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Mohammed Efaz
01

Primary Parameters

Mohammed
Efaz

I design and build clean, practical software with strong engineering fundamentals.

NetworkLinkedIn
SourceGitHub
LocationDhaka, Bangladesh
Sys.Status● Active
Structural
Integrity &
Mass

Full-stack engineer with internship experience at Genesys and a research focus on private, on-device AI systems.

> EXECUTING QUERY: profile_stats
Degree: B.Sc. Computer Science
Institution: Eötvös Loránd University
Period: 2022 — 2025
Status: Open to software engineering opportunities.
_

Internships

2

Genesys engineering and QA automation

Defects Resolved

20+

Across customer journey and UI workflows

Automated Scenarios

22+

Playwright and Cypress reliability coverage

Research

Privacy AI

Offline, progress-aware reading assistant

02 — Visual Archive / Professional

Logs Indexed: 03
Sep 2024 — Jan 2025

Genesys

Software Engineer Intern
  • Reached full code coverage in a key journey-management area.
  • Shipped 5+ algorithmic improvements and simplified business logic paths.
  • Resolved 20+ defects and delivered 10+ Cypress tests across Angular and Vue modules.
TypeScriptAngularVueCypress
Mar 2024 — Oct 2024

Genesys

QA Automation Engineer Intern
  • Automated 22+ high-value end-to-end scenarios in Playwright and Cypress.
  • Strengthened CI pipelines with test-driven validation for auth, events, and rendering flows.
  • Supported daily FedRAMP-aligned checks in a security-sensitive environment.
PlaywrightCypressTDDCI/CD
Sep 2024 — Jul 2025

Eotvos Lorand University

Teaching Assistant
  • Mentored 20+ students in coding fundamentals and debugging habits.
  • Ran lab sessions focused on clarity, consistency, and strong software basics.
PythonJavaTeaching
03 // Academic Research
ICCCI 2026 / Under Review

MeReader: Offline, Privacy-Preserving, Progress-Aware AI Reading Assistant

Authors: Mohammed Efaz, Itilekha Podder, Udo BubTrack: LLMVLM 2026 — Special Session on LLM and VLM in Collective Intelligence

MeReader is an offline, privacy-preserving reading assistant that combines local LLMs with progress-aware retrieval to prevent future-content leakage while keeping response quality practical on consumer hardware.

Progress-aware retrievalRAGOn-device LLME-book readerPrivacy
04
04 // Open Systems / Repositories

MeReader

Offline AI reading assistant with spoiler-safe context boundaries.

Built a private reading system that limits retrieval and generation to the reader's current progress while combining hybrid retrieval techniques for context accuracy.

Readest

Source
Cross-platform e-book reader with modern typography and cloud sync.

A modern e-book reader built with Tauri and React that prioritizes typographic quality, responsive layout, and seamless sync across devices.

MeTLDR

AI-powered summarization tool for long-form content.

An intelligent summarization system that extracts key insights from long-form content using fine-tuned language models with extractive and abstractive techniques.

05 — Additional Projects

Case Studies
06

Spatial Studies /
Tech Stack

Languages
TypeScriptPythonJavaKotlinSQLC#
Frontend
ReactNext.jsVueAngularTailwind
Backend + DevOps
FastAPISpring BootDockerAWSCI/CD
AI + Data
PyTorchTensorFlowscikit-learnLangChainQdrant
07

Contact / Connect

Open to software engineering opportunities.

Computer Science graduate from Eotvos Lorand University (ELTE), 2025.

GitHub ProfileLinkedInefaz@mohammedefaz.com
08

Education

B.Sc. Computer Science

Eötvös Loránd University

2022 — 2025

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