Software engineer Neha Prasad is seeking a remote full-stack or front-end engineering position after struggling to secure employment despite an extensive portfolio of open-source contributions. Prasad, who is not a computer science graduate, reports having over 150 pull requests merged into core AI infrastructure projects including Mastra, LlamaIndex, LiteLLM, PostHog, Next.js, and OpenHands. Among her technical achievements, she fixed a bug in the streaming state machine of Mastra that caused silent freezes when utilizing Anthropic’s Programmatic Tool Calling, an effort that required shipping updates across 21 separate packages.

Beyond infrastructure contributions, Prasad has built several AI-native products, including DigiNav AI, an autonomous compliance agent designed for Indian business filings that utilizes a LangGraph state machine. She also developed CompliScore, a compliance health scanner built in one day using Next.js and Groq, and Agent Blueprint, an open-source visual builder for AI agents that allows users to export runnable Python code. Her current project, ExplainAI, focuses on creating transparency in AI agent decision-making for non-technical stakeholders by incorporating bias flags and a manual human override feature.

Prasad reports having applied to over 100 companies—including Y Combinator startups and VC-backed scaleups—over the past couple of months without receiving a formal job offer. Despite proactive networking and cold outreach to founders, she faces a limited timeline to find a new role. She is currently pursuing remote full-time, contract, or trial-based opportunities, highlighting her expertise in TypeScript, React, Next.js, Node.js, Python, FastAPI, and AI agent orchestration frameworks like LangChain, LangGraph, and Mastra. She emphasizes her ability to build entire products within days and ship critical fixes in hours as her primary value proposition for employers in the AI development tool and agent platform sectors.

Software engineer Neha Prasad is seeking a remote full-stack or front-end engineering position after struggling to secure employment despite an extensive portfolio of open-source contributions. Prasad, who is not a computer science graduate, reports having over 150 pull requests merged into core AI infrastructure projects including Mastra, LlamaIndex, LiteLLM, PostHog, Next.js, and OpenHands. Among her technical achievements, she fixed a bug in the streaming state machine of Mastra that caused silent freezes when utilizing Anthropic’s Programmatic Tool Calling, an effort that required shipping updates across 21 separate packages.

Beyond infrastructure contributions, Prasad has built several AI-native products, including DigiNav AI, an autonomous compliance agent designed for Indian business filings that utilizes a LangGraph state machine. She also developed CompliScore, a compliance health scanner built in one day using Next.js and Groq, and Agent Blueprint, an open-source visual builder for AI agents that allows users to export runnable Python code. Her current project, ExplainAI, focuses on creating transparency in AI agent decision-making for non-technical stakeholders by incorporating bias flags and a manual human override feature.

Prasad reports having applied to over 100 companies—including Y Combinator startups and VC-backed scaleups—over the past couple of months without receiving a formal job offer. Despite proactive networking and cold outreach to founders, she faces a limited timeline to find a new role. She is currently pursuing remote full-time, contract, or trial-based opportunities, highlighting her expertise in TypeScript, React, Next.js, Node.js, Python, FastAPI, and AI agent orchestration frameworks like LangChain, LangGraph, and Mastra. She emphasizes her ability to build entire products within days and ship critical fixes in hours as her primary value proposition for employers in the AI development tool and agent platform sectors.