Hi, I'm Khyati Khandelwal - AI/ML Engineer at Google
I am deeply passionate about the intersection of machine learning research and real-world engineering. I thrive when building AI applications that solve complex problems and enjoy pushing new ideas to production.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Conducted experimental research and data analysis during academic and governmental engagements at Oxford and NITI Aayog.
Currently serves as an AI/ML Engineer at Google while developing custom generative applications independently.
Can provide expert technical mentorship on LLM integration and the transition from academic research to production.
🚀 Career trajectory
Foundational Research
Began as a Data Analysis intern at NITI Aayog, focusing on large-scale policy-relevant data management.
✦ Data Strategy
✦ Public Policy Tech
Applied Research Engineering
Advanced technical expertise at Huawei by moving into AI research roles within complex global infrastructure.
✦ AI Research
✦ Experimental Design
Big Tech Innovation
Currently scaling AI solutions at Google while simultaneously building independent ventures.
✦ ML Engineering
✦ Product Scaling
💪🏻 Superpowers
Architecting Intelligence
Bridging research with scalable engineering
✦ Develops robust LLM pipelines from experimental concepts.
✦ Optimizes machine learning models for production performance.
✦ Integrates sophisticated statistical rigor into software systems.
Academic Precision
Applying scientific methodology to industry projects
✦ Conducts rigorous data analysis to inform technical architecture.
✦ Translates complex data patterns into actionable intelligence.
✦ Utilizes Oxford-trained frameworks for predictive modeling.
Venture Mindset
Driving autonomy through independent product creation
✦ Builds full-stack AI applications independently.
✦ Identifies market opportunities for machine learning tools.
✦ Iterates rapidly on user-focused technical prototypes.
I'm excited about
✦ Seeking opportunities to collaborate with fellow builders on high-growth AI ventures.
✦ Looking to engage with elite technical communities to exchange insights on generative models.
✦ Interested in discovering early-stage projects where I can contribute deep engineering expertise.
I can help with
✦ Mentoring junior engineers on optimizing data pipelines and machine learning research workflows.
✦ Providing technical feedback on architectural decisions for AI-driven startup projects.
✦ Offering advice on transitioning from academic data science to high-scale industry engineering.
I would love your help on
✦ Seeking guidance on navigating the challenges of scaling an independent AI product from zero to one.
✦ Looking for insights on effective distribution strategies for niche technical software tools.
✦ Needs perspective on emerging industry trends in model deployment and infrastructure management.