Aditya Rathod
Co-Founder & CTO at Coheso | AI-focused legal tech leader
Pittsburgh, Pennsylvania
Summary
Specializes in applying AI and LLM techniques to legal technology problems, focusing on domain-specific training, fine-tuning, and production integration of models for contract drafting, review, and legal question answering. prnewswire+2
Technical leader and entrepreneur: co-founder and CTO at Coheso, engaged in building an AI-powered intake and work-management platform for in-house legal and compliance teams and helping bring the product to market. coheso+2
Academic foundation in language technologies and multimodal machine learning from Carnegie Mellon University, including coursework and TA work in multimodal machine learning, underpinning his applied research and engineering in AI. cmu+1
Published researcher with peer-reviewed work in applied deep learning and feature-selection methods, demonstrating experience in academic research alongside industry roles. google
Work
Education
Writing
Robust RAG-based Legal Question Answering Systems for Knowledge Management (contribution in ILTA Digital White Papers)
January 1, 2024Contribution describing challenges and enhancements for Retrieval-Augmented Generation systems tailored to legal knowledge management, including proposals for exhaustive retrieval and structured aggregation for legal queries.
Feature selection using evolutionary algorithms: a data-constrained environment case study to predict tax defaulters
January 1, 2022A paper applying evolutionary algorithms to feature selection in a data-constrained environment for tax defaulter prediction, illustrating applied ML research.
Learning Domain Specific Features using Convolutional Autoencoder: A Vein Authentication Case Study using Siamese Triplet Loss Network
January 1, 2019A research paper on using convolutional autoencoders and siamese/triplet-loss networks for vein authentication, reflecting work in deep learning and domain-specific feature learning.