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Technology Stack
We use the latest AI/ML frameworks and APIs to build intelligent systems that automate decisions and create value.
PyTorch 2.5
Custom model training, research-to-production
LangChain
LLM application framework, chains, agents, RAG
OpenAI API
GPT-4o, embeddings, fine-tuning, assistants
Claude API
Long context, code generation, enterprise safety
Pinecone
Vector search, RAG retrieval, semantic similarity
Hugging Face
Open source models, model hub, inference
MLflow
Experiment tracking, model registry, deployment
LlamaIndex
Data ingestion, RAG pipelines, query engines
Where it fits
AI agents, document intelligence, predictions, recommendations
Built a RAG pipeline using LangChain, Pinecone, and Claude API that extracts insights from large volumes of legal and financial documents with high accuracy.
Trained and deployed a PyTorch 2.5 anomaly-detection model for a manufacturing client, significantly reducing unplanned downtime across a large fleet of production machines.
Deployed an LLM-powered support agent using OpenAI API and LlamaIndex for a SaaS company, autonomously resolving a large share of tickets and substantially cutting support costs.
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