Curriculum
Vitae

B.Sc. in Computer Science

• Focus: Artificial Intelligence & Machine Learning
• Research Thesis: "A Transformer-Based Framework for Next-Gen Solutions"
• CGPA: 3.71 / 4.00 (Merit Scholarship Recipient)
• Relevant Coursework: Algorithms, Data Structures, Applied ML, Pattern Recognition

FinTech Young Talent Cohort | Intern

• Selected for inaugural FinTech internship (1.5% acceptance rate); analyzing digital architecture of a major national bank.
• Engaging in cross-functional research on fintech ecosystem integration and digital transformation strategies.

Computer Science Instructor

• Delivering comprehensive lectures on algorithms, data structures, and system architecture for O-Level curriculum.
• Developed custom learning materials to improve student engagement and programming fundamentals.

Junior Executive, Research & PM

• Contributed to foundational engineering workshops and research project planning.
• Collaborated on early-stage robotics prototypes and technical documentation.

Instructor (STEM)

• Conducted classes in Mathematics, Physics, and IT for students (Grades 5-10).
• Mentored students to improve conceptual understanding in core STEM subjects.

Project Lead & Researcher

• Developing a modality-aware Transformer to diagnose neurodegenerative diseases (AD, PD, MS) from multi-modal inputs (EEG, fMRI, sMRI).
• Implemented "modality dropout" for robustness to missing data and SHAP-based explainability for clinical trust.

Lead Researcher

• Developed "Knowledge Graph Separation" metric to quantify LLM embedding alignment with biomedical knowledge graphs.
• Fine-tuned Llama-3, Mistral, and Phi-3 using QLoRA; achieved 83.8% accuracy, outperforming BioMistral-7B.

Lead Researcher

• Architected a multi-task U-Net for simultaneous tumor segmentation and classification from ultrasound images.
• Achieved 85.4% Dice coefficient and 87.5% accuracy with statistical validation.

Independent Researcher

• Built a stacking ensemble model (XGBoost, LSTM) forecasting U.S. recessions with 96% accuracy and 100% recall.
• Applied SHAP analysis to validate economic indicators and model interpretability.

• Built a full-stack platform transforming form data into pure LaTeX/PDF resumes.
• Engineered a live preview system with real-time compilation and cryptographic watermarking.

• Implemented a two-pass compiler with lexical analysis, AST generation, and 3-address code generation.
• Handled symbol table management, type checking, and scope resolution.