Designs and ships production AI systems — multi-agent orchestration, RAG, LLMOps, GenAI. Backed by 13+ years of full-stack enterprise delivery.
from business requirements to production-ready systems — inputs flow through designed components into shipped systems. ● marks the active stage.
apps shipped and in progress — work that earns trust before the resume does
● livePersonal RAG chat assistant for documents
A Streamlit chat app that lets you upload PDF and Word documents, builds a FAISS vector index with HuggingFace embeddings, and answers questions using an Ollama LLM with retrieval-augmented generation.
who I am, in three paragraphs
AI Architect and full-stack solution leader with 13+ years designing and delivering scalable enterprise applications and AI-ready platforms. Hands-on across GenAI/LLMs, RAG, prompt engineering, LLMOps, embeddings, vector databases, Python, AWS, and GCP — with deep delivery credibility in React, Node.js, and the MERN stack.
I translate business needs into production AI systems: multi-agent orchestration platforms, RAG pipelines, guardrailed LLM apps, and the LLMOps around them. I lead cross-functional teams, mentor engineers, and own outcomes end-to-end — from solution architecture through deployment and measurable impact.
Currently focused on agentic systems, LLMOps, and shipping products that combine AI with practical engineering.
engineering capabilities — what I work with
13+ years, reverse-chronological — what I shipped, where
three featured systems — problem, stack, outcome
Multi-agent orchestration platform
Enterprise teams were paying per-seat for individual AI tools (Cursor, Claude) without a way to reuse agent work across projects or enforce shared guardrails.
Architected SAW as a reusable agent workforce — turning one-off AI tool usage into standardized, governed agent pipelines that enterprise teams could compose across workflows.
Agent pipelines wired into dev workflows
Development coordination across JIRA, GitHub, and agent pipelines was manual — context was lost between steps and agent runs couldn't be standardized.
Designed and launched SEAP, integrating JIRA and GitHub with reusable agent pipelines to standardize development workflows end-to-end.
Enterprise Slack integrations at scale
Two large enterprise accounts needed recurring workflows automated inside Slack without breaking their existing security and compliance posture.
Led custom Slack app development and Slack API integrations for Verizon and AWS, automating recurring workflows and improving collaboration across both accounts.
education and AI certifications — recent investment in the AI pivot
measurable outcomes — verifiable from the work above
Every number above is drawn directly from the work where it was delivered. Source projects and positions are listed in deployments and case studies.