Backend &
GenAI Systems

associate.sh
$ kapil --status

analyst.py
$ kapil --history

intern.bin
$ kapil --origin

Impact Metrics

80% RAG Retrieval Precision

Increased precision from 40% via custom re-ranking for enterprise SOPs.

100% Data Freshness

Guaranteed via real-time delta-sync between SharePoint and AWS OpenSearch.

Async LLM Cost Optimization

Implemented LLM Guardrails and Pydantic validation to filter irrelevant queries.

Titan v2 Ingestion Latency

Optimized pipeline speed using custom semantic chunking logic.

-30% Manual Overhead

Automated Oracle reporting workflows via PL/SQL solutions.

15% Latency Reduction

Achieved via performance tuning on SQL query optimization.

Detailed Tech Stack

AI Infrastructure

AWS BedrockLangChain OpenSearchVector Databases

Backend Engine

PythonFastAPI DjangoMicroservices

Data & Cloud

PL/SQLAWS S3 DockerCI/CD Pipelines

Core Architectures

Enterprise RAG System

Architected an End-to-End RAG using FastAPI and AWS Bedrock for 100k+ documents.

  • → Multi-threaded Python ETL for delta-sync (SharePoint to AWS OpenSearch).
  • → Two-stage retrieval pipeline with Claude 3 Haiku re-ranking.

Hospital Management Backend

Developed a scalable hospital management backend implementing CRUD and relational modeling.

  • → Established RESTful API design standards for high-concurrency systems.