Software Engineer
Software engineer. I build AI powered infrastructure, data pipelines, and agentic workflows that actually ship.
Production RAG engines. MCP agent tooling. Multi model LLM orchestration. Concurrent systems built to handle real data at real scale.
About
I'm a software engineer. Backend architecture, AI systems, cloud automation. I write Python pipelines, vector retrieval systems, and API integrations that take messy operational work and turn it into software you can run on a schedule and trust.
Featured Projects
View all 20 →AI Driven Issue Tracking and Analytics Pipeline
An eight stage AI pipeline. It maps FedRAMP 20x controls to a client's actual tech stack, finds the gaps against live Vanta test data, writes the remediation plan, and uploads the whole Epic, Task, and Subtask hierarchy to Jira.
- →Ran 3 control families (KSI with 56 controls, ADS with 20, CCM with 3) through the full pipeline end to end
- →Generated 582 Jira tickets (Epics, Tasks, Subtasks) across every family with proper hierarchy and audit ready descriptions
- →Compressed the control to ticket lifecycle from weeks of manual analysis down to a single pipeline run per family
- →Every AI call is logged with the prompt sent and the response received. Full audit trail for compliance review.
System Architecture & Design
A high level architecture diagram of the compliance automation platform. Orchestration layer, DI, strategy based backend execution, logic pipelines, adapter protocols, and external provider integrations, all laid out.
- →Clean separation between orchestration, logic, and infrastructure layers
- →15 plus compliance workflows share the same pipelines, services, and config
- →External provider integrations are fully decoupled through adapter protocols and lazy init
Cloud Data Normalization Pipeline
A data pipeline that takes raw cloud inventory exports and Tenable scan data and turns it into a FedRAMP Appendix M workbook you can actually submit.
- →Killed the manual reconciliation work across every asset category
- →Produces submission ready Appendix M workbooks straight from the raw exports
- →Turned a tedious compliance reporting task into a repeatable workflow
Jira MCP Server for AI Agent Workflows
An MCP server that exposes Jira operations as tools the LLM can actually call. Search issues, create them, update them, transition them, drop comments. Not just suggest what to do. Do it.
- →Agents hit Jira directly instead of writing output someone has to copy and paste
- →Analysis workflows flow straight into tracked remediation work
- →Proved out a real world use case for MCP agent tooling beyond demos
Vanta Compliance Gap Analyzer
Integration with Vanta's GraphQL API. It fetches, paginates, categorizes, and structures compliance test failures into one clean dataset remediation planning can work off of.
- →Turned a paginated, unstructured API feed into a single clean, categorized dataset
- →Retired the manual UI scraping anyone used to do just to find open compliance gaps
- →Output is an analysis ready artifact that downstream pipelines and reporting tools consume directly
Production RAG Infrastructure on AWS
A reusable retrieval layer running on AWS OpenSearch and Amazon Bedrock embeddings. It grounds every downstream LLM pipeline in the actual documentation of the system it's answering about.
- →Grounded retrieval across every AI workflow that plugs in
- →One retrieval layer to maintain instead of one per pipeline
- →Every generated output now backs itself with semantic search results, which made the whole thing far more reliable
More Projects
View all 20 →AI Driven NIST 800-53 Component Mapping Engine
Maps control parts to the cloud services that implement them, using a multi stage LLM workflow with extraction and triage passes.
AI Powered AWS Audit Evidence Command Generator
Generates and validates read only AWS CLI commands for gathering evidence against NIST 800-53 control parts.
Google Docs Feedback Loop System
Closed loop refinement system. Polls Google Doc comments via the Docs API, classifies relevance with GPT, generates refined replacements, and validates the rewrites through a verification pass before applying batchUpdate edits. Client review becomes automated revisions.
FedRAMP Privacy Plan Generator
Generates FedRAMP Privacy Plan deliverables across the NIST 800-53 Rev5 Privacy baseline. It flattens nested compliance domains into tabular DataFrames with index based JSON enrichment (O(1) lookups by control ID) for moderate baseline cross references.
Supply Chain Risk Management (SCRM) Plan Generator
Two phase SCRM Plan generator with a dedicated OpenAI Assistant per domain. Hard constraint prompts ("Do NOT add, delete, reorder…") and vector store scoped retrieval grounding for FedRAMP Rev5 supply chain controls.
Incident Response Plan (IRP) Assistant
Three phase IRP generator built on OpenAI Assistants. Strict placeholder only fill, extractive QA with an explicit "Not found in the provided content" fallback, and a copy edit only second phase that enforces zero content changes.
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Tools
Contact
Looking to build AI powered systems that solve real operational problems. If that's the kind of work your team does, get in touch.