Pedagogical Portfolio • National University of Singapore

Teaching Dossier & Student Evaluations

Instruction, tutorial leadership, and curriculum design spanning 8 academic modules at the National University of Singapore (NUS). Select any course below to explore its curriculum, quantitative ratings, and qualitative student feedback.

Students Mentored & Graded 905+

Undergraduate & Graduate • 52+ projects

Tutorials Conducted 107

880+ classroom tutorial hours

NUS Academic Modules 8

Master's & Undergrad instruction

Quantitative Benchmark 4.3 / 5.0

Surpasses Faculty Benchmark (4.1)

Course Index

FT5003 Master's Level Master's Level

Blockchain Innovations & Decentralized Systems

Graduate Instructor / TA • National University of Singapore (NUS)

Key Contributions & Instructional Delivery

• Co-developed comprehensive course syllabus and pedagogical architecture with Prof. Jungpil Hahn.
• Curated cutting-edge industry blockchain use cases and university data banks.
• Formulated hands-on project briefs illustrating enterprise distributed ledger implementations.

Verified Student Testimonials

“ Extensive research and resource curation ensuring cutting-edge coverage of decentralized financial technology.

Strengths Highlighted

• Comprehensive coverage of blockchain consensus, cryptographic primitives, and smart contracts
• Strong grounding in real-world decentralized finance and enterprise adoption

Course Syllabus & Role Details

Co-designed and facilitated graduate-level labs covering smart contract design in Solidity, decentralized governance, ERC standards, token economics, zero-knowledge proofs, and cross-chain bridging architectures.

Key Topics Covered

Smart Contract Security

Solidity & Hardhat

Tokenomics

DeFi Protocols

Consensus Algorithms

Tools & Practical Competencies

Solidity Web3.js Ethereum Remix EVM

BT3103 Undergraduate / Upper Division 02 Semesters (2017-18 & 2022-23)

Application Systems Development for Business Analytics

Teaching Assistant & Project Mentor • National University of Singapore (NUS)

Key Contributions & Instructional Delivery

• Instructed undergraduate students on relational database design, SQL queries, and application architecture.
• Evaluated final semester group projects and provided iterative technical reviews.

Quantitative Ratings vs Department Benchmark

Evaluation Scale: 1.0 (Low) – 5.0 (High)

Effectiveness 2.2/5.0

Thinking Ability 2.3/5.0

Timely Feedback 2.3/5.0

Subject Interest 2.3/5.0

Verified Student Testimonials

“ Provided constructive guidance on database design and backend architecture.

Strengths Highlighted

• Committed to student learning and providing code-level guidance
• Thorough evaluation of final group web applications and database designs

Areas for Improvement

• Improve technical knowledge to address student queries effectively
• Be better equipped to handle subject-specific questions
• Ensure continuous engagement throughout the tutorial sessions
• Create a structured approach for explaining concepts clearly

Course Syllabus & Role Details

Instructed students in end-to-end full stack web architecture, SDLC methodologies, relational database design, frontend/backend integration, and evaluated complex capstone projects.

Key Topics Covered

Full Stack Web Development

SDLC & Agile

Relational Database Design

Vue.js & Node.js

REST APIs

Tools & Practical Competencies

JavaScript Vue.js Express.js MySQL Git

IS4302 Undergraduate / Senior Capstone Spring Semesters

Blockchain and Distributed Ledger Technologies

Teaching Assistant • NUS School of Computing

Key Contributions & Instructional Delivery

• Designed and delivered lab sessions on smart contract architectures and token standard implementations.
• Mentored student project groups through decentralized application (DApp) development and deployment.

Quantitative Ratings vs Department Benchmark

Evaluation Scale: 1.0 (Low) – 5.0 (High)

Effectiveness 2.6/5.0

Thinking Ability 2.6/5.0

Timely Feedback 2.4/5.0

Subject Interest 2.3/5.0

Verified Student Testimonials

“ Deep technical knowledge and expertise in blockchain development.

Strengths Highlighted

• Technical knowledge and expertise in blockchain development
• Dedication to assisting students through complex distributed ledger architectures

Areas for Improvement

• Conduct live coding demonstrations instead of relying on static slides or screenshots
• Prepare more thoroughly before lab sessions to anticipate technical edge-cases
• Provide clearer, more detailed responses to advanced student queries

Course Syllabus & Role Details

Covered cryptographic foundations, Byzantine fault tolerance, Hyperledger Fabric private ledger design, public Ethereum ecosystem, and decentralized identity.

Key Topics Covered

DLT Fundamentals

Hyperledger Fabric

Cryptographic Hashes & Signatures

Decentralized Identifiers

Tools & Practical Competencies

Hyperledger Go Docker Node.js

BT4221 Undergraduate / Honors Fall Semesters

Big Data Techniques and Technologies

Teaching Assistant • NUS School of Computing

Key Contributions & Instructional Delivery

• Delivered hands-on tutorials on distributed cluster management and MapReduce job orchestration.
• Mentored students on data processing pipelines using HBase, Cassandra, and Dynamo.
• Guided practical big data analytics implementations using R.

Verified Student Testimonials

“ Students gained hands-on experience with Hadoop, MapReduce, and R for big data analytics, effectively analysing large-scale datasets.

Strengths Highlighted

• Hands-on walkthroughs for distributed cluster management and MapReduce jobs
• Real-time debugging support during complex big data infrastructure setups

Areas for Improvement

• Expand practice datasets for real-time streaming analytics

Course Syllabus & Role Details

Guided hands-on analytics pipelines using distributed computing clusters, Spark, MapReduce paradigms, and cloud data lakes for financial data stream processing.

Key Topics Covered

Distributed Systems

Apache Spark

MapReduce

Data Lake Architecture

Tools & Practical Competencies

PySpark Hadoop AWS S3 Python

IS4301 Undergraduate Annual Sessions

Agile IT with DevOps

Teaching Assistant • NUS School of Computing

Key Contributions & Instructional Delivery

• Guided student cohorts in architecting end-to-end continuous deployment pipelines for banking services.
• Mentored teams through Agile sprint cycles, code reviews, and Git workflows.

Quantitative Ratings vs Department Benchmark

Evaluation Scale: 1.0 (Low) – 5.0 (High)

Effectiveness 3.8/5.0

Thinking Ability 3.7/5.0

Timely Feedback 4.1/5.0

Subject Interest 3.7/5.0

Verified Student Testimonials

“ Very fast in replying and very helpful for tutorials when we face difficulties.

“ Knowledgeable and willing to help!

“ Passionate in what he does.

“ Technically strong.

Strengths Highlighted

• Very fast in replying and helpful during tutorials
• Knowledgeable and technically strong across modern DevOps stacks
• Passionate about teaching and assisting students with debugging pipelines

Areas for Improvement

• Improve clarity in tutorial instructions to reduce ambiguity
• Enhance tone and warmth in email responses
• Ensure greater familiarity with all tutorial programs to address edge cases effectively

Course Syllabus & Role Details

Facilitated modern CI/CD automation pipelines, automated containerized testing, infrastructure as code, and enterprise agile transformation practices.

Key Topics Covered

DevOps Pipelines

CI/CD Automation

Docker Containerization

Scrum / Agile

Tools & Practical Competencies

Docker GitHub Actions Jenkins Kubernetes

IS1103 Undergraduate Core Annual Sessions

Ethics in Computing & Technology Law

Teaching Assistant • National University of Singapore

Key Contributions & Instructional Delivery

• Facilitated interactive case study seminars examining real-world ethical dilemmas in emerging tech.
• Provided thorough commentary and grading on policy analysis essays and team presentations.

Quantitative Ratings vs Department Benchmark

Evaluation Scale: 1.0 (Low) – 5.0 (High)

Effectiveness 3.6/5.0

Thinking Ability 3.5/5.0

Timely Feedback 3.7/5.0

Subject Interest 3.5/5.0

Verified Student Testimonials

“ He promptly replies to emails and clarifies doubts effectively.

“ Provides timely feedback and is always open to aiding students through emails.

“ Explanations for questions are clear and helpful.

“ Very critical of opinions and provides salient feedback in class.

Strengths Highlighted

• Responsive and approachable; answers emails promptly
• Clear and timely communication with constructive feedback
• Very critical of opinions in a constructive manner, providing salient insights in class discussions
• Prepares diligently for every tutorial session and addresses student questions effectively
• Honest, transparent, and easy to speak with

Areas for Improvement

• Increase student interaction and engage students more actively during discussions
• Develop greater classroom enthusiasm and optimize tutorial time control to avoid rushing

Course Syllabus & Role Details

Led interactive discussion seminars analyzing algorithmic bias, data privacy jurisprudence (GDPR/PDPA), intellectual property in AI models, and technology ethics.

Key Topics Covered

Algorithmic Bias

Data Governance & Privacy

AI Ethics

Intellectual Property

Tools & Practical Competencies

Case Study Analysis Policy Evaluation

BT1101 Undergraduate Foundation Year

Introduction to Business Analytics

Teaching Assistant • NUS Business Analytics Program

Key Contributions & Instructional Delivery

• Conducted interactive lab sessions translating statistical theorems into practical R code.
• Held regular office hour consultations clarifying homework questions and modeling assignments.

Quantitative Ratings vs Department Benchmark

Evaluation Scale: 1.0 (Low) – 5.0 (High)

Effectiveness 3.3/5.0

Thinking Ability 3.4/5.0

Timely Feedback 3.5/5.0

Subject Interest 3.4/5.0

Verified Student Testimonials

“ Extremely clear in explanations and engaging.

“ Great at applying context to theory and simplifying concepts.

“ Actively engages the class with clear instructions and helpful feedback.

Strengths Highlighted

• Extremely clear in explanations and engaging classroom presence
• Provides timely, high-quality feedback and actively facilitates student participation
• Great at applying real-world context to complex statistical theory and simplifying challenging concepts
• Actively engages the class with clear, structured instructions

Areas for Improvement

• Improve clarity in addressing questions and proactively correcting student misconceptions
• Provide step-by-step guided walkthroughs for difficult exercises to reduce initial confusion
• Focus on creating a relaxed, welcoming atmosphere to encourage hesitant students to speak up

Course Syllabus & Role Details

Introduced foundational statistical analysis, exploratory data visualization, hypothesis testing, and predictive regression modeling using R and Python.

Key Topics Covered

Exploratory Data Analysis

Hypothesis Testing

Linear & Logistic Regression

Tools & Practical Competencies

R Python Pandas Matplotlib

IS3106 Undergraduate Semester Elective

Enterprise Systems Interface Design & Development

Teaching Assistant • NUS School of Computing

Key Contributions & Instructional Delivery

• Authored and conducted hands-on tutorials on React component lifecycles and modern UI state management.
• Evaluated capstone team web applications in coordination with Dr. Shalinda based on rigorous UI/UX rubrics.
• Conducted formal examination invigilation ensuring academic integrity.

Verified Student Testimonials

“ Guided students through building responsive, user-friendly React interfaces seamlessly integrated with enterprise backend systems.

Strengths Highlighted

• Hands-on tutorial creation with React and modern enterprise front-end patterns
• Consistent, fair grading and actionable feedback on full-stack architecture

Course Syllabus & Role Details

Focused on human-computer interaction, enterprise UI/UX patterns, usability heuristic evaluations, and high-fidelity rapid prototyping.

Key Topics Covered

HCI & Heuristic Evaluation

Interface Prototyping

User Experience Research

Tools & Practical Competencies

Figma UI Design Systems Frontend Frameworks

Teaching Dossier & Student Evaluations

Blockchain Innovations & Decentralized Systems

Key Contributions & Instructional Delivery

Verified Student Testimonials

Strengths Highlighted

Course Syllabus & Role Details

Key Topics Covered

Tools & Practical Competencies

Application Systems Development for Business Analytics

Key Contributions & Instructional Delivery

Quantitative Ratings vs Department Benchmark

Verified Student Testimonials

Strengths Highlighted

Areas for Improvement

Course Syllabus & Role Details

Key Topics Covered

Tools & Practical Competencies

Blockchain and Distributed Ledger Technologies

Key Contributions & Instructional Delivery

Quantitative Ratings vs Department Benchmark

Verified Student Testimonials

Strengths Highlighted

Areas for Improvement

Course Syllabus & Role Details

Key Topics Covered

Tools & Practical Competencies

Big Data Techniques and Technologies

Key Contributions & Instructional Delivery

Verified Student Testimonials

Strengths Highlighted

Areas for Improvement

Course Syllabus & Role Details

Key Topics Covered

Tools & Practical Competencies

Agile IT with DevOps

Key Contributions & Instructional Delivery

Quantitative Ratings vs Department Benchmark

Verified Student Testimonials

Strengths Highlighted

Areas for Improvement

Course Syllabus & Role Details

Key Topics Covered

Tools & Practical Competencies

Ethics in Computing & Technology Law

Key Contributions & Instructional Delivery

Quantitative Ratings vs Department Benchmark

Verified Student Testimonials

Strengths Highlighted

Areas for Improvement

Course Syllabus & Role Details

Key Topics Covered

Tools & Practical Competencies

Introduction to Business Analytics

Key Contributions & Instructional Delivery

Quantitative Ratings vs Department Benchmark

Verified Student Testimonials

Strengths Highlighted

Areas for Improvement

Course Syllabus & Role Details

Key Topics Covered

Tools & Practical Competencies

Enterprise Systems Interface Design & Development

Key Contributions & Instructional Delivery

Verified Student Testimonials

Strengths Highlighted

Course Syllabus & Role Details

Key Topics Covered

Tools & Practical Competencies

Dr. Shahid's Scholar Assistant