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General Information

Full Name Srikrishna Iyer
Location Singapore
Email srikrishnaiyer@gmail.com
Phone +65 85878662

Education

  • 2019 - 2020
    Master of Science in Computer control and automation
    Nanyang Technological University, Singapore
    • Research Assistant at Singtel Cognitive and AI lab for enterprises (SCALE@NTU)
    • {"Supervisor" => "Dr. Muhammad Fayez Karim"}
    • Relevant courses: Machine Learning and Genetic Algorithms, Machine Vision, Robotics and Sensors
  • 2015 - 2019
    Bachelor of Technology in Electronics and Communications
    Vellore Institute of Technology
    • {"Supervisor" => "Dr. Velmurugan T"}
    • Relevant courses: Problem solving and Object oriented programming, Probability and Random Processes, Statistics, Linear Algebra, Neural Networks and Fuzzy Control, Digital Image & Signal Processing, Information theory & coding

Experience

  • 2022 - present
    Senior AI Research Engineer
    AI.DA STC, ST Engineering IHQ, Singapore
    • Multi-agent systems for efficient vision-based modeling (Dec 2024 - TBD)
    • Multi-Agent LLMs project including hierarchical state machine based chatbot (June 2024 - Present)
    • AI assistant RAG for Call Center agents using zephyr-7B (Oct 2023 - May 2024)
    • Advanced Predictive Maintenance System using Graph-Attention Based GANs
  • 2020 - 2022
    R&D Engineer I
    Wirebond R&D, ASMPT pvt. Ltd., Singapore
    • Implemented multi-sensor fusion architecture for wire bonding quality prediction
    • Designed efficient domain adaptation model using causal inference
    • Reduced average measurement error by 19% and achieved 2X minimisation of model re-training time
  • 2019 - 2020
    Research Assistant
    SingTel Cognitive and AI lab for enterprises (SCALE@NTU)
    • Developed contactless vital signs monitoring system using mm-wave radars
    • Implemented arrhythmia classification model with 75% accuracy
    • Proposed patent-pending non-contact blood pressure prediction system

Academic Interests

  • Multi-agent systems and LLMs
  • Generative AI and GANs
  • Machine Learning for Healthcare
  • Computer Vision and Pattern Recognition
  • Natural Language Processing

Publications

  • When Babies Teach Babies: Can student knowledge sharing outperform Teacher-Guided Distillation on small datasets (CoNLL 2024, TBP)
  • GAT-GAN: A Graph-Attention-based Time-Series Generative Adversarial Network (arXiv 2023)
  • Support Vector Machine based Spectrum Handoff Scheme for Seamless Handover in Cognitive Radio Networks (2023)
  • mmWave Radar based Vital Signs Monitoring and Arrhythmia Detection using Machine Learning (Sensors MDPI 2022)
  • Structural health monitoring of railway tracks using IoT-based multi-robot systems (Neural Computing & Applications 2020)

Talks and Exhibitions

  • Invited Speaker at IMDA, Singapore - 'Agentic Apps: Lessons learnt from creating Agentic applications' (September 2024)
  • Exhibitor at SWITCH, Singapore - 'AGIL AI Assistant' (October 2024)