Hi, I'm Khushi Yadav - Open Source Developer at GirlScript Summer of Code
I am passionate about building intelligent systems that solve real-world problems. I thrive when orchestrating multi-agent workflows, scaling AI applications, and collaborating on complex, high-impact projects.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Secured the Grand Prize in the Xylem Global Student Innovation Challenge for a GIS environmental solution.
Specializes in building agentic AI and RAG-integrated production applications using Python and modern LLM frameworks.
Provides expertise in multi-agent workflow orchestration and system performance optimization for AI-driven products.
🚀 Career trajectory
Academic Foundation
Completed B.Tech in Artificial Intelligence and Data Science with an 8.85 CGPA, focusing on core systems.
✦ AI/DS Research
✦ System Fundamentals
Early Career Acceleration
Transitioned from intern to full-time AI Engineer, scaling production-grade systems in real-world scenarios.
✦ Production AI
✦ Agent Development
💪🏻 Superpowers
Agentic Architecture Design
Building autonomous multi-agent workflows for complex production environments.
✦ Architected multi-agent systems using CrewAI and Letta for production-grade recommendation engines.
✦ Optimized agentic workflows by integrating advanced RAG with vector databases and caching.
✦ Implemented memory and state management for scalable agent interactions.
Cross-Border Innovation Leadership
Driving impactful technological solutions in global competitive environments.
✦ Led a distributed international team to win the Xylem Global Student Innovation Challenge.
✦ Synthesized GIS data and data science models to tackle ocean plastic pollution.
✦ Bridged communication gaps to deliver cohesive, award-winning technical output.
Full-Stack AI Integration
Bridging the gap between raw LLM capabilities and user-facing applications.
✦ Developed end-to-end drug information systems using Mistral, RAG, and Streamlit.
✦ Maintained high performance through Python-based multiprocessing and asynchronous system design.
✦ Integrated complex backend services with React-based front-end interfaces.
I'm excited about
✦ Exploring cutting-edge advancements in agentic AI through expert-led peer discussions.
✦ Seeking mentors who have navigated the transition from junior engineer to AI architect.
✦ Finding new opportunities to build scalable AI systems within international, impact-focused startups.
I can help with
✦ Provide technical guidance on integrating RAG architectures with modern LLM stacks.
✦ Share strategies for leading remote, cross-cultural hackathon teams to victory.
✦ Offer insights on optimizing Python-based backend performance for production AI workflows.
I would love your help on
✦ Navigate best practices for career growth within high-growth AI startup environments.
✦ Understand the nuances of scaling agentic workflows beyond initial experimental phases.
✦ Connect with peers who are exploring new ways to integrate GIS and AI technology.