Ankush Rajpoot profile photo

Ankush Rajpoot

Founding Engineer at Hiringg.ai and AI Software Engineer (Intern) at Vocallabs AI

AI/LLM OrchestrationBackend InfrastructureDesign-to-Code AutomationLegacy Code RefactoringGraphQLAWS

About

I am Ankush Rajpoot, a Founding Engineer at Hiringg.ai and an AI Software Engineer at Vocallabs AI. My career has been focused on the intersection of AI orchestration and software efficiency, ranging from refactoring large-scale legacy codebases to automating complex design-to-code workflows. I am passionate about building scalable backend architectures and leveraging AI to solve engineering bottlenecks. Throughout my journey, I have successfully reduced manual development overhead and improved system reliability through optimized node traversal and automated pipelines. I am currently expanding my professional network and exploring mutual opportunities within the AI and software engineering space. Whether it is discussing LLM integration or optimizing infrastructure, I enjoy connecting with others who are focused on building high-efficiency technical solutions.

Networking

What I can offer

  • AI/LLM orchestration expertise
  • Backend infrastructure optimization
  • Design-to-code automation strategies
  • Legacy code refactoring

Looking for

  • expanding my professional network
  • exploring mutual opportunities in AI and software engineering

Best fit for

Software engineersAI researchersTech founders

Current Interests

AI-driven automationSoftware engineering efficiencyDesign-to-code automationScalable backend architecture

Background

Career

Started as a member of GDSC KIET, moved to Software Engineering internships at PlatUI AI and Vocallabs AI, currently serving as Founding Engineer at Hiringg.ai.

Education

Bachelor of Technology (BTech) in Computer Science, KIET Group of Institutions (2022–2026)

Achievements

  • Refactored 15,000+ lines of legacy code at Vocallabs AI
  • Automated 1,000+ Figma Auto Layout nodes into responsive CSS
  • Boosted design-to-code efficiency by 40%
  • Reduced manual front-end layout work by 60%