Aditya Bansal
Hello! I am a Machine Learning Engineer at Adobe where I am building Enterprise AI Agents. I graduated from Carnegie Mellon University's Language Technologies Institute with a Master's and with a B.Eng. in Computer Science with a specialization in AI from Nanyang Technological University, Singapore. My interests include Explainable AI, Neural Network Compression, and Applied Machine Learning.
News
Jan 2026Paper on Human-LLM Collaborative Feature Engineering published at ICLR 2026
Feb 2026Joined YMCA of San Francisco as Board Member, Urban Philanthropy Board
Apr 2025Serving as ACL Industry Track Paper Reviewer (ACL 2025, 2026)
Aug 2024Paper on Compressing VAE-Based OOD Detectors accepted at IEEE RTCSA 2024
Oct 2024Winner, Cal Hacks @ Berkeley 2024 — Vespa Track
Oct 20231st Prize, CMU HackAuton 2023 — Sustainable AI
Nov 2022Winners, CMU AutoML Decathlon 2022
May 2022NTU President Research Scholar Award for excellence in URECA Research
Aug 20213rd Prize Best Paper Award at STCAI 2021 & NTU URECA Research Excellence Award
Jun 2021Winner, SAP Cloud Track — iNTUition v7.0 Hackathon
Nov 2020Finalist, Microsoft AI for Accessibility Hackathon (APAC, 11 countries)
Jul 2020Most Promising Leader Award — NTU PEAK Leadership Program
Experience
2024 — present
Adobe · ML Engineer, AI Agent Orchestrator
AI Agent Orchestrator — an LLM driven agentic platform for Enterprise Marketing
2023
Adobe · ML Engineer Intern, Intelligent Services
Tool-augmented LLM application for API execution and task planning
2021
IIT Madras · Research Intern
Weather and climate forecasting using deep learning techniques
2021
Dyson · ML Engineer (Research)
Short-term time series forecasting for air quality prediction
2020 — 2021
SAP · Full-Stack Developer & Software Engineer
ML recommendation system for enterprise LMS
2020
Amazon Web Services · Student Consultant, NTU PEAK
NTU PEAK Leadership Program
2019
Rivigo · Software Intern
Publications
Z Li, A Bansal, J Li, S He, Z Lu, M Zhang, Q Liu, Y Yang, S Jain, M Yin, et al. · ICLR 2026
A Bansal, M Yuhas, A Easwaran · IEEE RTCSA 2024
A Bansal, C Guan · ICUR 2020 (Monash University & University of Warwick)
A Bansal · B.Eng Thesis, Nanyang Technological University
Teaching & Mentorship
Spring 2026
Leadership Coach · San Jose State University (Braven) Braven
Fall, Spring 2023
Graduate AI Mentor (PAIR Program) · Carnegie Mellon University PAIR Program
Fall 2023
Graduate Teaching Assistant — Machine Learning in Practice (05-834) · Carnegie Mellon University, under Prof Carolyn Rose Course Page
Spring 2023
Graduate Teaching Assistant — Introduction to Machine Learning (10-601) · Carnegie Mellon University, under Prof Matt Gormley Course Page
Fall 2023
Mathematics Tutor (PLUS Program) · CMU & Stanford PLUS Program
Fall 2021
Peer Tutor — Algorithm Design & Analysis (CZ-2101) · Nanyang Technological University, under Prof Huang Shell Ying