDP) genomics pipeline combining DIAMOND/BLAST sequence alignment, retrieval-augmented generation over the CARD database, and LLM reasoning with a weighted confidence-fusion model and FastAPI microservice.

Python · FastAPI · ChromaDB · DIAMOND/BLAST · Gemini
ICU Sepsis Early Warning System Time-Series Clinical Decision Engine

Predictive clinical decision model trained on 40,000+ ICU patients (PhysioNet 2019). Engineered rolling 6-hour time-series vitals features and trained a weighted XGBoost classifier (0.795 AUROC) with 29.5-hour early-warning lead time and SHAP explainability.

Python · XGBoost · Time-Series · SHAP · PhysioNet
UIUonePoint Enterprise Desktop Suite · Operations

Integrated desktop management suite for university canteen, student grocery store, and peer-to-peer campus marketplace with role-based customer, seller, and administrator portals.

Java 17 · JavaFX · MySQL · JDBC · Maven
All 24+ repositories & open-source work

Experience & Education

United International University BSc in Computer Science and Engineering (Graduated Nov 2026)
2022 — 2026
United International University Undergraduate Teaching Assistant (UTA) · Dept. of Computer Science & Engineering
1 year
Cantonment College, Cumilla Higher Secondary Certificate (HSC) · Science (GPA 5.00 / 5.00)
2019 — 2021
Download full resume (PDF)

Technical stack

Languages Go, Java, Python, C++, TypeScript, JavaScript, C, SQL, PHP
Backend & Systems Go (Golang), Node.js, FastAPI, Express, JavaFX, RESTful APIs, Microservices, Reverse Proxies
AI / ML & Applied Research RAG Pipelines, Local LLMs, Tree-sitter AST/DFG, ChromaDB, XGBoost, SHAP, Time-Series Modeling
Databases & DevOps MySQL, PostgreSQL, ChromaDB (Vector Store), SQLite, Docker, Linux, Git, GitHub, Maven, Postman

Contact

Have an internship opportunity, a project idea, or want to discuss engineering? Write to iamnoman.swe@gmail.com.

Abdullah Al Noman
heyitsnoman • Connect
Dhaka, Bangladesh

heyitsnoman Software engineer and recent Computer Science & Engineering graduate from United International University (UIU), Dhaka (Class of Nov 2026) 🎓

Focused on high-concurrency systems in Go, sandboxed execution engines with Docker & Judge0, and local-first neuro-symbolic AI tooling. Former Undergraduate Teaching Assistant (UTA) at UIU.

"Behind the screen: quiet machinery, data consistency, and reliable backends."

#softwareengineering #golang #systems #uiu #codeforces #dhaka
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iamnoman.swe@gmail.com