I’m Erfan Huq, a software engineer focused on building production-ready AI automation systems on AWS. I love turning messy real-world workflows, like investor sourcing, document screening, and reporting, into reliable pipelines using LLMs, RAG, and well-structured backend services. In my recent work with startups and clients, I’ve shipped integrations and end-to-end solutions across the full lifecycle: requirements discovery, architecture, implementation, and deployment. I enjoy designing systems that reduce manual effort (cutting analysis and documentation time dramatically), while keeping them practical through fast iteration cycles and strong engineering practices.

Erfan S. Huq

I’m Erfan Huq, a software engineer focused on building production-ready AI automation systems on AWS. I love turning messy real-world workflows, like investor sourcing, document screening, and reporting, into reliable pipelines using LLMs, RAG, and well-structured backend services. In my recent work with startups and clients, I’ve shipped integrations and end-to-end solutions across the full lifecycle: requirements discovery, architecture, implementation, and deployment. I enjoy designing systems that reduce manual effort (cutting analysis and documentation time dramatically), while keeping them practical through fast iteration cycles and strong engineering practices.

Available to hire

I’m Erfan Huq, a software engineer focused on building production-ready AI automation systems on AWS. I love turning messy real-world workflows, like investor sourcing, document screening, and reporting, into reliable pipelines using LLMs, RAG, and well-structured backend services.

In my recent work with startups and clients, I’ve shipped integrations and end-to-end solutions across the full lifecycle: requirements discovery, architecture, implementation, and deployment. I enjoy designing systems that reduce manual effort (cutting analysis and documentation time dramatically), while keeping them practical through fast iteration cycles and strong engineering practices.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Language

Amharic
Intermediate

Work Experience

Software Engineer (Automation / Investor Sourcing Pipeline) at Startworks (VentriumSciences) - Startworks - Automating Fundraising Agencies
January 1, 2025 - Present
Built an end-to-end investor sourcing pipeline on AWS Lambda and Step Functions that ingests pitch decks, identifies and scores investors, and drafts outreach across a 1,000+ person network—shifting origination workflow toward negotiation. Used LLM-generated fit justifications alongside profile enrichment from LinkedIn and Google network data. Implemented scoring across 30+ data points (e.g., industry, check size, founder preferences) to automate discovery and outreach quality.
Forward Deployed Engineer at Startworks (DealRiver) / Startworks - Automating Venture Capital
January 1, 2025 - Present
Owned requirements discovery, architecture, and production delivery for an AI automation platform on AWS as the sole engineer and primary technical contact. Shipped multiple production integrations for enterprise workflows with partners (Otter.ai, Affinity, Dropbox, Granola) in 2-week cycles. Built an LLM screening pipeline on AWS Lambda and Step Functions that filtered unaligned pitch decks before human review, reducing analyst deck review time by 87% (saving 8+ hours weekly). Reduced post-call documentation by 93% and quarterly LP report prep by 97% by deploying LLM pipelines over Otter.ai and Granola transcripts and providing a Next.js reporting interface connected to live deal and portfolio data.
Software Engineer Intern at Aurora Solar
January 1, 2023 - August 1, 2023
Built an AI-assisted design control system in React and GraphQL enabling direct UI control over AI layout generation for a production application. Reduced UI latency by 25% across 15+ components using React optimizations such as memoization, prop diffing, and lazy loading. Engineered 10+ React UI components and features using Tailwind and integrated them with backend services via GraphQL during a product overhaul. Led the transfer of 25+ Jest unit tests in under a month, improving test coverage by 65%.
Software Engineer Intern at Miovision
May 1, 2022 - September 1, 2022
Implemented a remote scheduling system using Angular and Node.js with interval management algorithms to eliminate 100% of on-site labor costs for device configuration across 17,000+ municipalities. Automated the collection of debug logs with UNIX shell scripting, reducing retrieval time by 80%.

Education

BASc (Mechatronics Engineering) at University of Waterloo
September 1, 2019 - June 1, 2024

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Computers & Electronics, Financial Services