Muhammad Essa
NUST
· 2026
Email
muhammadessa5689@gmail.com
Phone
923489116629
GitHub
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Academic
Program
Electrical Engineering
CGPA
2.71
Year
2026
Education
SEECS
Address
Islamabad, Pakistan
DOB
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Career
Current role
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Target role
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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
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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.pdfFrom job #259 page 84
Created: 1778168427