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% ==================== DOCUMENT ====================
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% ==================== HEADER ====================
\begin{center}
    {\large\textbf{Mohammad Ninad Mahmud Nobo}} \\
    \vspace{1pt}
    {\textbf{Bangladesh University of Engineering and Technology (BUET) | CSE}} \\
    \vspace{3pt}
    \small
    \faEnvelope\ \href{mailto:mninadmnobo@gmail.com}{mninadmnobo@gmail.com} \quad
    \faGithub\ \href{https://github.com/mninadmnobo}{github.com/mninadmnobo} \quad
    \faLinkedin\ \href{https://www.linkedin.com/in/mninadmnobo}{linkedin.com/in/mninadmnobo} \\
    \faGlobe\ \href{https://mninadmnobo.github.io}{Portfolio (mninadmnobo.github.io)} \quad
    \faGraduationCap\ \href{https://scholar.google.com/citations?user=y5-A2oAAAAAJ&hl=en&oi=ao}{Google Scholar (M Ninad M Nobo)} \quad
    \faPhone\ \href{tel:+8801939444451}{+880 1939-444451}
\end{center}

% ==================== SUMMARY ====================
\section{Summary}

B.Sc. graduate in Computer Science and Engineering from BUET with experience in building intelligent systems at the intersection of large language models, software automation, and applied machine learning. Hands-on experience developing AI-driven applications across backend and mobile platforms with a strong focus on software engineering and scalable system design. Research interests include LLM-based software testing, AI evaluation, and medical AI, with experience in developing practical AI-powered solutions.

% ==================== EDUCATION ====================
\section{Education}

\textbf{Bangladesh University of Engineering and Technology (BUET)} \hfill \textbf{2022 -- 2026} \\
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Bachelor of Science in Computer Science and Engineering (CSE) & \textbf{CGPA: 3.60 / 4.00}
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\textbf{Relevant Coursework:} Data Structures and Algorithms, Digital Logic Design, Database Systems, Operating Systems, Computer Architecture, Computer Networks, Computer Graphics, Algorithm Engineering, Artificial Intelligence, Machine Learning \\
\textbf{Research Interests:} LLM Systems, Software Testing Automation, Applied Machine Learning, Medical AI, Computer Networks

% ==================== RESEARCH EXPERIENCE ====================
\section{Research Experience}

\resumeSubHeadingListStart

\resumeProject
{AutoTestGenX: Multi-Agent LLM Framework for End-to-End Web Testing}
{[ \href{https://github.com/mninadmnobo/Test-Case-Generator}{GitHub} ]}
{Python • LLM Engineering • Multi-Agent Systems • Web Testing • Browser Automation}
{2025 -- 2026}
\resumeItemListStart
\item Developed a multi-agent LLM framework for automated web test generation and execution from natural-language requirements.
\item Built benchmark datasets and evaluated generated test suites against engineer-validated ground-truth test suites.
\item Achieved 84.0\% test scenario coverage and 90\% error detection, outperforming zero-shot and few-shot prompting approaches.
\resumeItemListEnd

\resumeProject
{MedCAR: Conflict-Aware Medical Reasoning System (Under Review)}
{[ \href{https://github.com/mninadmnobo/MedCAR}{GitHub} ]}
{Python • Deep Learning • Medical AI}
{2026}
\resumeItemListStart
\item Built a multi-model system for chest X-ray analysis integrating heterogeneous AI tools.
\item Developed a conflict resolution pipeline to reconcile contradictory outputs using semantic reasoning and confidence calibration.
\item Designed trust-aware decision framework with uncertainty-based abstention for reliable predictions.
\resumeItemListEnd

\resumeProject
{Bengali-Loop: Community Benchmarks for Long-Form Bangla ASR and Speaker Diarization}
{[ \href{https://arxiv.org/abs/2602.14291}{arXiv: 2602.14291} ]}
{Python • Speech Processing • Machine Learning}
{2026}
\resumeItemListStart
\item Contributed to building a large-scale benchmark dataset for long-form Bangla ASR and speaker diarization in a multi-institution collaboration, developing data collection and annotation pipelines for real-world speech data.
\item Designed subtitle extraction and annotation workflows enabling evaluation with WER and DER.
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% ==================== PROJECTS ====================
\section{Projects}

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\resumeProject
{MindTrace: AI-Powered Dementia Care Application}
{[ \href{https://github.com/mninadmnobo/MindTrace}{GitHub} \textbar\
\href{https://www.youtube.com/watch?v=BpRmKZYAOhM}{Feature} \textbar\
\href{https://www.youtube.com/watch?v=i0GG_g0eZck}{Infrastructure} ]}
{Kotlin • Spring Boot • Spring AI • PostgreSQL • Redis • Firebase • Docker • Azure}
{2025}
\resumeItemListStart
\item Engineered an AI-driven mobile–backend system for dementia care with an Android frontend and scalable Spring Boot architecture, enabling real-time caregiver workflows and seamless system integration.
\item Designed accessibility-first UI/UX for cognitively impaired users, focusing on clarity, simplified interactions, and usability to enhance engagement and reduce cognitive load.
\resumeItemListEnd

\resumeProject
{Gemma VetCare: AI-Assisted Farming Support System}
{[ \href{https://github.com/mninadmnobo/GemmaVetCare}{GitHub} \textbar\
\href{https://www.youtube.com/watch?v=EoxyudCIVSo}{Feature} ]}
{Kotlin • Android Studio • Spring Boot • Spring AI • MongoDB}
{2025}
\resumeItemListStart
\item Built an AI-assisted Android application for veterinary decision support, integrating backend services to deliver real-time recommendations for diagnosis and treatment workflows.
\item Designed RESTful APIs optimized for low-connectivity environments with efficient request handling and streamlined data flow.
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\resumeProject
{Compiler Construction (Flex, Bison, 8086 Codegen)}
{[ \href{https://github.com/mninadmnobo/CompilerSessional}{GitHub} ]}
{C++17 • Flex • Bison/Yacc • Linux}
{2024}
\resumeItemListStart
\item Designed and implemented a full compiler pipeline for a C-like language, encompassing lexical analysis, parsing, semantic analysis, and intermediate code generation.
\item Generated optimized 8086 assembly code with symbol table management and basic optimizations.
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\resumeProject
{Computer Graphics Pipeline Implementation}
{[ \href{https://github.com/mninadmnobo/Computer-Graphics-Pipeline}{GitHub} ]}
{C++17 • OpenGL/GLUT • Rasterization • Ray Tracing}
{2025}
\resumeItemListStart
\item Implemented a complete graphics pipeline including transformations, clipping, rasterization with Z-buffering, and ray tracing.
\item Developed OpenGL-based rendering demos with camera systems supporting 6-DOF control and real-time interaction.
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% ==================== TECHNICAL SKILLS ====================
\section{Technical Skills}
\textbf{Languages:} C/C++, Python, Java, Kotlin, JavaScript, SQL \\
\textbf{Frontend:} React, Embedded JavaScript (EJS), HTML, CSS3 \\
\textbf{Backend \& APIs:} Spring Boot, Spring AI, Node.js, Express.js, REST APIs, Secure API Design \\
\textbf{AI/ML:} PyTorch, TensorFlow, Scikit-learn, Large Language Models (LLMs), Prompt Engineering, Multi-Agent Systems \\
\textbf{Mobile Development:} Android, Kotlin, Android Studio \\
\textbf{Databases:} PostgreSQL, MongoDB, Redis \\
\textbf{DevOps \& Tools:} Linux, Git, Docker, Docker Compose, GitHub Actions, Firebase

% ==================== ADDITIONAL INFORMATION ====================
\section{Additional Information}

\textbf{Spoken Languages:} Bangla (Native), English (Fluent), Hindi \& Urdu (Conversational), Arabic (Reading)

\noindent\textbf{Programming Profiles:} 
\hspace{1em}
\href{https://neetcode.io/profile/mninadmnobo}{NeetCode: mninadmnobo}
\hspace{1em}
\href{https://leetcode.com/u/mninadmnobo}{LeetCode: mninadmnobo}

\noindent\textbf{Research Profiles:} 
\href{https://orcid.org/0009-0006-2781-6693}{ORCID: 0009-0006-2781-6693}
\hspace{1em}
\href{https://www.researchgate.net/profile/Mohammad-Ninad-Mahmud-Nobo}{ResearchGate: Mohammad Ninad Mahmud Nobo}

\end{document}
