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Skills

I build GenAI systems end to end: retrieval, agents and evaluation at the top, distributed data processing underneath, and enough systems depth to keep both running in production.

Most of that work happens in Python and Rust on AWS — Bedrock, Textract and Batch on one side, Kafka, Spark and Postgres on the other.

Capabilities

  • 01
    • Large Language Models (LLMs)
    • Retrieval-Augmented Generation (RAG)
    • Embeddings
    • Vector Databases
    • Multi-Agent Systems
    • LangChain
    • LangGraph
    • LiteLLM
  • 02
    • Amazon Bedrock
    • Textract
    • S3
    • ECS
    • AWS Batch
    • SQS
    • Lambda
    • ElastiCache
    • EMR
  • 03
    • ETL & Ingestion Pipelines
    • Distributed Processing
    • Apache Kafka
    • Apache Spark
    • Batch Inference
    • Data Modeling
  • 04
    • Python
    • Rust
    • JavaScript
    • Java
    • SQL
    • C++
  • 05
    • FastAPI
    • Node.js
    • Express.js
    • Spring Boot
    • Actix Web
    • REST APIs
    • React
    • Next.js
    • Redux
  • 06
    • PostgreSQL
    • MongoDB
    • Redis
    • Qdrant
    • Firebase
    • Docker
    • CI/CD
    • Git
    • PyO3
    • WebAssembly
Vector Search
Multi-Agent
Batch Inference
Structure-Aware Chunking
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