
Haris Ali
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Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Haris Ali
- 2 years and 2 months, Oct 2023 - Nov 2025
Full Stack Engineer
Unikrew Solutions
• Built AI-powered cheque digitization system processing 10K+ monthly transactions, achieving 94% accuracy using fine-tuned Tesseract OCR on 8K+ MICR images and YOLO-based computer vision model, reducing manual verification time by 85% • Architected offline-first health insurance platform with SQLite sync supporting 50K+ enrollments in low-connectivity regions, maintaining 99.7% data integrity • Designed RAG system using LangChain and Llama models for document Q&A across 100K+ financial documents
- 6 months, May 2023 - Oct 2023
Blockchain Developer
DS Legends
• Developed production-ready EVM smart contracts for token minting, staking, and governance with 40% gas optimization, enabling 10K+ users to interact seamlessly with Ethereum blockchain via Ether.js/Web3.js integration • Implemented comprehensive security testing using Hardhat framework, identifying and resolving 15+ critical vulnerabilities pre-deployment
- 8 months, Feb 2023 - Sep 2023
Software Engineer
Pluton
• Engineered NFT marketplace and DeFi platforms implementing ERC-721/ERC-1155 standards, facilitating $2M+ transaction volume with 35% gas cost optimization through efficient smart contract architecture
- 1 year, Mar 2022 - Feb 2023
Associate Software Engineer
DigEvol AI
• Full-Stack Development: Designed and maintained comprehensive web and mobile solutions, ensuring a cohesive user experience across platforms • MERN Stack Mastery: Leveraged deep expertise in MongoDB, Express, React, and Node.js to build scalable, high-performance web applications • React Native Proficiency: Developed robust cross-platform mobile apps, delivering a native-like user experience and efficient performance
Ausbildung von Haris Ali
- Current 9 months, since Oct 2025
Master of Science in Intelligent Interactive Systems
University of Bielefeld
- Current 14 years and 11 months, Jan 2019 - Nov 2033
Bachelor of Science in Software Engineering
University of Karachi
Sprachen
English
C1 (Fließend)
urdu
C2 (Verhandlungssicher / Muttersprachlich)
German
A1-A2 (Grundkenntnisse)
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