I build production-grade GenAI systems — not demos.

RAG, agents, and ML pipelines with grounding, evaluation, and deployment in mind.

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What I build

Three lanes. No role-shopping. Inspectable systems.

GenAI Systems

RAG pipelines, grounding + citations, agent orchestration, API-first design.

ML & Data Pipelines

Ingestion → ETL → indexing/training, batch workflows, cloud deployments.

Evaluation & Reliability

Offline eval, regression tests, latency awareness, fallbacks & failure modes.

Selected work

A few systems that show how I think, build, and ship.

See all projects →
GENAI • RAG

ROHbot — Portfolio RAG Assistant

LLM assistant that answers questions about my work using retrieval + grounded responses with sources.

CV • DIFFUSION

Sketch Studio — Sketch → Photorealistic Portraits

Stable Diffusion + ControlNet + BLIP pipeline to preserve structure and improve prompt adherence.

SECURITY • ML

Network Anomaly Detection

Traffic anomaly detection with classical + deep approaches (Isolation Forest, One-Class SVM, Autoencoder).

Technical writeups

Deep dives after you’ve seen the code.

Read on Medium →
AI • RAG

Building ROHbot

Retrieval, grounding, and how the system is structured.

DATA

From Zero to F1 Data

Pipelines, automation, and usable analytics.

Let’s build something real

I’m interested in roles where I can design and ship real ML and GenAI systems.

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