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Education

  • Integrated M.S./Ph.D. in Artificial Intelligence
    Korea Advanced Institute of Science & Technology (KAIST) · Seoul, South Korea

    Advisor: Se-Young Yun (Optimization & Statistical Inference Lab). Research focus: efficient long-context LLMs.

  • B.E. in Computer Science and Engineering
    National University of Sciences & Technology (NUST) · Islamabad, Pakistan

    Thesis: IoT-Based Intelligent Manufacturing Execution System with Predictive Analysis.

Research Experience

  • Graduate Researcher
    Korea Advanced Institute of Science & Technology · Seoul, South Korea

    Developing efficient long-context architectures within the Optimization & Statistical Inference (OSI) Lab. Earlier at the xfact Lab — investigated the causal effect of residual connections on layer redundancy in LLMs.

  • Research Intern
    RiseTech · Islamabad, Pakistan

    Implemented a U-Net architecture for high-fidelity spinal segmentation and automated scoliosis classification. Developed a vision–language model to generate clinical diagnostic text from chest X-ray imaging.

Current Research

Content-Aware Sparsity:
Dropping distractor tokens by content, not position — cutting noise as well as compute in long-context models.

Technical Infrastructure

  • GPU Cluster & HPC Infrastructure — KAIST AI

    Built and migrated individual servers into a 9-node, 68-GPU Slurm-managed fleet — FreeIPA identity, Netbird WireGuard control plane, and TrueNAS-backed shared home storage. Migrated 50+ users to a unified UID namespace and enforced cgroups-v2 with NUMA-aware GPU bindings for strict per-job CPU/GPU isolation.

Awards

  • Commandant Gold Medal of Excellence · National University of Sciences & Technology
  • Commandant Silver Medal of Excellence · National University of Sciences & Technology

Scholarships

  • Fully-Funded Ph.D. Scholarship · Korea Advanced Institute of Science & Technology
  • Merit-Based Scholarship (3 years) · National University of Sciences & Technology

Teaching & Mentoring

  • Teaching Assistant — Deep Learning for Natural Language Processing · KAIST
  • Research Mentor — Cultural Sensitivity in Multimodal Language and Diffusion Models · KAIST
  • Research Mentor — The Many Voices of ChatGPT: Exploring Language Diversity · KAIST
  • Research Mentor — ChatGPT Voices · KAIST

Skills

AI Systems & HPC:
Distributed Training (DDP / FSDP), Large-Scale Model Optimization (SPMD), TPU / XLA Performance Engineering, Low-level GPU Programming (Triton, CUDA), HPC Cluster Management (Slurm), High-Throughput Networking (RDMA)
AI / ML Development:
PyTorch, JAX, Hugging Face (Transformers, Accelerate), Weights & Biases
Core Engineering:
Python, C++, Docker, LaTeX, Shell Scripting

BibTeX