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K MKM
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K M

@km07

I build production RAG platforms, document pipelines, and AI backend services in Python.

India
Message

What I'm looking for

I'm looking to build and deploy production AI systems, especially RAG applications, document-processing pipelines, backend services, and cloud-native platforms using Python and open-source technologies.

At State Street Corporation, I design and deploy production-grade Python Retrieval-Augmented Generation platforms that ingest content from PDFs, DOCX, TXT, CSV, SharePoint, Azure Blob Storage, and JIRA.

I build scalable document-processing and retrieval pipelines with Python, LangChain, PostgreSQL, and Kubernetes, enabling enterprise knowledge discovery across business teams. I've also developed REST APIs and backend services for AI applications and observability platforms, integrating Databricks for monitoring and reporting.

I deploy containerized applications on Azure Kubernetes Service and build document extraction workflows with Azure Document Intelligence, reducing manual financial-report review effort by an estimated 50–70%.

Experience

Work history, roles, and key accomplishments

State Street Corporation logoSC
Current

Machine Learning and AI - Senior Associate

Apr 2026 - Present (5 months)

Designed and deployed a production-grade Python-based RAG platform supporting multiple document formats and sources. Built scalable document-processing pipelines and REST APIs, and engineered document extraction workflows using Azure Document Intelligence, reducing manual review effort by an estimated 50-70%.

Education

Degrees, certifications, and relevant coursework

Sikkim Manipal Institute of Technology logoST

Sikkim Manipal Institute of Technology

Bachelor of Technology, Computer Science Engineering

2020 - 2024

Grade: 9.08 CGPA

Pursued a Bachelor of Technology in Computer Science Engineering, graduating with a CGPA of 9.08.

TA

Tashi Namgyal Academy

High School Diploma, Science

2018 - 2020

Grade: 90%

Completed 12th standard with a focus on Physics, Chemistry, Mathematics, and Computer Science, achieving 90%.

Tech stack

Software and tools used professionally

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