Zahra G.
Mid-Level AI and Blockchain Engineer
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Zahra G. is an experienced AI Engineer and Blockchain Developer, specializing in decentralized AI infrastructures and quantitative trading systems. With over four years of industry experience and an M.Sc. in Artificial Intelligence from the University of Tabriz, her work demonstrates profound expertise in Federated Learning and Topological Data Analysis. At Rayan Pajohan Mehr Pouya, Zahra successfully deployed a real-time sports pose-estimation pipeline on Raspberry Pi using YOLOv5-Lite and BlazePose, doubling athlete-analysis throughput. As a freelance blockchain engineer, she engineered a cross-chain NFT bridge, enabling decentralized AI inference pipelines across Ethereum and IOTA Tangle. She is adept in technologies such as Python, Solidity, and TensorFlow, showcasing her skills in model deployment and on-chain analytics. Zahra's contributions to quant and blockchain development have significantly improved financial strategies, demonstrated by a 35% increase in Sharpe ratio through optimized trading approaches. Her research and projects reflect her commitment to privacy-preserving blockchain solutions and innovative consensus protocols.
Experience
AI/ML Engineer
Rayan Pajohan Mehr Pouya · 2024 — 2025Deployed a real-time sports pose-estimation pipeline on Raspberry Pi 4 leveraging YOLOv5-Lite and BlazePose, resulting in improved athlete-analysis throughput. Applied super-resolution preprocessing using SRGAN to enhance accuracy for object-detection models. Reduced CNN model size through quantisation and structured pruning while ensuring production inference latency complied with SLAs. Developed an end-to-end ETL pipeline that integrated OHLCV data with on-chain metrics for Bitcoin market-regime detection.Blockchain & Decentralised AI Engineer
Freelance / Independent · 2021 — PresentConducted research and prototyping for the Proof-of-Learning (PoLe) consensus mechanism, which aggregates federated model performance metrics for trustless on-chain ML validation. Configured and operated full IOTA Tangle nodes to support federated learning with a reduction in data-transmission overhead. Created a cross-chain NFT bridge between Ethereum and IOTA Tangle using Solidity smart contracts. Developed an Arbitrum L2 wallet allowing for transaction support and optimization. Deployed production smart contracts for token ecosystems and governance on Ethereum and IOTA Shimmer.Quantitative Trader & On-Chain Analyst
Independent / Proprietary Trading · 2020 — PresentManaged a multi-asset portfolio consisting of TSE equities and cryptocurrencies, applying systematic decision frameworks. Integrated various trading indicators with on-chain signals to generate high-probability trade signals, validated through back-testing. Utilized topological indicators for early-warning signals that alerted major BTC drawdowns. Combined fundamental disclosures and macroeconomic data to enhance trade-thesis development for Iranian equity markets.
Skills & Expertise
Education
- Master of Science in Computer Science — Artificial IntelligenceUniversity of Tabriz · 2020 — 2025
- Bachelor of Science in Mathematics and ApplicationsUniversity of Tabriz · 2014 — 2020
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