K. M. Asifur Rahman

AI/ML Engineer | Researcher

Engineering Intelligence at the Intersection of AI, Security, and Innovation.

Contact Research Projects CV

About Me

I’m a Machine Learning Engineer and Cybersecurity enthusiast who loves building intelligent systems that are not only powerful but also secure. My journey spans GenAI, Computer Vision, and NLP, where I’ve explored mostly from fine-tuning LLMs to detecting deepfakes and strengthening 5G security. Along the way, I’ve had the chance to publish a research on 5G vulnerabilities and deploy AI models in highly restricted, bank-grade environments—where every detail mattered for both performance and security. What excites me most is bridging the worlds of AI innovation and cybersecurity resilience, turning cutting-edge ideas into real-world solutions.

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Experience

July 2024 - Present

Machine Learning Engineer

Spectrum Software and Consulting(Pvt) Limited, Karwan Bazar, Dhaka

Built an AI-powered eKYC platform for identity verification using liveness detection and face verification. The system validates user head movements against dynamic instructions, detects replay attacks from screens, and matches live facial images with National ID records. Optimized deployment on NVIDIA DGX Spark and NVIDIA A5000 GPU servers using stateless APIs and Gunicorn workers to improve memory efficiency, scalability, and inference latency.
Developed and deployed Doc-Ai systems that can extract data from both structured and unstruc tured documents and take necessary decisions or measures based on requirements. Deployed in an asynchronous scalable design for handling a large number of users.
Built a Knowledge Graph-RAG-based document agent, customized fully on local projects and documents. The agent can answer user queries from these artifacts. Reduced hallucinations by establishing relationships between documents and their context.
Researched on MCP, Large Language models, LLM Inference Engines, Lora, and Qlora finetunings. Applied fine-tuning and advanced memory management techniques in model customization and deployment.
Experienced in developing computer vision and voice-enabled smart systems that can recognize persons and summarize meetings.
Nov 2023 - Jan 2024

Intern

CIRT, Bangladesh Computer Council

Explored an open source SIEM (Wazuh) to deploy, customizing it for a few features from an AI/ML perspective. Tried to integrate some ML models for anomaly detection from network data and logs. Worked with cyber experts, had a great learning experience.
May 2023 - Jun 2023

Intern

Era InfoTech Ltd, Purana Paltan, Dhaka

Developed a transaction classifier using Natural Language Processing (NLP) tools, clustering algorithm and Python libraries. Elevated data analysis precision and improved model accuracy through effective collaboration with teams.
May 2023 - June 2024

Director of Logistics

BUET Cyber Security Club

Successfully organized and executed a Capture The Flag (CTF) competition, showcasing adept coordination, leadership, and problem-solving skills.

Research

My research sits at the intersection of artificial intelligence and cybersecurity: LLM-assisted security analysis, 5G protocol security, deepfake and eKYC attacks, and cloud-native (Kubernetes) security.

Publications

  1. 5GPT: 5G Vulnerability Detection by Combining Zero-Shot Capabilities of GPT-4 with Domain Aware Strategies Through Prompt Engineering
    IEEE Transactions on Information Forensics and Security (T-IFS) Accepted
    [IEEE Xplore]
    Abstract & contribution

    We combine GPT-4's zero-shot reasoning with a domain-aware prompting strategy that encodes telecom-specific security properties, signaling rules, and hazard indicators to find weaknesses in 5G specifications. The approach surfaced 47 potential vulnerabilities, 27 previously unreported, and 9 were confirmed on Open5GS and UERANSIM testbeds. My role: tracing candidate vulnerabilities to UE and core-network code in UERANSIM and building test scenarios (altered hash in replies, toggled ACK messages, unexpected signaling during registration).

  2. Bypassing Conventional eKYC: How Far Can We Go using Deepfake?
    12th International Conference on Next Generation Computing, Communication, Systems and Security (NSysS 2025) Best Paper Award
    [DOI]
    Abstract & contribution

    We study how deepfake-based presentation attacks can defeat conventional eKYC identity verification and liveness detection. Face-swapping pipelines (InsightFace, ONNX models, VAEs, prototype GANs) generate manipulated video, while ViT and SigLIP transformers with an LSTM temporal classifier are evaluated for detection. Results show vulnerabilities in conventional pipelines and motivate deepfake-aware presentation-attack detection.

  3. An AI-Driven Audio-to-Report Framework to Automate Damage and Loss Assessment for Disaster Management
    International Conference on Applied Statistics and Data Science (ICASDS) 2025
    Abstract

    An audio-to-report system that turns Bangla dialect speech into structured climate loss and damage reports for low-literacy, disaster-affected communities, combining speech recognition, NLP, and automated report generation. It performs well across multiple Bangladeshi dialects.

  4. Assessing the Impact of Temperature Change on Discomfort Index: Temporal Trends and Seasonal Variations in Dhaka City
    ICWFM 2025
    [ResearchGate]
    Abstract

    Analyzes trends and seasonal variation in maximum, minimum, and average temperature and the Thom Discomfort Index in Dhaka from 1981 to 2020 using statistical techniques.

  5. Exploring Post-Mortem Neural Signal Processing: Uncovering Computational Potentials in Deceased Animal Brains
    NSysS 2021, Student Poster Poster Champion
    Abstract

    Investigates whether a deceased animal brain can process signals: its responses to electrical stimuli, its ability to act as a memory unit, and the transfer characteristics of a goat brain, explained through representative circuits.

Work in Progress

  1. 5G RAG-Based Conformance Testing
    In progress

    An end-to-end RAG framework that grounds LLM output in verified 5G specifications and handles cross-section dependencies through context retrieval. It generated 800 conformance test cases for 5G mobility management procedures in under 3 hours.

Research Experience

Researcher, Supply Chain Security and Runtime Secret Exfiltration Detection
United International University (UIU), Bangladesh
Nov 2025 – Present

Supervised by Prof. Md. Shohrab Hossain (BUET) and Prof. Suryadipta Majumdar (Concordia University). Investigates malicious container images and runtime attacks in Docker and Kubernetes, including reverse-shell execution and covert secret exfiltration, evaluating scanners, syscall tracing, and runtime monitoring.

  • Developed a hybrid detection pipeline combining static container image scanning with runtime monitoring.
  • Showed limits of existing vulnerability scanners against malicious behavior that does not rely on known vulnerabilities.
Undergraduate Researcher, 5G Security
BUET, with NYCU, Taiwan

Worked under Prof. Md. Shohrab Hossain with Prof. Ren-Hung Hwang and Prof. Ying-Dar Lin on LLM-based vulnerability detection in 5G specifications (see 5GPT above).

Grants & Funding

AI-Powered Contradiction and Conflict Detection in Evolving Documents
ICSETEP, University Grants Commission (UGC), Bangladesh. Role: Researcher
Dec 2025 – Dec 2027

RAG and knowledge-graph based document understanding and contradiction detection over time.

Kubernetes Supply Chain Security and Runtime Secret Exfiltration Detection
Funded by United International University (UIU). Role: Researcher
2025
AI-Augmented Repository-Level Bug Localization and Automated Patch Generation
SICIP, BIRDI. Role: Researcher
Under review

AI-driven bug localization and patch generation with a large-scale debugging dataset.

Projects

MeshMITM – Simulating MITM in Kubernetes Service Mesh

This project simulates Man-in-the-Middle (MITM) attacks in a Kubernetes + Istio service mesh and builds an anomaly detection framework based on latency features. Started with simuating various MITM attacks (service impersonation, traffic interception, metadata exposure) in a microservice architecture, and mitigation using Istio AuthorizationPolicies and scoped service accounts. Then developed an anomaly detection framework using Prometheus metrics to identify MITM-induced anomalies. By analyzing p50/p90/p99 latencies, dispersion indices, burstiness, drift measures, the system captures subtle delays and artifacts caused by malicious proxies. Lightweight models such as One-Class SVM, Isolation Forest, and shallow autoencoders are applied with sliding-window post-processing for stable detection.

Tech Stack:

Kubernetes (Minikube) Istio Python Numpy Pandas Flask Docker mTLS Microservices
View Details

Climate Report generation from Bengla Audio

Finalist at Ai Meet Climate Actions, OXFAM

The Audio Reporting System is an AI-powered platform that transforms disaster-related phone calls into structured, actionable PDF reports for emergency response teams. Designed to work without smartphones, apps, or internet access, it captures voice reports, transcribes them into text, extracts key details, and generates professional reports enriched with contextual information. With built-in scalability, human validation options, and a fine-tuning pipeline for continuous improvement, the system ensures faster, more reliable crisis reporting while empowering responders to act quickly and effectively.

Tech Stack:

Facebook M4tv2 model Gemini 2.0 Pydantic Pandas ML models Flask Docker RabbitMQ MongoDB Ml Flow
View Details

Deepfakes

Best Paper Award, NSysS-2025

This project investigates generating and detecting deepfake content to examine the dual use of generative AI in multimedia. It uses face-swapping with InsightFace, VAEs, and GANs for realistic video edits, while fine-tuning transformer models (ViT, SigLIP) and an LSTM classifier for temporal detection. Optimized for GPU on Google Colab with automated dataset management, it offers reproducible pipelines for training, evaluation, and inference, providing insights into both deepfake creation and defense

Tech Stack:

PyTorch Torchvision Transformers InsightFace ONNXRuntime-GPU OpenCV Pillow Imbalanced-learn SigLIP-2 LSTM
View Details

Neer–Automated Quality Assurance and Monitoring of Urban Water Usage

Finalist at WICC, 2022

This project aims to design a smart water management model aligned with the under-development District Metering Area (DMA) System. The proposed system leverages IoT-enabled digital meters to automatically update water consumption and quality data to secure cloud storage at regular intervals. IoT sensors will continuously measure various water quality parameters, ensuring real-time monitoring and transparency. The stored data will be systematically fed into a machine learning model, enabling advanced comparison, analysis, and forecasting of water quality trends across different regions. By integrating IoT, cloud computing, and predictive analytics, this system will support proactive water management, early anomaly detection, and sustainable resource utilization.

Tech Stack:

Arduino IoT sensors Wi-Fi Cloud database ML models
View Details

Anomaly Detection in ECG

Academic Project (CSE-472)

Project uses transformer model (encoder) layer to separate healthy heart signals from unhealthy ones. We used MIT-BIH Arrhythmia dataset to train and test our model. The model achieved high accuracy in classifying ECG signals. The project also includes data visualization using libraries like Matplotlib and Plotly to analyze ECG patterns and anomalies.

Tech Stack:

NumPy Pandas Matplotlib Plotly PyTorch Transformer Python
View Details

Gender Inequality and Climate Change Analysis

Nasa Space Apps Challenge, 2024

This project explores the relationship between gender inequality and climate change. The analysis leverages various data visualization and data manipulation libraries in Python to provide insights into how these two critical issues intersect. This was crafted to participate in the Nasa Space Apps Challenge, 2024 competition.

Tech Stack:

NumPy Pandas Matplotlib Plotly PyTorch Transformer Python
View Details

Metal Trade Clustering Analysis

Collaboration Project

Collaborated with the Mechanical Engineering Department on a research project analyzing raw material import data (2017–2021). Applied K-Means and Gaussian Mixture Models to cluster metals based on import quantities and price variations

Tech Stack:

Python Pandas Numpy Scikit-learn Matplotlib K-means clustering GMM clustering
View Details

Dynamic Document Parser

Academic Project (CSE-408)

Software designed to automate document processing by leveraging OCR technology and dynamic document templates.

Tech Stack:

Git CI/CD Docker Microservices Tesseract MongoDB Prisma EJS JavaScript
View Details

Peek a Book

Academic Project (CSE-216)

PeekAbook is an online book buying site where one can find various bookshops and buy books from those shops.

Tech Stack:

OracleDB PL/SQL Handlebars REST API HTML CSS
View Details

3D Solar System

Java application utilizes JavaFX to create a visually engaging 3D model of the solar system.

Tech Stack:

Java JavaFX Threading 3D Animation
View Details

Technology

Network and Security Tools

Wireshark Open5gs UERANSIM NS2 Nmap Wazuh Blackeye MaskPhish SRSran

Machine Learning & AI

TensorFlow PyTorch Scikit-learn SciPy Hugging Face LangChain OpenAI Gemini KNN GMM DBSCAN Hierarchical Clustering

Computer Vision & NLP

OpenCV Tesseract EasyOCR PaddleOCR InsightFace DeepFace VGGFaceNet NLTK Transformers

Data Science & Visualization

Pandas NumPy Matplotlib Seaborn FAISS Pinecone Vector DBs neo4j

LLM Engines & MLOps

Ollama VLLM TGI Lorax MLflow Docker Apisix Firebase MinIO RabbitMQ

Programming & Databases

Python Java SQL JavaScript Bash C++ C MongoDB Atlas Oracle MySQL SQLite Cypher

Education

BSc in Computer Science and Engineering

Bangladesh University of Engineering and Technology (BUET)

CGPA: 3.55/4.00 (Senior year CGPA: 3.70/4.00)

College

Notre Dame College, Dhaka

GPA: 5.00/5.00

Online Courses

  • Agentic Knowledge Graph Construction with neo4j (Deeplearning.ai)
  • Neural networks and Deep learning, Improving Deep Neural networks: Hyper parameter tuning. (Coursera)
  • Intermediate Machine Learning (Kaggle)
  • Python for everybody (5 course specialization) (Coursera)
View Certificates

Awards & Achievements

Best Paper Award

Won The Best Paper Award at the 12th International Conference on Next Generation Computing, Communication, Systems and Security. Paper Title: Bypassing Conventional eKYC: How Far Can We Go using Deepfake?

2025

Poster Presentation Champion

Became Poster Presentation Champion at International Conference on Networking System and Security (NSysS)

2021

Finalist

AI Meets Climate Action by OXFAM

2025

Finalist

WICC (Water Innovation Challenge Competition)

2022

Scholarship

Government scholarship awarded by Dhaka Education Board for brilliant academic performance in Higher Secondary Certificate public examination.

2018

Scholarship

Government scholarship awarded by Rajshahi Education Board for brilliant academic performance in School Secondary Certificate public examination.

2016

বিভাগীয় পর্যায়ে সেরা মেধাবী (Divisional Champion, Rajshahi division)

সৃজনশীল মেধা অন্বেষণ প্রতিযোগিতা, বিজ্ঞান (Creative Talent Hunt, Science)

2013

Sports

Inter Faculty Cricket Tournament Runner-up

2023

Contact Me

Dhaka, Bangladesh

(+88) 01882637342

asifurbuet98@gmail.com

asifurndc8030@gmail.com