Khawaja Abaid Ullah

THE STUDY WALL & DESK REGISTER // CURRICULUM VITAE

Khawaja Abaid Ullah — Research & Engineering Record

Ph.D. researcher in Electrical & Computer Engineering at RIT’s Khojasteh Autonomous Systems Laboratory (KAS Lab), U.S. Department of State Fulbright Scholar (4.0/4.0 GPA), former AWS AI/ML Software Development Engineer Intern in East Palo Alto, creator of Teras, and official contributor to Keras 3.

FRAMED STUDY WALL PORTRAITS // FLAGSHIP APPOINTMENTS

U.S. Fulbright Fellowship & Amazon Web Services (AWS)

Detailed records from the framed commendations hanging on the study wall: my graduate fellowship at RIT and AI/ML engineering internship in Silicon Valley.

Download Official CV (PDF)
WALL PORTRAIT I // U.S. DEPARTMENT OF STATE FULBRIGHT SCHOLARAUG 2024 – MAY 2026 · 4.0 GPA

M.S. in Artificial Intelligence · RIT (4.0 / 4.0 GPA)

Fulbright Foreign Student Scholarship · Rochester, NY

  • Full U.S. Department of State Fellowship: Selected through the flagship international academic exchange program to complete the M.S. in Artificial Intelligence at Rochester Institute of Technology, graduating with a perfect 4.0 / 4.0 GPA.
  • Master’s Thesis on Antidistillation: Authored and defended“Antidistillation Sampling for Classification”, developing closed-form confidence-margin bounds for inference-time model extraction defense.
  • Ph.D. Continuation & Undergraduate 1st Rank: Continued into a fully funded Ph.D. Graduate Research Assistantship in ECE at RIT’s KAS Lab (advised by Dr. Mohammad Javad Khojasteh); previously graduated1st in the Computer Science class of 2021 at the University of Narowal.
Master’s Thesis (RIT Repository) ↗ADS-C Research Plate →
WALL PORTRAIT II // AMAZON WEB SERVICES (AWS) · AI/ML★ FULL-TIME RETURN OFFER

Software Development Engineer, AI/ML Intern · AWS

May 2025 – Aug 2025 · East Palo Alto, California

  • Core Apache Spark Benchmarking Modules: Engineered coreApache Spark testing modules for a next-generation internal benchmarking platform at AWS in East Palo Alto, closing feature-parity gaps with its legacy predecessor across targeted benchmarking workflows.
  • Independent Scope Expansion & Return Offer: Exceeded the original project scope by independently identifying and implementing additional benchmarking capabilities, earning strong recognition from team leadership and a full-time return offer.
Explore Open-Source ML Engineering →View Full Resume (PDF) ↗

THE DESK REGISTER & INSTRUMENT CABINET

Experience, Education, Teaching & Technical Stack

Complete chronological record across research, industry, teaching, peer review, and open-source ML systems.

STUDY DESK REGISTER // INDUSTRY, RESEARCH & ACADEMIC RECORDVERIFIED CV

I. Research, Industry, Teaching & Academic Service

FULL GRA FELLOWSHIP

Graduate Research Assistant (Ph.D. in ECE)

Khojasteh Autonomous Systems Laboratory (KAS Lab) · RIT · Rochester, NY

  • Advised by Dr. Mohammad Javad Khojasteh (Expected Ph.D. graduation: May 2029).
  • Researching multi-agent coordination and decision-making for autonomous systems: dynamic resource allocation, multi-agent communication under constraints, and detection and containment of compromised agents toward autonomous disaster search-and-rescue robot teams.
  • Researching test-time antidistillation defenses to prevent unauthorized knowledge distillation of deployed machine learning models.
FULL-TIME RETURN OFFER

Software Development Engineer Intern, AI/ML

Amazon Web Services (AWS) · East Palo Alto, CA

  • Engineered core Apache Spark testing modules for a next-generation internal benchmarking platform, closing feature-parity gaps with its legacy predecessor across targeted benchmarking workflows.
  • Exceeded the original project scope by independently identifying and implementing additional benchmarking capabilities, earning strong recognition from team leadership and a full-time return offer.
ROS 1 / ROS 2 / DOCKER

Teaching Assistant — Principles of Robotics

Rochester Institute of Technology · Rochester, NY

  • Develop lecture and laboratory material for a combined undergraduate and graduate robotics course using ROS 1, ROS 2, and Arduino.
  • Designed and built the course’s ROS-based Docker containers and reproducible VM images, replacing a brittle third-party dependency across the full lab sequence.
PEER REVIEW

Manuscript Reviewer

IEEE Signal Processing Letters · Academic Service

  • Review manuscripts in machine learning, signal processing, and related areas for technical soundness, novelty, experimental methodology, and reproducibility.
DATA & ML PIPELINES

Junior Python Developer (Remote)

Comundo · Copenhagen, Denmark

  • Built semi-supervised web-scraping and data-curation pipelines for energy-consumption data; cleaned and aggregated outputs for CO2 estimation and downstream ML forecasting.

II. Academic Degrees & Distinctions

FULLY FUNDED GRA · KAS LAB

Ph.D. in Electrical and Computer Engineering

Rochester Institute of Technology · Rochester, NY

Fully funded Graduate Research Assistantship in the Khojasteh Autonomous Systems Laboratory, advised by Dr. Mohammad Javad Khojasteh.

U.S. FULBRIGHT SCHOLAR · 4.0 / 4.0 GPA

M.S. in Artificial Intelligence

Rochester Institute of Technology · Rochester, NY

GPA: 4.0 / 4.0. Fully funded by the U.S. Department of State Fulbright Scholarship. Master’s Thesis: “Antidistillation Sampling for Classification.”

Master’s Thesis (RIT Repository) ↗
RANKED 1ST IN CLASS OF 2021

B.S. in Computer Science

University of Narowal · Narowal, Pakistan

Graduated first (Valedictorian / 1st rank) in the Computer Science class of 2021.

STUDY INSTRUMENT CABINET // TECHNICAL STACKAPPARATUS

CAT. I // LANGUAGES

Systems & Programming Languages

PythonCC++Bash

CAT. II // DEEP LEARNING & ML

Machine Learning Frameworks & Engines

JAXFlax (Linen & NNX)Keras 3PyTorchTensorFlowRay RLlibPettingZooNumPyApache Spark

CAT. III // ROBOTICS & INFRASTRUCTURE

Robotics, Simulation & Systems Tooling

ROS 1ROS 2DockerLinuxGitArduino

CAT. IV // RESEARCH METHODS

Core Research Methodologies

Multi-Agent Reinforcement LearningMulti-Agent SystemsAntidistillation & Model Extraction DefenseKnowledge DistillationNeural Combinatorial OptimizationLLM-Assisted Optimization

FRAMED STUDY DISTINCTIONS

  • U.S. Fulbright Scholar (U.S. Department of State · 4.0/4.0 M.S. GPA)
  • AWS AI/ML Full-Time Return Offer (East Palo Alto · Summer 2025)
  • 1st in Computer Science Class of 2021 (University of Narowal)
  • Reviewer, IEEE Signal Processing Letters ·Kaggle Expert
ENGRAVED DESK PORTFOLIO // K. A. ULLAHDownload Full CV (PDF) ↗

Available for research collaboration in multi-agent autonomy, ML security, and open-source ML systems.

khawaja.abaid@gmail.com ↗Curriculum Vitae (PDF) ↗GitHub ↗LinkedIn ↗