San Francisco, CA

Jiten Oswal

AI Architect. Engg Leader. Founder. Angel Investor.

14+ years building AI & Data platforms at Salesforce, Softbank, Amazon, Matterport, Ava Labs and more. 6 US Patents. AI & System Architect. Engineering leader, published researcher on arXiv. Currently, building at the frontier of AI — infrastructure, products, and the people shaping it.

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What I Build

I build AI platforms and the infrastructure that powers them — from Salesforce Einstein's predictive intelligence engine to enterprise AI agent systems at growth and early-stage startups. AI Architect & Co-founder of Sapienly (AI for Legal, Healthcare & Voice). 6 US patents in system architecture and cloud infrastructure. Published researcher on arXiv and author of 55+ articles on AI systems. Building the future of AI infrastructure and mentoring the next generation of AI builders — always open to founders, engineers, and researchers pushing the boundaries of what's possible.

Patents

Companies

10+

Years Exp

14+

Articles

55+

INTELLECTUAL PROPERTY

Innovation & Patents

GOOGLE PATENTS PROFILE north_east 3 patents commercially licensed (2023)

US PATENT · 2019–2022

Systems & Methods for Optimal Cost-To-Serve in Public Cloud

Real-time cloud cost optimization framework for application development workflows.

Awarded description

US PATENT · 2019–2022

Real-Time Cost-To-Serve Metrics & Cost Attribution in Public Cloud

Mapping cloud spend to individual services and user transactions in real time.

Awarded description

US PATENT · 2019–2022

E2E Performance Simulation by Controlling Key Factors of Web Products

Controlling and measuring key factors affecting web product behavior at scale.

Awarded description

US PATENT · 2019–2022

Performance Simulation with Cost-Benefit Analysis & Multi-Iteration Support

Cost-benefit modeling across high-concurrency simulation cycles for E2E web products.

Awarded description

US PATENT · 2019–2022

Extending Performance Simulation to Any Platform via Metadata

Platform-agnostic simulation through metadata-driven configuration for any cloud or on-premise environment.

Awarded description

US PATENT · 2019–2022

Actionable Insights to Optimize E2E Web Product Performance

Automated optimization recommendations generated from end-to-end performance telemetry.

Awarded description

CAREER TRAJECTORY

Leadership Roles

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Aurite Inc. Series A

Founding AI Architect

AI Platform for Enterprise · CLI & Studio GUI · Open Source

PRESENT

AI Platform & Infrastructure

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Sapienly Inc. Co-Founder

Chief AI Engineer

AI for Legal Tech, Healthcare & Voice Agents

PAST

Data & AI Infrastructure

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Ava Labs Inc.Top 10 Startup by TVL

Engineering Leader / Engineering Manager IV

Data & API Platforms · Infrastructure

PAST

Data & System Infrastructure

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Matterport Inc. Pre to Post-IPO

Sr. Manager / Staff Engineer

Data & API Platform · System Integration · Data Insights

PAST

Enterprise System & Data Platform

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Softbank Corp.Fulltime

Technical Advisor

Tech Due Diligence · SaaS, Data, AI, IoT, Edge Computing, Satellite, Robotics

PAST

Growth & Early Stage Fund

cloud_done

Salesforce Inc. ~ 7 years

Tech Lead / Lead Engineer

Einstein AI Platform & Apps · Search Infra · Analytics · Sales Apps

PAST

Enterprise System & ML Platform

Also at Amazon · ExpressMango (Founding Engineer) · SunGard Global Services · Stanford Executive Program · MS Computer Science, San Jose State University

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USC Instructor

AI Agents & AI Copilots

AI Agents — Completed AI Copilots — Upcoming

RESEARCH & ACADEMIA

Scholarly Publications

school GOOGLE SCHOLAR article MEDIUM — 55+ ARTICLES rss_feed SAPIENLY BLOG

Thought Leadership

55+

published articles on AI Architecture, Infrastructure & Products

arXiv · Sept 2025 · QUANTUM-INSPIRED ML

HARLI CQUINN: Higher Adjusted Randomness with Linear In Complexity QUantum INspired Networks for K-Means

A quantum-inspired approach to K-Means clustering achieving linear complexity through higher adjusted randomness techniques.

arxiv.org/abs/2509.19395 north_east

arXiv · Dec 2025 · EQUIVARIANT NETWORKS

PERM EQ x GRAPH EQ: Equivariant Neural Networks for Quantum Molecular Learning

Permutation and graph equivariance in neural network architectures for quantum molecular property prediction.

arXiv:2512.05475 north_east

CONFERENCE · PyData Seattle · Nov 2025

Building Bazel Packages for AI/ML: SciPy, PyTorch, and Beyond

Technical talk on open-source AI/ML infrastructure — building reproducible, hermetic build packages for the scientific Python ecosystem.

cfp.pydata.org/seattle2025 north_east

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RECOGNITION

Judging & Ecosystem Contribution

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McGinnis Venture Competition

Judge · CMU Swartz Center of Entrepreneurship · 2026
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VC Nest Venu Hackathon

Judge · 2025
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USC Viterbi School of Engineering

Instructor · AI Agents Development & Using Coding Agents · Summer 2025
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AI Hack the Stack

Judge · GMI Cloud, Mountain View · 2025
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Skydeck Labs

Judge · AI Hackathon, Berkeley · 2024
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Stanford Web3 & AI Research Group

Judge, Speaker & Mentor · 2023–present
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Cal Hacks

Judge · World's Largest Collegiate Hackathon · 2022

FELLOWSHIPS, MEMBERSHIPS & MENTORSHIP

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DraperU Hero Accelerator – Deep Tech

EIR / Mentor · Draper Venture Fund · 2026–present
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MIT AI Club @ MIT

Member · 2025–present
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CMU Swartz Center for Entrepreneurship

Advisor & Mentor · 2025–present
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Stanford Web3 & AI Research Group

Judge, Mentor · 2023–present
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VC Fellow @ VC Lab

<10% acceptance rate · 2023
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Pi VC Fellow @ Pi Ventures

30 selected from thousands · 2020
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Climate Wisdom Fellowship

Select leadership program for climate & impact leaders · 2025–present
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Delta Analytics Fellow

25–35 selected from thousands · 2017