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MD Aurongojeb Lishad
AI / Research

MD AURONGOJEB LISHAD

Computer Science graduate from North South University, Bangladesh. Research interests in Machine Learning, LLM-based Systems, Time-Series Forecasting, Explainable AI, and Knowledge Distillation. Multiple peer-reviewed first-author papers. Preparing for graduate studies abroad.

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Affiliation North South University · Dhaka, Bangladesh
Status Prospective Master's Student · Seeking Opportunities
Research Profile

ABOUT ME

I am an AI researcher and recent Computer Science graduate from North South University, Bangladesh. My work focuses on machine learning, prompt engineering, explainable AI, time-series forecasting, and efficient deep learning.

I served as Teaching Assistant and Research Assistant at North South University and have authored multiple peer-reviewed conference papers as first author, including publications at IEEE conferences.

Currently, I am preparing for graduate studies abroad and seeking opportunities to contribute to impactful research in intelligent systems and applied machine learning. I completed my Bachelor's in 3.5 years with CUM Laude distinction, achieving a CGPA of 3.62/4.00 (Last 6 semesters: 3.87).

3+ Papers
Peer-reviewed publications
First Author
All publications
Research Areas
ML, LLMs, XAI, Forecasting
Research Exp.
Since 2025
Education
2022 — Dec 2025
North South University
BSc in Computer Science · CGPA 3.62/4.00 · CUM Laude · Dhaka
2020
Police Lines School & College
Higher Secondary Certificate · GPA 5.00/5.00 · Rangpur
2018
Rangpur Zilla School
Secondary School Certificate · GPA 5.00/5.00 · Rangpur
Areas of Focus

RESEARCH INTERESTS

Large Language Models (LLMs)
Architecture, fine-tuning, evaluation
Prompt Engineering & Agentic AI
Multi-step reasoning, autonomous systems
Explainable AI (XAI)
SHAP, LIME, interpretability methods
Time-Series Forecasting
Economic & demand prediction models
Knowledge Distillation
Efficient model compression techniques
Efficient Deep Learning
Resource-constrained environments
Healthcare AI
Medical imaging, clinical decision support
Natural Language Processing
Transformers, multilingual models
Academic Roles

EXPERIENCE

Jan 2026
– May 2026
Teaching
Teaching Assistant
North South University
Courses: Introduction to Python · Theory of Computation
  • Assisted undergraduate courses through grading, exam proctoring, and student consultations regarding course topics.
Jan 2026
– Present
Research
Research Assistant
North South University
Ongoing Research Projects
Security and Defense Mechanisms for RAG-Based Systems
A Cross-Disciplinary Study of Learning Patterns & Motivation in Introductory Programming
LLM-Based Advisory System
  • Supported faculty research activities including writing research proposals, obtaining approvals, data collection, literature reviews, experimental evaluation, and manuscript writing.
  • Conducted experiments, data analysis, data collection, literature reviews, experimental evaluation, and manuscript writing.
Independent Research
  • Investigated knowledge distillation techniques for resource-constrained deep learning and built a lower parameter model for skin disease classification.
  • Developed forecasting models for Bangladesh inflation and electricity demand using statistical and machine learning approaches.
  • Designed interpretable predictive systems emphasizing forecasting accuracy and explainability.
  • Authored and presented peer-reviewed conference papers as first author at IEEE-affiliated international conferences.
Peer-Reviewed Work

PUBLICATIONS

01
First Author Presented IEEE · ICIICE 2026
Explainable Stacking for Bangladesh CPI: Ridge-Meta Ensembles with SHAP/LIME
International Conference on Integrated Intelligence and Cognitive Engineering (ICIICE 2026, Dubai) · IEEE
This paper presents an explainable stacking ensemble framework for forecasting Bangladesh's Consumer Price Index (CPI). Leveraging Ridge regression as a meta-learner on top of diverse base models, combined with SHAP and LIME for post-hoc interpretability, the approach yields both accurate macroeconomic predictions and transparent feature attributions—enabling policymakers to understand the key drivers behind inflation trends.
Full Paper
02
First Author Published IEEE · ICAUC 2027
Ultra Lightweight Knowledge Distillation for Resource-Constrained Skin Lesion Classification
International Conference on AI-Driven Smart Systems and Ubiquitous Computing (ICAUC 2027, Thailand) · IEEE
This work proposes an ultra-lightweight knowledge distillation pipeline for skin lesion classification targeting resource-constrained deployment scenarios. A compact student network trained under the guidance of a high-capacity teacher achieves competitive diagnostic accuracy with dramatically reduced parameter counts and inference costs, making clinical-grade dermatological AI accessible on edge devices.
Full Paper
03
First Author Published APMEE 2025
A Multi-LLM Prompt Engineering Approach to Personalized Skill Recommendation and Learning Path Generation
The 6th Annual Paper Meet (APMEE 2025, Bangladesh)
This study introduces a multi-LLM prompt engineering framework that generates personalized skill recommendations and adaptive learning paths. By orchestrating multiple large language models with structured prompting strategies—including schema-guided reflection and chain-of-thought decomposition—the system delivers highly contextualized career development guidance tailored to individual learner profiles and job market signals.
Full Paper
Selected work

RESEARCH PROJECTS

01
PythonML / DLLLMsXAI
GRIDGENIUS
AI-powered energy planning platform using BPDB data. Forecasts daily electricity demand with advanced ML models, an explainable AI chatbot ("Ask Genius"), and rich macroeconomic visualizations.
02
LLMsPythonPrompt Engineering
PATHORA
AI-powered career guidance system with a multi-stage LLM pipeline analyzing 400+ job market datasets. Reduced model hallucination by 48.5% through schema-guided reflective prompt engineering.
03
PyTorchByT5NLP
BYTE-LEVEL TRANSLITERATION
Robust NLP pipeline using ByT5 transformers to transliterate noisy "Banglish" (Romanized Bengali) into standard Bengali script with cross-lingual sentiment validation.
04
C++STM32IoT
ENVIROGATE
Smart occupancy monitoring IoT system for server rooms using STM32 microcontrollers. Monitors real-time temperature, humidity, and occupancy with automated safety triggers.
05
PHPMySQLJavaScript
LIBRARY MANAGEMENT SYSTEM
Intelligent library platform with hybrid book recommendations, real-time availability, auto-return, reservations, and smart notifications. Industry-standard SDLC with SOLID principles.
Featured writing
Article
LinkedIn Article · Technology & Economics
Unlocking Bangladesh's Potential in the Global Tech Industry

Bangladesh holds the 21st position in IT outsourcing globally and the second-highest share of independent contractors worldwide. Can this growth truly enhance the nation's wealth?

Read full article
Technical Competencies

SKILLS

Programming & Machine Learning
PythonPrimary language
JavaOOP proficient
CFoundation
PHPDynamic backends
PyTorchDeep learning
TensorFlowModel training
Scikit-learnClassical ML
XGBoostBoosting methods
LightGBMFast gradient boost
CatBoostCategorical features
LLM, NLP & Data Science
LangChainLLM pipelines
TransformersHuggingFace
Prompt Eng.Chain-of-thought
ByT5Byte-level NLP
GPTOpenAI APIs
GeminiGoogle AI
PandasData wrangling
NumPyNumerical compute
MatplotlibVisualization
SeabornStatistical plots
SHAPExplainability
LIMELocal explanations
Tools & Environment
GitVersion control
VS CodePrimary IDE
JupyterNotebook workflow
Google ColabGPU compute
OverleafLaTeX / papers
GitHubCollaboration
Highlights

SELECTED ACHIEVEMENTS

Teaching Assistant & Research Assistant
North South University, Jan–May 2026
Bachelor's in 3.5 Years · CUM Laude
CGPA 3.62/4.00 · NSU Computer Science
Three First-Author Papers
Sole first author across all publications
IEEE Publication
Published at IEEE-affiliated international conference
International Conference Presentations
Presented at Dubai (IEEE ICIICE 2026)
Multidisciplinary Research
Healthcare AI, Forecasting, Prompt Engineering, LLM systems
Credentials & Recognition

CERTIFICATES

IEEE Certificate
Save
IEEE
Conference Participation Certificate — ICIICE 2026
Certificate of participation and paper presentation at the International Conference on Integrated Intelligence and Cognitive Engineering, Dubai, UAE.
2026 IEEE
RA Certificate
Save
North South University
Research Assistantship Certificate
Official certificate recognizing service as Research Assistant at North South University, contributing to active faculty research projects.
Jan 2026 – Present NSU
TA Certificate
Save
North South University
Teaching Assistantship Certificate
Official certificate for service as Teaching Assistant for Introduction to Python and Theory of Computation courses at North South University.
Jan – May 2026 NSU
CUM Laude Award
Save
North South University
CUM Laude Academic Achievement Award
Awarded CUM Laude distinction upon completion of BSc in Computer Science with CGPA 3.62/4.00, finishing the degree in 3.5 years.
Dec 2025 Academic Award

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Open to Opportunities

LOOKING FOR

I am currently preparing for graduate studies and actively seeking Master's and research opportunities in Machine Learning, LLMs, Explainable AI, and Efficient Deep Learning.

I welcome collaborations and discussions with researchers and graduate programs worldwide. If your lab or program works on intelligent systems, efficient deep learning, or LLM-based applications — I would love to connect.

Master's Programs Research Positions Machine Learning LLMs & NLP Explainable AI Efficient Deep Learning Healthcare AI Academic Collaboration
Get in touch

LET'S CONNECT

Whether you have a research collaboration, graduate program opportunity, or simply want to discuss ideas — my inbox is always open.

Location
Dhaka, Bangladesh · Hometown: Rangpur
University
North South University · BSc CS (Graduate)
Seeking
Master's Programs · Research Positions