Mohammad Pivezhandi pivezhan

Hi there, I'm Mohammad Pivezhandi 👋

Ph.D. Candidate in Computer Science | Wayne State University

AI-guided energy-, thermal-, and performance-aware scheduling for heterogeneous multicore and embedded systems

🎯 About Me

I'm a Ph.D. candidate in Computer Science at Wayne State University, specializing in:

🧠 AI-Driven System Optimization: Energy-, thermal-, and performance-aware scheduling
🖥️ Heterogeneous Computing: ARM, x86, Jetson platforms
🚀 Embedded Systems: Real-time scheduling and resource management
🤖 Machine Learning & LLMs: Generative AI, RAG systems, fine-tuning
💻 GPU Programming: CUDA optimization and parallel computing

Currently preparing for system engineering, ML engineering, GPU engineering, and solutions architect roles at leading tech companies.

📊 GitHub Stats

🗂️ Repository Portfolio

🎓 Major Learning Repositories

🤖 Generative AI & LLMs

Comprehensive Gen AI Journey

✅ 3 Major Certifications (AWS, IBM, DeepLearning.AI)
✅ 16-Course IBM Specialization
✅ LangChain Mastery & RAG Systems
✅ Fine-tuning, PEFT, LoRA, RLHF
✅ Production-ready implementations

Key Projects:

📝 Dialogue Summarization (FLAN-T5)
🔧 Model Fine-tuning Pipeline (AWS SageMaker)
✨ RLHF Detoxification Model
🤖 RAG-Powered QA System
🎙️ Voice Assistant with Whisper
🌐 Universal Language Translator

→ Explore Repository

🎯 Interview Preparation

Structured Technical Interview Prep

✅ 150+ LeetCode Problems
✅ GPU/CUDA Programming
✅ System Design Patterns
✅ ML/DL Implementations
✅ 4 Industry Certifications

Coverage:

📊 Data Structures & Algorithms
🚀 CUDA & GPU Optimization
🐍 Python Standard Library
🤖 PyTorch & NumPy
💻 C++ & STL

→ Explore Repository

📈 Data Science Specialization

Johns Hopkins University Program

✅ 9-Course Specialization Complete
✅ 6 Certificates Earned
✅ R Programming Mastery
✅ Statistical Inference
✅ Machine Learning with Caret

Courses Completed:

Data Scientist's Toolbox
R Programming
Getting & Cleaning Data
Exploratory Data Analysis
Reproducible Research
Statistical Inference
Regression Models
Practical Machine Learning
Developing Data Products

→ Explore Repository

🌐 Personal Website

Professional Portfolio & Research

📄 Publications & Research Papers
🎓 Teaching Experience
🏆 Projects & Achievements
🎨 Hobbies & Interests

Sections:

→ Visit Website

🏆 Certifications & Achievements

📜 Click to view all 20+ certifications

🎓 Software Engineering & Interview Prep

Certificate	Institution	Year	Link
🥇 Introduction to Software Engineering	IBM	2024	Verify
🥇 Algorithmic Toolbox	UC San Diego	2024	Verify
🥇 Java Programming: Solving Problems	Duke University	2024	Verify
🥇 Coding Interview Preparation	Meta	2024	Verify
🥇 Software Developer Career Guide	IBM	2024	Verify

🤖 Generative AI & Large Language Models

Certificate	Institution	Year	Link
🏆 Generative AI with Large Language Models	AWS + DeepLearning.AI	2024	Verify
🏆 LangChain for LLM Application Development	DeepLearning.AI	2024	Course
🏆 Generative AI: Elevate Software Development	IBM	2024	Verify

🌐 Cloud & Python

Certificate	Institution	Year	Link
☁️ Introduction to Cloud Computing	IBM	2024	Verify
🐍 Python for Data Science, AI & Development	IBM	2024	Course

📊 Data Science Specialization (Johns Hopkins University)

Certificate	Score	Year	Link
📈 The Data Scientist's Toolbox	99.3%	2015	View PDF
💻 R Programming	100.0%	2015	View PDF
🧹 Getting and Cleaning Data	98.0%	2015	View PDF
📊 Statistical Inference	100.0%	2015	View PDF
📝 Reproducible Research	97.1%	2015	View PDF
📉 Regression Models	91.7%	2015	-
🔍 Exploratory Data Analysis	96.7%	2015	-
🤖 Practical Machine Learning	100.0%	2015	View PDF
🌐 Developing Data Products	96.9%	2015	-

🎯 Advanced Specializations

Specialization	Institution	Status	Link
📚 Data Structures and Algorithms	UC San Diego	In Progress	Specialization
🧠 Deep Learning	Stanford/DeepLearning.AI	In Progress	Specialization
📊 Data Science	Johns Hopkins	Completed	Specialization
🤖 Machine Learning	Stanford	Completed	Course

💼 Technical Skills

Programming Languages

AI/ML Frameworks

Cloud & Tools

Databases & Big Data

📈 Interview Preparation Progress

🎯 Problem Solving Stats

Platform	Problems Solved	Difficulty Distribution	Profile
LeetCode	150+	🟢 45 Easy \| 🟡 82 Medium \| 🔴 23 Hard	View Profile
HackerRank	75+	Python, Data Structures, Algorithms	View Profile
Project Euler	30+	Mathematical Problems	View Profile

📊 Topics Mastered

Arrays & Strings          ████████████████████ 100%
Hash Tables              ████████████████████ 100%
Linked Lists             ████████████████████ 100%
Trees & Graphs           ███████████████████░  95%
Dynamic Programming      ██████████████████░░  90%
Binary Search            ████████████████████ 100%
Sorting & Searching      ████████████████████ 100%
GPU/CUDA Programming     ████████████████░░░░  80%
System Design            ███████████░░░░░░░░░  55%

🎯 Current Focus (Updated Weekly)

🔄 Advanced Dynamic Programming patterns
🔄 System Design case studies
🔄 CUDA Optimization techniques
🔄 LLM Deployment strategies
🔄 Distributed Systems concepts

🚀 Featured Projects

🤖 Generative AI Projects

📝 Dialogue Summarization System

Technology: FLAN-T5, Transformers
Features: Zero/few-shot prompting
Metrics: ROUGE score optimization
Location: Generative-AI/Generative_AI_LLMs_AWS/week 1/

🔧 Model Fine-Tuning Pipeline

Technology: AWS SageMaker, LoRA, PEFT
Features: Parameter-efficient fine-tuning
Results: 40% compute reduction
Location: Generative-AI/Generative_AI_LLMs_AWS/week 2/

✨ RLHF Detoxification Model

Technology: PPO, Reward Modeling
Features: Human feedback alignment
Results: 85% toxicity reduction
Location: Generative-AI/Generative_AI_LLMs_AWS/week 3/

🤖 RAG-Powered QA System

Technology: LangChain, Chroma, OpenAI
Features: Multi-doc retrieval, memory
Scale: 1000+ documents
Location: Generative-AI/LangChain-for-LLM-Application-Development/

💻 System Programming Projects

🚀 GPU Matrix Multiplication

Language: CUDA C++
Optimization: Shared memory, tiling
Performance: 10x speedup
Location: interview_prep/CodingInterviewPreparation/GPU/

⚡ Energy-Aware Scheduler

Technology: C++, ARM, Linux
Features: DVFS, thermal management
Results: 30% energy savings
Status: Research project

📚 Learning Journey Timeline

gantt
    title My Technical Journey
    dateFormat YYYY-MM
    section Education
    Ph.D. Computer Science       :2020-09, 2025-05
    
    section Certifications
    Data Science (JHU)            :2015-01, 2015-12
    Algorithmic Toolbox           :2024-03, 2024-06
    Generative AI (AWS)           :2024-06, 2024-08
    IBM Gen AI Specialization     :2024-08, 2024-11
    
    section Interview Prep
    LeetCode Practice             :2024-09, 2025-03
    System Design Study           :2024-10, 2025-02
    CUDA/GPU Programming          :2024-11, 2025-01

📊 Weekly Activity

Python       12 hrs 45 mins  ████████████░░░░░░░░░   48.2%
C++           6 hrs 30 mins  ██████░░░░░░░░░░░░░░░   24.6%
CUDA          4 hrs 15 mins  ████░░░░░░░░░░░░░░░░░   16.1%
R             2 hrs  0 mins  ██░░░░░░░░░░░░░░░░░░░    7.6%
Markdown      1 hr  0 mins   █░░░░░░░░░░░░░░░░░░░░    3.5%

📞 Connect With Me

📖 Recent Blog Posts

💡 Fun Facts

🎯 Solved 150+ LeetCode problems across all difficulty levels
🚀 Built 7 end-to-end Generative AI applications
📚 Completed 20+ technical certifications from top institutions
🔬 Published research on energy-aware scheduling for embedded systems
🎓 Mentored 50+ students in data structures and algorithms
💻 Contributed to open-source projects in ML and systems
🌍 Multilingual: English, Farsi, and learning Spanish

🎯 2025 Goals

Complete Ph.D. dissertation on AI-guided system optimization
Publish 2+ papers in top-tier conferences (DAC, ICCAD, DATE)
Land a role at FAANG/top tech company
Solve 300+ LeetCode problems
Build and deploy 3 production LLM applications
Contribute to 5+ open-source AI/ML projects
Write 12 technical blog posts
Complete Deep Learning Specialization

📈 Contribution Graph

💬 "The best way to predict the future is to invent it." - Alan Kay

⭐ Star my repositories if you find them helpful!

Open to collaborations, research opportunities, and full-time positions 🚀

Last Updated: November 19, 2025

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Mohammad Pivezhandi pivezhan

Achievements

Achievements

Hi there, I'm Mohammad Pivezhandi 👋

🎯 About Me

📊 GitHub Stats

🗂️ Repository Portfolio

🎓 Major Learning Repositories

🤖 Generative AI & LLMs

🎯 Interview Preparation

📈 Data Science Specialization

🌐 Personal Website

🏆 Certifications & Achievements

🎓 Software Engineering & Interview Prep

🤖 Generative AI & Large Language Models

🌐 Cloud & Python

📊 Data Science Specialization (Johns Hopkins University)

🎯 Advanced Specializations

💼 Technical Skills

Programming Languages

AI/ML Frameworks

Cloud & Tools

Databases & Big Data

📈 Interview Preparation Progress

🎯 Problem Solving Stats

📊 Topics Mastered

🎯 Current Focus (Updated Weekly)

🚀 Featured Projects

🤖 Generative AI Projects

💻 System Programming Projects

📚 Learning Journey Timeline

📊 Weekly Activity

📞 Connect With Me

📖 Recent Blog Posts

💡 Fun Facts

🎯 2025 Goals

📈 Contribution Graph

💬 "The best way to predict the future is to invent it." - Alan Kay

⭐ Star my repositories if you find them helpful!

How This Profile Works

Keeping It Updated

Customization Tips

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