Krrish Chawla
New: 3 recent AI publications at NeurIPS and ICLR 2024!
- NeurIPS 2024 Track Datasets: Do Multimodal Foundation Models Understand Enterprise Workflows? A Benchmark for Business Process Management Tasks
- TinyPapers @ ICLR 2024: A Systematic Study of the Role of Data Quality and Alignment for Fine-tuning LLMs for Enhanced Autoformalization
- DMLR @ ICLR 2024: Quantifying the Importance of Data Alignment in Downstream Model Performance
👋 About Me
Currently at Stanford majoring in Computer Science as an undergrad. On campus, I do AI Research at Stanford Artificial Intelligence Laboratory (SAIL). Part-time, I am working as a Software / Machine Learning Engineer at a Stealth Startup doing AI Robot Autonomy.
I have been called an 'Innovations Specialist' - I try to come up with simple, practical solutions and products for complex problems. Previously, I have created and exited a few startups, like Breathify Air Purifiers, selected by Stanford's TomKat Center to intern as a Machine Learning Engineer at Renewell Energy, interned as a Software Engineer at Palmona Pathogenomics, and worked as a Software Developer on campus at Stanford Center For Professional Development (SCPD).
I am constantly looking to further expand my horizons in AI/ML, SWE and Analytics by building cool projects, doing cutting edge AI research and getting industry experience.
And yes, I adore golf. ⛳️
🔬 Research At Stanford
- QTrader: Quantitative (RL) + Qualitative (LLMs) Methods for Smarter Trading Decision Making.
- PixelGuard: Real-Time detection of DeepFakes using Bi-Directional LSTM-CNNs.
- Enterprise Workflow Automation with Vision Language Models with Prof. Christopher Re's group.
- Optimizing Data Selection in LLM fine-tuning for NLP tasks with Prof. Michael Bernstein's group.
- Computer Vision and GANs in Applied Economics with Prof. Susan Athey - GSB Golub Lab.
- Deep Learning for distinguishing between lung cancer subtypes for early detection.
- Targeted Solutions for Outdoor Air Pollution using AI and UAVs (JERET, CS109 Contest Winner).
🧑🏻💻 Projects On The Side
- SkillSyncer: RAG based employee-project matching for companies.
- PestDecide: Pest image to pesticide recs (Vision, LLM, RAG). NYC National Hackathon 2nd Prize.
- Resumate: AI-based custom cover letter generator.
- TailorMail: Compose or reply to emails with AI (LangChain Hackathon Honorable Project).
- Fingerprint Door Lock: Hacking my dorm room door to automate it.
- EdSpire AI: Pinpoint learning gaps in your course prep.
- EdChat App: Anonymous classroom chat.
- StockRocket: Identify fundamental trading patterns.
🏆 Leadership On Campus
- Portfolio Manager (one of 4/100+) at Cowell Fund, Stanford's student led club in Quantitative Research.
- Recruited as one of 40/300+ Stanford students for ASES Bootcamp, Stanford's Premier Entrepreneurship Society. I mentored teams for subsequent years.
- Recruited as one of 12/50+ Stanford students for SPBA X Google Product Management Cohort for Machine Learning.
- Solely represented Stanford at ATXpo to discuss AI and its implications.
- Shortlisted to TA for ENGR 103 - Stanford's Premier Public Speaking Class.
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