Amin Ahangaran
Open to work8 years experienceSenior Machine Learning Engineer
Senior Machine Learning Engineer & Data Scientist | 8+ Years in Production ML Systems
Standing Rank
Rank Not Available
Developer Badges
Skills & Technologies
34 skillsGitHub Activity Evidence
GitHub Footprint Not Connected
Recruiters value verified code contributions. Linking a GitHub account displays live heatmaps, active contribution metrics, repository languages, and push activity tags.
Work Experience
Senior Machine Learning Engineer
Snapp
- Led end-to-end OCR & document understanding pipeline for Iranian ID/vehicle docs; slashed driver signup time by 80%. Built dashboards and error analysis workflows to sustain dataset quality.
- Led the architecture and redesign of the customer support platform into a scalable multi-agent architecture, enabling independent development, maintenance, and expansion across ticket categories; increased user satisfaction from 23% to 30%.
- Orchestrated real-time ML anomaly detection for ride-hailing metrics (97% historical detection rate) with Grafana alerting; cut rule-based alerts 38.3% and surfaced previously missed incidents to boost platform stability.
- Architected Kubernetes-based ML tooling suite for company-wide data science use: deployed Label Studio, CVAT, Langfuse, ChromaDB, and MLflow for labeling, LLM tracing/observability, semantic vector search, experiment tracking, and reproducibility. Accelerated experiment cycles by 40% and increased concurrent annotation capacity 5x.
Senior Data Scientist
Saba Tamin Management Services
- Engineered financial analysis platform for stocks/bonds; fused web scraping, ETL, APIs, and correlation models — accelerated analysis speed by 78% (equivalent to 78% time savings) and enabled data-driven diversification/risk strategies.
- Optimized real-time pipelines and database for IFB bond data via Rayan API; delivered sub-second queries, accurate portfolio/risk analytics, and streamlined regulatory compliance.
Machine Learning Engineer
Tosan Techno
- Designed NLP-powered banking chatbot; raised intent classification accuracy 9%, shortened resolution time 35%, and lowered agent escalations 25% via advanced dialogue and entity handling.
- Collaborated cross-functionally on production-grade CI/CD for ML models; guaranteed compliance, high availability, and near-zero downtime — eliminated 90% of deployment failures and boosted iteration speed by 40%.
Machine Learning Engineer
Rahkar Sarzamin Houshmand
- Spearheaded computer vision system for Telegram trend image detection/ranking; improved viral content accuracy 25% and enabled timely analytics.
- Constructed scalable scraper for 30+ Persian news sources (articles, headlines, metadata); used AI to minimize manual analysis workload by 90% and provide clean, reliable input for NLP pipelines.
- Fine-tuned OCR pipeline for Persian/English text in social media images/thumbnails; achieved 85% extraction accuracy and 70% higher search relevance — enabling keyword-driven news image retrieval with extracted text in user results.
Projects
Projects Not Populated
Personal applications, open-source work, and code repos will show here.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
OCR Pipeline Optimization
Led end-to-end OCR & document understanding pipeline for Iranian ID/vehicle docs; slashed driver signup time by 80%.
Customer Support Platform Redesign
Increased customer support user satisfaction from 23% to 30% via multi-agent architecture redesign.
Real-time Anomaly Detection
Orchestrated real-time ML anomaly detection for ride-hailing metrics with 97% historical detection rate.
Financial Analysis Platform Engineering
Accelerated financial analysis speed by 78% for stocks/bonds platform.
Banking Chatbot Development
Raised banking chatbot intent classification accuracy 9% and shortened resolution time 35%.
About Details
Professional Bio
Senior Machine Learning Engineer with 8+ years of experience in production ML systems. Specialized in computer vision, LLMs, RAG, and anomaly detection. Proven track record of scaling high-impact ML solutions to improve accuracy, reduce latency, and enhance user experience.
M.Sc. in Artificial Intelligence
K.N. Toosi University of Technology (2015 - 2018)
B.Sc. in Computer Engineering
Kermanshah University of Technology (2011 - 2015)