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parimal m

@parimalm

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Software Engineer II at Rapid7 who built a RAG pipeline that cut CIS compliance update effort by 90%.

India

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At Rapid7, I designed and built a production-grade RAG pipeline for automated CIS compliance analysis, reducing compliance update effort by 90%. I also strengthened security and compliance frameworks in InsightCloudSec.

At KOKO Networks, I built KOKO GPT, an agentic RAG chatbot that reduced internal knowledge lookup time by 70%, and worked on Python microservices, serverless workflows, and distributed notifications. Earlier, at K2V2 Technologies (sell.do), I built CRM workflows and shipped product features that reduced manual processing time by 30%.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer II

Current

Rapid7

May 2026 - Present (5 months)

Designed and built a production-grade RAG pipeline for automated CIS compliance analysis using Amazon Bedrock, OpenSearch, AWS Lambda, and S3. Mentored junior engineers and strengthened Cloud Security Posture Management across major cloud providers.

Amazon Bedrock OpenSearch AWS Lambda S3 Python AST RAG LLMOps Prompt Engineering CIS NIST HITRUST Cloud Security Jira

Fullstack Engineer

KOKO Networks

Sep 2023 - Jan 2026 (2 years 4 months)

Built KOKO GPT, an internal agentic RAG chatbot using LangGraph and ChatAnthropic, and scaled critical Python microservices ensuring 99.9% uptime. Designed CI/CD pipelines and architected distributed systems to improve performance and reduce operational costs.

LangGraph Lang Chain ChatAnthropic fastAPI Flask Django PostgreSQL MongoDB AWS Pinecone OpenAI Embeddings RabbitMQ Celery Jenkins Git AWS Lambda USSD Multithreading Query Optimization Unit Testing Integration Testing

Product Engineer

K2V2 Technologies

Jul 2022 - Sep 2023 (1 year 2 months)

Built CRM workflows automating Sales, Pre-Sales, and Post-Sales processes, improving team productivity by 25%. Engineered and shipped 10+ features including refund processing and real-time notifications, reducing manual processing time by 30%.