Back
Avatar

Soheil
Fallahzadeh

Average Review
0.00
Reputation
23
Finished gigs
0
Finished jobs
0
Country
Not specified
Specialization
Computer Vision & Graph Algorithm Specialist
Hourly rate
$40/hr
Preferred payment options
Ethereum
ETH
USDT
USDC
About me
AI & Computer Vision Engineer | Graph Algorithms & Spanners Specialist I build robust, high-performance AI systems and data pipelines designed for real-world reliability. Backed by an M.Sc. in Computer Science (AI & Algorithms), I specialize in solving complex computer vision and large-scale graph optimization challenges. What I deliver: • Computer Vision & Deep Learning: Custom object detection, tracking, and video analysis (OpenCV, PyTorch, YOLO). • Graph Spanners & Optimization: Designing geometric t-spanners, delay-bounded routing, and network sparsification pipelines (achieved up to 42.5x speedups in benchmarks). • Python Engineering: Clean, production-ready backend scripts, data scrapers, and API integrations. • Rigorous Testing: Architectures tested for edge-case failure detection (>0.93 AUC reliability). 📌 Featured Case Study: https://soheylfalahzade.github.io/ Let's connect to build your next high-performance solution!

Work experience

Freelance / Independent Contractor
January 2023 – Current time
Job title
AI and Computer Vision Engineer
Work experience & achievements
Specialized in developing end-to-end computer vision systems, high-speed Python pipelines, and algorithmic optimizations for real-world applications. Key Achievements & Responsibilities: • Computer Vision & Deep Learning: Architected custom object detection and spatio-temporal video tracking models using PyTorch, OpenCV, and YOLO. • Perception Reliability: Engineered failure-prediction frameworks for camera sensor networks with verified diagnostic accuracy (>0.93 AUC). • Algorithmic Acceleration: Designed and benchmarked latency-critical graph algorithms (delay-bounded spanners), delivering up to 42.5x faster execution over standard baselines. • Robust Engineering: Built modular, PEP8-compliant Python pipelines, automated data scrapers, and reliable API workflows for complex data processing.

Education

Yazd University
Graduation year: 2026
Level of study
PhD
Major / Field of study
Computer Science - Algorithms & Theory of Computation
No gigs added yet