Hi, I'm Abhinav Lalwani - AI Engineer at FlutterFlow
I'm driven by bridging logic and learning to build intelligent systems. My passion lies in pioneering Neurosymbolic AI, and I thrive on tackling complex problems that push the boundaries of AI applications, especially in product innovation.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Interned at Google and studied Computer Science at Stanford University.
Currently an AI Engineer at FlutterFlow, focused on Neurosymbolic AI.
Can help others by sharing expertise in developing AI features for products.
🚀 Career trajectory
Academic Foundation
Cultivated deep interest in AI through rigorous CS studies at Stanford, alongside early research roles at CSIR-CEERI and BITS Pilani.
✦ Stanford CS
✦ Research Intern
Research & Teaching
Gained practical research experience as a Research Assistant and contributed to education as a Teaching Assistant at BITS Pilani.
✦ Research Assistant
✦ Teaching Assistant
Industry Application
Currently applying AI expertise as an AI Engineer at FlutterFlow, building intelligent systems with a focus on Neurosymbolic AI.
✦ AI Engineer
✦ FlutterFlow
💪🏻 Superpowers
Pioneering Neurosymbolic AI
Integrating logic and learning for advanced AI.
✦ Focusing on Neurosymbolic AI and Automated Reasoning.
✦ Applying logic programming and machine learning.
✦ Developing novel AI approaches.
Bridging Research and Development
Translating academic insights into product value.
✦ Current AI Engineer role at FlutterFlow.
✦ Previous ML research internships and RA roles.
✦ Experience from Google and academic labs.
Foundational CS Expertise
Solid grounding in core computer science principles.
✦ Studied Computer Science at Stanford.
✦ Proficient in C++, Java, Python, and Prolog.
✦ Strong understanding of algorithms and data structures.
I'm excited about
✦ Connecting with researchers in Neurosymbolic AI.
✦ Exploring opportunities for AI-driven product innovation.
✦ Finding collaborators for advanced AI projects.
I can help with
✦ Offer expertise in developing AI features for products.
✦ Share insights on implementing NLP and machine learning.
✦ Discuss strategies for integrating logic-based AI systems.
I would love your help on
✦ Identify key leaders in automated reasoning research.
✦ Find opportunities to present AI work at industry events.
✦ Connect with startups focused on AI product development.