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Rafeed Mohammad Sultan

Rafeed
Mohammad
Sultan

AI Researcher & Software Chef

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"Serving fresh code and spicy algorithms since 2020."

GitHub Contributions 247 commits
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01

Research Specials

International Conference on Pattern Recognition (ICPR 2024) – addressing ethical concerns in LLMs using the DFAR dataset.

NLP, Ethics, LLMs, DFAR

Leveraging Large Language Models for Scientific Synthesis. (IEEE International Conference on Big Data 2024)

RAG, Scientific Synthesis, LLMs

Lightweight Model Souping and Ensembling Knowledge Distillation for Memory-Constrained Devices. (Q1 Journal: Intelligence-Based Medicine)

Medical AI, Computer Vision, Knowledge Distillation

A Hybrid RAG System for Multilingual Legal Information Retrieval. (IJCNN 2025: International Joint Conference on Neural Networks)

NLP, Legal Tech, RAG, Multilingual

Explainable AI analysis of farm features and practices impacting White Spot Disease prevalence in farmed shrimps in Bangladesh. Achieved 72.67% accuracy with SHAP-based interpretability.

Machine Learning, SHAP, Explainable AI
02

Code Platters

Safety app alerting guardians with user location at button press. Periodic location alerts to specified contacts.

Kotlin, Firebase, SQLite
Roomafy (Web App) Django/React

Collaborative music-playing app integrated with Spotify API. (Ongoing)

Django, React, HTML+CSS, Bootstrap, Spotify API
Phonebook Java

Mini project for storing and managing contacts with a GUI interface.

Java Swing, SQLite

Online platform for storing PDF books and managing library resources.

HTML+CSS, MySQL, PHP, Bootstrap

Automated website testing for GigaTech, generating test cases and ensuring efficient testing.

Python, Selenium

Judging AI ethics and alignment responses with language models using the DFAR dataset.

Python, LLMs, Ethics, DFAR

Investigating the impact of different optimizers and batch sizes on CNN performance with VGG blocks.

Python, Deep Learning, CNN, VGG

Determining runtime efficiency, memory consumption, and CPU utilization across different programming languages.

Python, Java, C, C++, Algorithms

Predictive modeling of White Spot Disease prevalence in shrimp farms with SHAP-based explainability of farm practices and features.

Python, Machine Learning, SHAP, Explainable AI
03

Chef's Journey

SELISE Digital Platforms - Associate Software Engineer Jan 2025 - Present

Building real-time WebSocket chat streams, voice agents with ElevenLabs TTS, MCP servers, React–Flask pipelines, and energy market PnL modules (DAM/RTM). Implemented GitHub webhook integration and prompt engineering with guardrails.

React, Flask, NestJS, MongoDB, Azure PostgreSQL, WebSocket, ElevenLabs, MCP
SELISE Digital Platforms - Intern Software Developer Oct 2024 - Jan 2025

Worked with the Global Finance & Head department, automating financial transactions, procurement processes, and business development workflows.

Finance Automation, Procurement Systems
GameRiv - Part-time Content Writer Sep 2023 - Nov 2023

Authored technical articles and game reviews. Acquired SEO principles and WordPress proficiency while managing multiple projects simultaneously.

SEO, WordPress, Content Writing
Signature Minds Institute - Graphics Designer Jan 2020 - Jun 2020

Collaborated with clients, delivering visually appealing designs within deadlines using Canva.

Canva, Graphic Design
Study Town - Teaching Assistant Nov 2019 - Jun 2020

Assisted in evaluating A-level Biology and Chemistry papers, reviewed copies, and tutored students.

Teaching, Biology, Chemistry
North South University - BSc in Computer Science Engineering 2020 - 2024

CGPA: 3.38/4.00. Focused on Web Development, Machine Learning, and Software Quality Assurance.

CS Engineering, ML, Web Dev, SQA
Edexcel A Levels 2019

Mathematics, Physics, Chemistry.

Edexcel O Levels - Daily Star Award Winner 2017

Science & Mathematics stream. Daily Star Award for outstanding O Levels results.

04

Reserve a Table

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