Linkedin Profile Audit

Source: linkedin-profile-audit.md (ingested 2026-03-28)

Here's your full LinkedIn profile audit as of now:

HEADER

Name: Meshal Alawein
Headline: Founder, Morphism | Building the control plane for trustworthy AI-assisted engineering
Location: Berkeley, California, United States
Current: Morphism Systems · University of California, Berkeley
Connections: 500+
No PhD suffix ✅

ABOUT Paragraph about building Morphism — the control plane for trustworthy AI-assisted engineering. Covers what Morphism does (workflow control for AI-assisted changes), how it works (CLI → MCP server → CI checks → dashboard), and who it's for (engineering leaders, platform teams). Reasonably clean and founder-forward.

EXPERIENCE (in current order)

Founder — Morphism Systems · Full-time · Aug 2025 – Present · 8 mos · San Francisco Bay Area
AI Research Engineer — Turing · Full-time · Aug 2025 – Sep 2025 · 2 mos
Computational Scientist — Berkeley Lab · Full-time · Aug 2022 – May 2025 · 2 yrs 10 mos · Berkeley, CA, US
Graduate Researcher — University of California, Berkeley · Full-time · Aug 2019 – May 2025 · 5 yrs 10 mos · Berkeley, CA
Spintronics Research Intern — MINATEC · Internship · Jun 2019 – Aug 2019 · 3 mos · Grenoble, France
KAUST (grouped, Full-time, 4 yrs 11 mos):
- Lead Lab Engineer · Apr 2016 – Jun 2019 · 3 yrs 3 mos
- Research Fellow · Apr 2016 – Jun 2019 · 3 yrs 3 mos · Thuwal, Makkah, Saudi Arabia
- Teaching Fellow · Aug 2014 – Jun 2019 · 4 yrs 11 mos · Thuwal, Saudi Arabia
- Graduate Research Scientist · Aug 2014 – Apr 2016 · 1 yr 9 mos · Thuwal, Saudi Arabia
AMO Engineer Intern — Baker Hughes, a GE company · Internship · Jun 2014 – Aug 2014 · 3 mos · Dammam, Saudi Arabia
Teaching Assistant — King Fahd University of Petroleum & Minerals - KFUPM · Part-time · Feb 2012 – Aug 2014 · 2 yrs 7 mos · Dhahran, Eastern, Saudi Arabia

All entries: no descriptions, no skills tags ✅

EDUCATION

University of California, Berkeley — PhD, Electrical Engineering and Computer Sciences · 2019 – 2025
KAUST — MS, Electrical Engineering · 2014 – 2016
King Fahd University of Petroleum & Minerals — BS, Electrical Engineering & Mathematics · 2009 – 2014

No descriptions, clean ✅

SKILLS (current order, all 48):

Applied Machine Learning
High Performance Computing (HPC)
Natural Language Processing (NLP)
Reinforcement Learning
CUDA
SciPy
NumPy
LaTeX
Computer Vision
FastAPI
Git
Amazon Web Services (AWS)
Kubernetes
Docker
JavaScript
Pandas (Software)
MLflow
Scikit-Learn
Quantum Computing
Large Language Models (LLM)
Neural Networks
Artificial Intelligence (AI)
Deep Learning
TypeScript
Node.js
C++
TensorFlow
PyTorch
Quantum Materials
Computational Materials Science
Materials Modeling
High-Performance Computing (duplicate?)
Machine Learning
Computational Physics
Quantum Mechanics
Scientific Computing
Data Analysis
Research Leadership
MATLAB
Electronic Structure Theory
SLURM
VASP
2D Materials
Strain Engineering
Density Functional Theory (DFT)
Python (Programming Language)
React.js
Materials Science
SIESTA

HONORS & AWARDS (4 entries, all descriptions removed ✅)

SACM Elite Student Scholarship — Issued by SACM · Aug 2019 · Associated with UC Berkeley
Judge's Choice Award & People's Choice Award – Innovation Competition — Issued by Middle East Electricity (Informa Exhibitions) · Feb 2019 · Associated with KAUST
Teaching Excellence Recognition — Issued by EE Dept, KAUST · Aug 2015 · Associated with KAUST
KAUST Graduate Fellowship — Issued by KAUST · Aug 2014 · Associated with KAUST

PUBLICATIONS (3 entries, all descriptions removed ✅)

Strain-induced lateral heterostructures... — Physical Review Materials · Feb 25, 2025
Multistate Nanomagnetic Logic Using Equilateral Permalloy Triangles — IEEE Magnetics Letters · Feb 15, 2019
Circuit models for spintronic devices subject to electric and magnetic fields — IEEE Journal on Exploratory Solid-State Computational Devices and Circuits · Oct 29, 2018

PROJECTS (6 entries — some have descriptions, some have GitHub-linked media):

SimCore – Interactive Physics Education Platform · Feb 2025 – Present (has linked media)
REPZ – AI-Driven Health & Fitness Coaching Platform · Jan 2025 – Present (has linked media)
QMatSim – Multiscale Atomic Simulations Framework (LAMMPS, SIESTA) · Aug 2022 – Present · Associated with UC Berkeley (has description + linked media)
SciComp – Cross-Platform Scientific Computing Suite (Python/MATLAB/Mathematica) · Aug 2022 – Present · Associated with UC Berkeley (has description + linked media)
Emergent Quantum Phenomena – Strained 2D Materials · Aug 2022 – May 2025 · Associated with Berkeley Lab (no description visible)
MagLogic – Nanomagnetic Logic Simulation Suite (Python/OOMMF/MuMax3) · Mar 2016 – Apr 2018 · Associated with KAUST (has description + linked media)
SpinCirc – Advanced Spin Transport Circuit Framework (Python/MATLAB/Verilog-A) · Jan 2016 – Apr 2017 · Associated with KAUST (has description + linked media)

LANGUAGES: Arabic, English

ORGANIZATIONS: American Physical Society (APS), IEEE

KEY ISSUES / NEXT STEPS:

Skills (biggest issue): You have ~49 skills and the order is messy. AI and LLMs are buried at positions 20–22 instead of at the top. There are ~20 academic/materials-science skills (Quantum Materials, VASP, SLURM, DFT, 2D Materials, SIESTA, etc.) that don't align with your current founder/AI identity. There's also a duplicate — HPC appears twice (#2 and #32). Python is at position 46, which is absurd. Previous recommendation was to remove ~20 niche skills and reorder top 5 to: AI → LLMs → Applied ML → Python → AWS/Kubernetes.

Projects: QMatSim, SciComp, MagLogic, and SpinCirc still have descriptions (not clean/minimal). The older academic projects (MagLogic, SpinCirc, QMatSim, SciComp, Emergent Quantum Phenomena) are all materials-science focused and don't align with your current AI/founder narrative. You mentioned wanting to add GitHub showcase projects instead.

Activity: Currently all reposts, no original content. You flagged this for "later."

Featured: Empty. Flagged for "later."

Where do you want to go from here — skills cleanup first?