Case Studies
Deep-Dive Technical Case Studies
Explore how I approach complex technical problems, make architectural decisions, and learn from real-world implementation challenges.
Problem-Solving Approach
Technical Decisions
Lessons Learned
👁️
Computer VisionReal-Time Object Detection
Building a Multi-Model Computer Vision System
How I built a real-time object detection system using YOLOv8 and TensorFlow.js, balancing accuracy, performance, and user experience across browser and server-side inference.
YOLOv8TensorFlow.jsFastAPIReactWebRTC
~30 FPS
Inference Speed
6.2 MB
Model Size
89% mAP
Accuracy
8 min read
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🤖
Machine LearningMulti-Model NLP Pipeline
Sentiment Analysis, NER, and Keyword Extraction
Designing and implementing a production-ready NLP pipeline that combines spaCy, DistilBERT, and TF-IDF for comprehensive text analysis with efficient caching and error handling.
spaCyDistilBERTTF-IDFRedisPostgreSQL
1000 docs/min
Throughput
85%
Cache Hit Rate
0.91
F1 Score
10 min read
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⚙️
Data EngineeringMulti-Source Data Pipeline
Automated Ingestion, Processing, and Monitoring
Building a scalable data pipeline that ingests from Reddit and News APIs, with automated scheduling, robust error handling, and comprehensive observability.
FastAPIPostgreSQLRedisAPSchedulerDocker
50K+
Daily Records
99.8%
Uptime
<200ms
API Latency
9 min read
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