Software Engineer — Dhaka
Sajidur Rahman Sajid
I build high-throughput backend systems and production ML pipelines — engineered to be fast, reliable, and worth trusting.
CGPA / 4.00
tests written
thesis dataset
Dean's Award
Terminal: pip install trust · 218 tests passed — 0 failed · Redis Streams -> seal -> verify · pipeline status: ACTIVE · ready for your hardest problems
[ 02 ] — Selected Work
Systems that earn trust.
The flagship trio — an audited fintech pipeline, a deployed full-stack platform, and an AI legal-intelligence MVP.
[ 03 ] — Currently
At LedgerCross, I build systems meant to be audited.
Day-to-day, that means dependable async pipelines, privacy-preserving ledgers, and security posture you can point at an auditor.
InvoicePilot
Shipping an 11-stage AI invoice pipeline with Redis Streams async workers and a Solidity seal registry.
CaseVault GraphRAG
Designing the Phase-2 graph engine — Qdrant vector search plus a Neo4j knowledge graph with community detection.
SOC 2 readiness
Building the security policy suite, trust center, and row-level-security migrations ahead of audit.
[ 04 ] — Research
Featured thesis
A hybrid ensemble trained on 2,237 student surveys detects cognitive impairment better than any single model.
[ 05 ] — Experience
A path engineered, not walked.
From a 5.00 SSC to a shipped fintech pipeline — every step was deliberate.
May 2026 — Present
LedgerCross
Software Developer Trainee — InvoicePilot, Redis Streams, Solidity seals
NOWFeb — Apr 2026
BSS Internship
Software Engineer Intern — shipped 18 responsive projects + 6 assigned tasks
2022 — 2026
5× Dean's Award
AIUB Merit Scholar (70% waiver) across the CSE program
Sep 2022 — Apr 2026
AIUB · BSc CSE
CGPA 3.92 / 4.00 — thesis: NeuroScreen hybrid ensemble (0.982 AUC)
[ 06 ] — Capabilities
Tools I reach for under pressure.
A backend-and-AI core, with the frontend and Web3 skills to ship end-to-end when it counts.
Backend
AI / ML
Frontend
Data & Databases
Web3
Tooling & Practice
[ 07 ] — Let's talk
Let's build something trustworthy.
Backend pipelines, ML products, or an audit-ready system — I'm currently open to engineering work and collaborations.
