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Machine Learning Engineering  •  AI Research  •  Software Engineering
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Aishik Nagar - Tech Lead & Machine Learning Engineer

https://aishiknagar.com › about

I am a Tech Lead and Machine Learning Engineer at ASUS Global (AICS), leading the R&D of Clinical AI Assistant systems. My work focuses on Agentic LLMs, Generative AI, and building scalable healthcare solutions serving thousands of patients in dozens of hospitals. AICS is pretty much an AI startup within ASUS, and I'm involved in a lot of hardcore engineering and research. This ranges from deep AI research (check out my papers and patents!) to taking the models we build into production with optimized GPU inference (both on cloud and on-prem in hospitals), agentic workflows and full stack apps, all integrated in Hospital Information Systems. Since its a small team, I lead everything from experiment design and implementation all the way to system design, software engineering and even some of the PM stuff from time to time (I honestly wouldn't like it any other way).

I also conduct independent research at the intersection of cognitive and embodied AI, multimodality, reasoning, mechanistic interpretability and clinical AI in my free time :D. I'm collaborating with a bunch of different organizations such as Center for Frontier AI Research, A*STAR and IN-CYPHER (Imperial/NTU CYber Protection for HEalthcaRe), with projects planned with other research agencies soon!

I graduated with a Bachelor of Engineering (EEE) from Nanyang Technological University as a Nanyang Science and Engineering Scholar. Most of my time is spent in programming, working on fun projects and solving challenging problems. I love AI research, exploring new tech and building for social good. The wonders which technology can produce never ceases to amaze me.

I'm a huge sucker for sports like badminton, squash, tennis (any racket sport, really), swimming, cricket, soccer and running. In my free time, one can catch me watching comedy shows, drinking coffee and playing board games.

Skills & Expertise

Agentic LLMs Generative AI Computer Vision Model Post-Training Model Inference Clinical AI Mechanistic Interpretability Python TensorFlow PyTorch Keras NVIDIA Triton vLLM FastAPI Hugging Face LangChain Langgraph GCP Azure Kubernetes Docker Helm JavaScript TypeScript React Node.js SQL NoSQL Flutter Much More...
300M+
Requests served by my services/Day
5+
Years Exp
45K+
Youtube Views
5+
Global and National Awards
30+
Projects
5
Published papers in top ML conferences
20+
Global Media Coverage
Aishik Nagar

Aishik Nagar

Tech Lead & Machine Learning Engineer

Your friendly neighbourhood engineer.

Born: 15-Jul-2000
Education: Nanyang Technological University
Current: ASUS Global (AICS)

Experience

Tech Lead, Machine Learning Engineer

ASUS Global (AICS)
Jan 2024 - Present

ASUS Intelligent Cloud Services (AICS) is ASUS Global’s moonshot division for Biomedical and Healthcare AI Solutions.

  • Leading the team of 5 engineers for R&D of the Clinical AI Assistant system, with features like Clinical Chat, Note Drafting, Clinical Reasoning, Medical Code Recommendation, and Anomaly Detection through finetuned LLMs and Agentic AI. Integrated CAA into Taipei Veterans General Hospital with 90%+ positive feedback in clinical testing.
  • Developed new datasets, evaluation and reward functions and training recipes for reinforcement learning based online training of models in hospital settings for clinical reasoning, follow-up and intervention based on partially observable patient signals. Improved relative performance of small models ( 7B parameters) by 54% and outperformed large models such as GPT o3 and GPT 5 on clinical reasoning tasks.
  • Invented a novel summarisation framework, outperforming State-of-the-Art by 6x in clinical preference.
  • Built Developer Copilot Systems for Internal and Third Party developers, using Agentic LLMs to outperform State-of-the-Art Implementations for our task by over 15%, with 25% effective productivity gain and 11% code accuracy gain.

Software Development Engineer

ASUS Global (AICS)
Dec 2022 - Jan 2024
  • Worked in the AI systems team to build AI-first Hospital Information Sytems (xHIS) in Taiwan and Singapore, serving 20+ hospitals and helping thousands of patients in consultation.
  • Led projects for Medical AI SaaS services: 45% latency and 75% memory usage reduction for medical search and prediction (ICD, CPOE, Drug etc.). Improved search ranking algorithms to achieve 95%+ clinician satisfaction.
  • Developed services including Hospital IT Debugging Support Bot, ICD Code Prediction, remote doctor PC debugging, health check mechanisms and dozens of hospital requested features across AI , Backend, Frontend and Telemetry teams.

Algorithm Engineer

Shopee, Singapore
Jul 2022 - Dec 2022
  • Shopee (NYSE: SE) is the largest eCommerce platform in Southeast Asia and Taiwan.
  • Led Anti Spoofing Projects for Malaysia; developed Identity Verification API for ShopeePay and SeaMoney, used by millions of customers in Malaysia.
  • Enhanced data mining efficiency in unlabeled datasets from 10% to 40%.
  • Implemented CNN techniques for handling long-tailed imbalanced datasets using architecture agnostic techniques like RSG and LDAM-DRW, boosting model performance by 70% on internal benchmarks.
  • Applied CNN Condensing with PDE constraints, reducing storage and computation costs by 60%.

Research Intern

A*STAR Singapore (Visual Intelligence Dept)
Jun 2021 - Jan 2022
  • Researched on 3D Deep Learning and built a 3D simulation environment based on iGibson for generating synthetic training data for 3D Deep Learning.
  • Developed Deep Learning systems for Human Segmentation and Object Detection.

Industry Project

Aptiv Automobiles
Jun 2020 - Dec 2020
  • Worked on the nuScenes Dataset for autonomous vehicles.
  • Worked on object detection using 3D point cloud and 2D RGB data.
  • Explored multimodal models for route prediction.

Data Science Intern

Shopee, Singapore
May 2021 - Aug 2021
  • Worked on Salient Object Detection and Image Segmentation using SOTA Deep Learning models U2Net and F3Net.
  • Performed algorithmic improvements on the model along with extensive image processing to develop the latest product segmentation service in Shopee.
  • Used and improved on state-of-the-art deep learning models like YOLOv5 for training and developing a custom general object detector service.
  • Optimized core image processing processes such as non max suppression implementation on GPU to avoid CPU offload bottlenecks, and optimized alpha matting for better image segmentation.
  • Engineered inference and deployment optimizations pipelines, increasing efficiency by 10x; serving 100M+ daily requests.

Image Processing and AI Intern

Panasonic R&D Centre, Singapore
Jun 2020 - Dec 2020
  • Developed Perception AI for autonomous vehicles used in Panasonic ADAS systems.
  • Researched face recognition, monocular 3D object detection and sensor fusion algorithms (LIDAR, pinhole, fisheye, GPS, etc.). Developed end-to-end sensor management, data collection and visualization modules for use in the vehicle.

Education

Nanyang Technological University

2018 - 2022

Bachelor of Engineering (Electrical & Electronics)

  • Nanyang Science and Engineering Scholar: 100% Scholarship for Undergraduate Studies.
  • University Scholars Gold Medal (Koh Boon Hwee Scholars Award): Awarded to 8 out of 10,000+ students in cohort.
  • NTU EEE Excellence Award: Awarded to 4 out of 750 students in Class of 2022.

The Heritage School

2016 - 2018

Indian School Certificate (ISC)

  • All India Rank 4: 98.75% (School Topper) in National Boards.
  • INSPIRE Scholarship: By Central Govt. of India for top 1% performance.
  • Outstanding Student Personality Award: Upon Graduation.

Publications (Google Scholar)

View all publications on Google Scholar

Projects

In the News

Leadership & Activities

Founder, Geolytics.AI

Jun 2021 - Present

Developed and Deployed and AI enabled Natural Disaster Risk Management Platform. Worked with organizations such as National Disaster Management Authority of India and Earth Observatory of Singapore to understand gaps in technology for disaster relief. Engineered sophisticated AI pipelines for Damage Assessment of affected areas directly from satellite imagery.

Founder, DementiCare

Jun 2019 - Aug 2021

Built a cross-platform app to assist dementia caregivers. Collaborated with nursing homes in Singapore. Won global Google Solution Challenge 2021 and many other accolades.

Chairperson, iNTUition v7.0

Aug 2020 - May 2021

Led a team of 45+ to organize NTU's largest hackathon. Expanded reach to international participants. Developed virtual venue platform handling 500+ concurrent users and sponsors like SAP, HP, Bigo, GovTech.

Academic Service

Jun 2023 - Present

Regularly contributing to academic service such as reviewing papers for top AI conferences such as ACL ARR and NAACL.

Session Chair, Large Language Models, IEEE WCCI (IJCNN), 2024

Jul 2024

Chaired the LLM session in IEEE WCCI in 2024. Handled the proceedings and moderated discussions on the latest research in LLMs.

NTU Presidents Research Scholar

Jun 2019 - May 2020

Participated in the Invite-only Undergraduate Research Experience on Campus program in NTU. Worked on Error Correcting Neural Networks for Robustness to Adversarial Attacks.

Technical Director, IEEE NTU Student Branch

Aug 2019 - Aug 2021

Spearheaded technical workshops and hackathons (IEEE Techathlon). Managed internal technical infrastructure and website.

Events Director, Google Developer Student Club NTU

Aug 2021 - May 2022

Organized events to enable students to build impactful products using Google technologies.

Trainer and Developer, Garage@EEE

2019 - 2020

Organized workshops on topics like web development. Developed the Garage@EEE website.

School Vice Captain, The Heritage School

2017 - 2018

Led the Student Council of 300+ members.

Awards & Achievements

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