Top Talent like Varsha are on Pangea

Pangea, a YC company, connects companies with fractional talent. Fractional hiring allows companies to move faster and work with more specialized talent, while giving talent more flexibility and independence. If you are talent open to fractional work, apply here. If you’re a company looking for high-quality fractional talent, learn more here.

Varsha Raghavan

Full-stack Engineer
Product Designer
Growth Marketing Manager
New York, NY, US
Product Development
Software Development
Design
React Native
Community Management
Client Management
HubSpot
Figma
R
Machine Learning
Next.js
Computer Science
Python
AI
Available for hire fromNegotiable
Product and AI engineer, technical leader, and VC-backed founder who loves building fast, talking to users, and running ops with AI.
Senior technical leader and AI engineer with a decade of hands-on ML and software engineering experience and a successful exit as a founder. Built and shipped production AI systems across life sciences, energy infrastructure, and B2B SaaS, and advised founders, executives, and investors on AI strategy, governance, and implementation. Published foundational ML research at ICLR and holds a B.S. in Computer Science from Yale focused on applied AI/ML, including a fellowship in AI governance and technology ethics from Yale Law School’s Information Society Project.

Projects

SystemMatch: Generative Latent-Space Matching for Single-Cell Perturbation Modeling

SystemMatch (ICLR 2022 · arXiv:2205.07110): a generative latent-space matching framework for single-cell perturbation modeling, now used as a benchmark for cellular representation learning.See More

Work History

P

Product Lead, AI Software

Paces AIFeb 2026 - May 2026 • 4 mos• Led a focused 3 month AI product strategy engagement for an energy infrastructure intelligence company, defining the roadmap for geospatial ML systems used by developers, utilities, and project finance teams. • Architected the pivot from data platform to AI-forward product, designing multi-agent workflows using MCP, LLM toolchains, and intelligent document processing pipelines for permitting data, GIS records, and project documentation at scale. • Established governance and reliability frameworks for AI outputs consumed directly by executive teams and external clients, including uncertainty quantification and audit-trail documentation. • Navigated highly complex, multi-source datasets, normalizing across inconsistent schemas, establishing refresh cadences, and building preprocessing pipelines to make raw permitting, parcel, and grid data usable for AI model inputs.
R

Co-Founder & CEO/CTO

RueJan 2023 - Feb 2026 • 3 yrs 2 mos• Served as both CEO and CTO across the company lifecycle, owning technical strategy, architecture, and product direction while leading fundraising, and investor relations. • Built the full-stack AI platform from the ground up: LLM-powered recommendation engine, two-sided marketplace infrastructure, and partner integrations serving 1,000+ enterprise and SMB clients including IBM, Silicon Valley Bank, Monday.com, and James Beard Foundation. • Architected production AI systems including LLM pipelines, embedding and vector search infrastructure, and retrieval-augmented generation; designed and deployed AI agent systems with end-to-end monitoring, telemetry, and observability. • Defined AI deployment standards across the full model lifecycle, from experimentation and evaluation through production rollout, performance monitoring, and continuous optimization. • Led AI product strategy across the full company lifecycle, including fundraising narrative, investor due diligence, and successful exit. • Managed a distributed global engineering team; established technical standards, sprint cadences, and code review processes across a remote organization.
I

Machine Learning Engineer

ImmunaiAug 2020 - Dec 2022 • 2 yrs 5 mos• Joined as the founding ML hire at a precision immunology company; built scRNA-seq analysis pipelines, graph neural networks, and generative models for drug target discovery. Grew with the company from seed stage to a $1.3B valuation. • Designed and deployed ML decision-support tools adopted directly by pharmaceutical partners under clinical timelines, translating complex model outputs into interpretable artifacts for non-technical domain experts. • Published SystemMatch (ICLR 2022, arXiv:2205.07110): a generative latent-space matching framework for single-cell perturbation modeling, now used as a benchmark for cellular representation learning.
P

Chief Technology Officer

PPETrackrJan 2020 - Sep 2020 • 9 mos• Built a real-time PPE inventory tracking platform deployed across hospital networks during the COVID-19 pandemic; owned backend architecture and deployment. • Licensed the platform as open source; worked directly with state governments including Washington, California, Connecticut, and New York to support emergency procurement tracking.
L

Software Engineer

LyftJun 2019 - Sep 2019 • 4 mos• Worked on the privacy engineering team, building backend services and data infrastructure to enforce CCPA compliance across Lyft's data systems; contributed to reliability and observability tooling across distributed systems.
C

Software Engineer

CiscoMay 2018 - Sep 2018 • 5 mos• Built internal tooling and contributed to network infrastructure software.

Education

Y

Yale University

Bachelor of Science, Computer Science (focused on applied AI/ML; fellowship in AI governance and technology ethics from Yale Law School's Information Society Project)2016 - 2020

How Pangea Works

Effortlessly discover top talent

We've distilled the candidate search from endless hours down to just a few minutes. Using Pangea's AI-powered search tools, you can find top fractional talent able to take on your next project. Our system looks at your company's niche and your needs to find the perfect match faster than any traditional hiring platform.

Start working with talent today

The top talent on Pangea is ready to get started with you right now. You can message or hire a candidate right from their profile page and start assigning work as soon as they respond. And the best part? Pangea's fractional contract structure lets you start small and ramp up as your needs change, keeping your costs manageable and your team's capabliities flexible.

Track work and invoices in one place

Assign tasks, track progress, and complete invoices all on Pangea. We've combined every part of the hiring process into one platform to eliminate the miscommunication that's unavoidable on other freelance platforms. We even send out 1099s to your contractors at the end of the year!

Talk with a Talent Expert

Members of our team are available to help you speed through the hiring process.
Available Now
Book a Call
Product and AI engineer, technical leader, and VC-backed founder who loves building fast, talking to users, and running ops with AI.
Senior technical leader and AI engineer with a decade of hands-on ML and software engineering experience and a successful exit as a founder. Built and shipped production AI systems across life sciences, energy infrastructure, and B2B SaaS, and advised founders, executives, and investors on AI strategy, governance, and implementation. Published foundational ML research at ICLR and holds a B.S. in Computer Science from Yale focused on applied AI/ML, including a fellowship in AI governance and technology ethics from Yale Law School’s Information Society Project.

Talk with a Talent Expert

Members of our team are available to help you speed through the hiring process.
Available Now
Book a Call

Top Talent like Varsha are on Pangea

Pangea, a YC company, connects companies with fractional talent. Fractional hiring allows companies to move faster and work with more specialized talent, while giving talent more flexibility and independence. If you are talent open to fractional work, apply here. If you’re a company looking for high-quality fractional talent, learn more here.

Varsha Raghavan

Full-stack Engineer
Product Designer
Growth Marketing Manager
New York, NY, US
Product Development
Software Development
Design
React Native
Community Management
Client Management
HubSpot
Figma
R
Machine Learning
Next.js
Computer Science
Python
AI
Available for hire fromNegotiable

Projects

SystemMatch: Generative Latent-Space Matching for Single-Cell Perturbation Modeling

SystemMatch (ICLR 2022 · arXiv:2205.07110): a generative latent-space matching framework for single-cell perturbation modeling, now used as a benchmark for cellular representation learning.

Work History

P

Product Lead, AI Software

Paces AIFeb 2026 - May 2026 • 4 mos• Led a focused 3 month AI product strategy engagement for an energy infrastructure intelligence company, defining the roadmap for geospatial ML systems used by developers, utilities, and project finance teams. • Architected the pivot from data platform to AI-forward product, designing multi-agent workflows using MCP, LLM toolchains, and intelligent document processing pipelines for permitting data, GIS records, and project documentation at scale. • Established governance and reliability frameworks for AI outputs consumed directly by executive teams and external clients, including uncertainty quantification and audit-trail documentation. • Navigated highly complex, multi-source datasets, normalizing across inconsistent schemas, establishing refresh cadences, and building preprocessing pipelines to make raw permitting, parcel, and grid data usable for AI model inputs.
R

Co-Founder & CEO/CTO

RueJan 2023 - Feb 2026 • 3 yrs 2 mos• Served as both CEO and CTO across the company lifecycle, owning technical strategy, architecture, and product direction while leading fundraising, and investor relations. • Built the full-stack AI platform from the ground up: LLM-powered recommendation engine, two-sided marketplace infrastructure, and partner integrations serving 1,000+ enterprise and SMB clients including IBM, Silicon Valley Bank, Monday.com, and James Beard Foundation. • Architected production AI systems including LLM pipelines, embedding and vector search infrastructure, and retrieval-augmented generation; designed and deployed AI agent systems with end-to-end monitoring, telemetry, and observability. • Defined AI deployment standards across the full model lifecycle, from experimentation and evaluation through production rollout, performance monitoring, and continuous optimization. • Led AI product strategy across the full company lifecycle, including fundraising narrative, investor due diligence, and successful exit. • Managed a distributed global engineering team; established technical standards, sprint cadences, and code review processes across a remote organization.
I

Machine Learning Engineer

ImmunaiAug 2020 - Dec 2022 • 2 yrs 5 mos• Joined as the founding ML hire at a precision immunology company; built scRNA-seq analysis pipelines, graph neural networks, and generative models for drug target discovery. Grew with the company from seed stage to a $1.3B valuation. • Designed and deployed ML decision-support tools adopted directly by pharmaceutical partners under clinical timelines, translating complex model outputs into interpretable artifacts for non-technical domain experts. • Published SystemMatch (ICLR 2022, arXiv:2205.07110): a generative latent-space matching framework for single-cell perturbation modeling, now used as a benchmark for cellular representation learning.
P

Chief Technology Officer

PPETrackrJan 2020 - Sep 2020 • 9 mos• Built a real-time PPE inventory tracking platform deployed across hospital networks during the COVID-19 pandemic; owned backend architecture and deployment. • Licensed the platform as open source; worked directly with state governments including Washington, California, Connecticut, and New York to support emergency procurement tracking.
L

Software Engineer

LyftJun 2019 - Sep 2019 • 4 mos• Worked on the privacy engineering team, building backend services and data infrastructure to enforce CCPA compliance across Lyft's data systems; contributed to reliability and observability tooling across distributed systems.
C

Software Engineer

CiscoMay 2018 - Sep 2018 • 5 mos• Built internal tooling and contributed to network infrastructure software.

Education

Y

Yale University

Bachelor of Science, Computer Science (focused on applied AI/ML; fellowship in AI governance and technology ethics from Yale Law School's Information Society Project)2016 - 2020

How Pangea Works

Effortlessly discover top talent

We've distilled the candidate search from endless hours down to just a few minutes. Using Pangea's AI-powered search tools, you can find top fractional talent able to take on your next project. Our system looks at your company's niche and your needs to find the perfect match faster than any traditional hiring platform.

Start working with talent today

The top talent on Pangea is ready to get started with you right now. You can message or hire a candidate right from their profile page and start assigning work as soon as they respond. And the best part? Pangea's fractional contract structure lets you start small and ramp up as your needs change, keeping your costs manageable and your team's capabliities flexible.

Track work and invoices in one place

Assign tasks, track progress, and complete invoices all on Pangea. We've combined every part of the hiring process into one platform to eliminate the miscommunication that's unavoidable on other freelance platforms. We even send out 1099s to your contractors at the end of the year!

Talk with a Talent Expert

Members of our team are available to help you speed through the hiring process.
Available Now
Book a Call
Pangea empowers fractional work across the world for marketing and design roles.