Build.
Blank page to production
I turn ambitious ideas into working systems across product, platform, and infrastructure.
I build AI systems that survive contact with production—
governed, observable, and made to scale.
I’m at my best where ambitious AI ideas meet real-world constraints—and where clear thinking matters as much as clean code.
Build.
Blank page to production
I turn ambitious ideas into working systems across product, platform, and infrastructure.
Think.
Systems over features
I connect models, software, teams, and failure modes before they become surprises.
Prove.
Evidence before confidence
I test assumptions, review claims, and make quality visible and measurable.
Finish.
The last mile matters
I care about the unglamorous details: reliability, clarity, adoption, and what happens after launch.
I work where orchestration, retrieval, evaluation, safety, and infrastructure meet—turning brittle prototypes into platforms teams can trust.
Three independent builds. Each one designed around evidence, guardrails, and real-world failure modes.
Autonomous adversarial research with evidence-gated experiments, deterministic replay, and immutable leaderboard receipts.
A real-time voice agent for caller triage and live attorney transfer, with signed webhooks and policy-bounded tools.
An embodied multimodal memory agent that turns live audio and whiteboards into durable, queryable office memory.
From product foundations to governed agent platforms.
Feb 2025 — Present
Oracle / AI Agent Platform
Built a governed MCP/A2A platform, a LangGraph runtime for 20+ assistants, and automated release gates from code to Kubernetes.
Jul 2022 — Jan 2025
Oracle / Conversational AI
Built the platform behind 50K+ monthly conversations, a Preact SDK used by 18 applications, and an ingestion plane spanning 2.8M objects.
Apr 2021 — Sep 2021
Elsevier × Drexel University
Developed forecasting models that reduced error below 5% across seven product lines, outperforming manual planning baselines.
Apr 2020 — Sep 2020
Oracle / Product Engineering
Shipped four customer-facing React features and cut Electron startup time by 14% through performance profiling and optimization.
Apr 2019 — Sep 2019
Merck
Managed 500+ requirements for an enterprise Veeva CRM rollout and automated Salesforce/VBA reporting for cross-functional business teams.
I’m Haris, an applied AI engineer in San Francisco. For 4+ years I’ve built the infrastructure that moves AI from promising prototype to dependable product.
My range is deliberately broad: agent orchestration, enterprise retrieval, evaluation, safety, backend systems, frontend SDKs, and the operational layer connecting them.
Peer reviewer for NeurIPS 2026 and COLM 2026.
LangGraph, MCP, A2A, tool calling, OpenAI Realtime
RAG, Vector Search, reranking, embeddings, LLM evaluation
FastAPI, Java, Redis, Kubernetes, OCI, Docker, CI/CD
Guardrails, PII controls, observability, React, TypeScript
Let’s make something that lasts.
San Francisco, CA