Work That Speaks for Itself
Real projects. Real results. Shipped by vetted crafters using AI tools — without cutting corners.
Fintech / Compliance
AI FeaturesThe Challenge
Legal team manually reviewing compliance documents for deal closure — taking 6+ hours per deal, expensive, and prone to oversight.
The Approach
Built a RAG pipeline with LlamaIndex that ingests regulatory docs, vectorizes them, and retrieves context on-demand for an LLM to answer compliance questions in seconds.
The Result
93% time savings per deal. What took 6 hours now takes 25 minutes. System handles 150+ documents without retraining.
93%
time saved
6h → 25m
per deal
150+
docs indexed
E-commerce / Retail
Data ProductThe Challenge
Recommendation engine using basic LLM calls couldn't scale past 1,000 users and was burning $50K/month on API costs.
The Approach
Redesigned with two-tower architecture (user embeddings + item embeddings), added real-time feature engineering with Kafka, and optimized with approximate nearest neighbor search.
The Result
Now serves 500K users with <100ms latency and 78% cost reduction. System generates $2M+ in incremental annual revenue.
500K
users
<100ms
latency
78%
cost reduction
Manufacturing / QA
AI FeaturesThe Challenge
Manual quality inspection catching only 78% of defects; inspectors working 8-hour shifts with fatigue-induced misses. No 24/7 coverage.
The Approach
Fine-tuned YOLOv8 on 5,000 product images with 12 defect types. Deployed on edge (Nvidia Jetson) for real-time inference. Integrated with factory line sensors and alert system.
The Result
97.3% accuracy, 24/7 monitoring, zero downtime integration. Reduced scrap rate by 34%, preventing $400K+ annual losses.
97.3%
accuracy
24/7
monitoring
$400K+
prevented loss
Stop Choosing Between Speed and Quality
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