Summary
Henil Panchal is an AI-focused software researcher with 8 years of experience bridging machine learning research and real-world systems, particularly in financial and perishable-commodity forecasting. He has delivered production-ready solutions—from multimodal vision-language models and quantization-aware serving to distributed inference orchestration and stateful mobile automation—during internships at TRDDC and research stints at UIUC and BITS Pilani. Henil contributed to Fortran-lang as a Google Summer of Code participant and mentor, improving website performance and localization for a widely used community project, and later worked on its package manager and registry. His academic work includes adversarially fine-tuning LLMs against indirect prompt-injection attacks, a paper spotlighted at NAACL 2025 TRUST NLP Workshop, showing a rare mix of applied ML engineering and security-aware model research. Based in Ahmedabad, he also led his university Data Science Club, reflecting both technical depth and community-building instincts.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Nirma University, Ahmedabad, Gujarat, India
English, Hindi, Gujarati