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Muhammad Essa

NUST · 2026
Email
muhammadessa5689@gmail.com
Phone
923489116629
LinkedIn
https://www.linkedin.com/in/ceo-muhammadessa
GitHub

Academic

Program
Electrical Engineering
CGPA
2.71
Year
2026
Education
SEECS
Address
Islamabad, Pakistan
DOB

Career

Current role
Target role
Skills
AI Tools & Automation, Prompt Engineering, AI-Assisted Web Development, Python Programming, AutoCAD, Quantitative Finance, Data Analysis, Algorithmic Strategies, Technical Analysis, Risk Management, Web 3, Crypto, Power Generation Systems

Verbatim text

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Muhammad Essa
Cell: 923489116629 |  Email: muhammadessa5689@gmail.com
LinkedIn: https://www.linkedin.com/in/ceo-muhammadessa
Address: HOUSE#1, 1ST AVENUE, SECTOR-A, DHA PHASE 1 , Islamabad , Pakistan
PROFESSIONAL PROFILE
AI-native Electrical Engineering graduate with hands-on experience in AI-assisted web development, Python programming, and
power generation systems through industry internship. Active day trader with strong interest in quantitative finance and data-driven
decision making. Skilled in leveraging modern AI tools, AutoCAD, and engineering fundamentals to build practical technical solutions
across software, finance, and engineering domains.
EDUCATION
Electrical Engineering
Seecs , Islamabad , 2.71 (4th)
INTERNSHIP EXPERIENCE
Pioneer Power Generation
01-Jun-2025 - 30-Jul-2025
Understanding the working of generators and power houses On site working on setting and syncing gensets Office work
FINAL YEAR PROJECT
Subscription based web 3 ecosystem
This project allows users to subscribe to services, pay for products using any crypto and it is converted into a single standardised
crypto currency that we have created and gets recieved by merchants. This allows standardization of crypto currency for this specific
tasks Users earn rewards for payments, invites, staking thus supporting the ecosystem. The main highlights of the project are 1.
Merchants can easily adopt crypto because it is only recieved in a single token 2. Users gets cashbacks rewards 3. Auto buying
within the ecosystem creates automatic demand 4. Automatic demands allow for more investors due to increased earning. 5. The
price fluctuates based on users and uses.
TECHNICAL EXPERTISE
AI Tools & Automation
Experienced in using AI systems to build websites, generate code, automate workflows, and accelerate development. Strong in
prompt engineering and integrating AI into practical projects.
AI-Assisted Web Development
Builds functional websites using AI-driven tools and platforms, focusing on rapid prototyping, design, and deployment.
Python Programming
I use Python for scripting, automation, and problem-solving, with growing focus on data analysis and computational tasks.
Aspiring Quantitative Finance Analyst
Actively learning quantitative finance concepts including financial markets, data analysis, and algorithmic strategies, with the goal of
building trading and investment models.
Day Trader / Stocks
Actively trades financial markets using technical analysis, market structure, and risk management strategies.

AI enrichment

Muhammad Essa is an Electrical Engineering graduate with a 2.71 CGPA and limited professional experience, including a brief internship in power generation. He possesses foundational skills in Python, AI-assisted web development, and quantitative finance, demonstrated through a final year project on a Web3 ecosystem.
Skills (AI)
["Python Programming", "AI-Assisted Web Development", "Prompt Engineering", "Quantitative Finance", "Day Trading", "AutoCAD", "Web3 Development", "Power Generation Systems"]
Status: ai_done
Provenance
Source file: SEECS - Electrical Engineering-2026.pdf
From job #259 page 84
Created: 1778168427