Subha Ilamathy

• Accumulated more than three years of diverse experience in software engineering,
  emphasizing artificial intelligence and machine learning, while delivering impactful
  solutions and sophisticated system designs that advance the technology sector.
• Functioning as a Software Engineer with a specialization in AI and machine learning
  systems, leading innovative initiatives that harness generative AI to boost operational
  efficiency and provide valuable insights.
• Accumulated a wealth of knowledge and expertise in various roles, mastering advanced
  machine learning frameworks, cloud deployment strategies, and data processing
  techniques, which have been instrumental in driving project success and innovation.
•  Exhibited outstanding leadership and collaborative abilities, nurturing an environment
  of innovation and teamwork while steering cross-functional teams towards the
  successful completion of impactful projects.
• Expertise in generative AI technologies and their practical applications, empowering
  the development of advanced AI-driven solutions that effectively tackle intricate
  challenges across multiple domains.
• Possesses a strong understanding of cutting-edge advancements in AI technologies,
  such as retrieval-augmented generation and large language models, guaranteeing a
  competitive edge in a swiftly changing technological environment.
• Recognized for exceptional problem-solving abilities, delivering high-quality AI-driven
  solutions that meet complex business requirements & exceed stakeholder expectations.
• Actively engaged in the AI community through participation in workshops and
  conferences, continuously expanding knowledge and sharing insights on the latest
  trends and advancements in artificial intelligence and machine learning.

Software Engineer – AI/ML Systems
Zoho Corporation | Oct 2021 – Jul 2023

• Conceptualized and implemented a Generative AI-powered Log Assistant utilizing
  LangChain, Milvus, and GPT-4, automating system log analysis to provide intelligent
  summaries and insights for DevOps teams.
• Architected a high-performance Image Retrieval System by embedding multimodal
  features and integrating FAISS & Apache Kafka, improving image query response time-5x.
• Orchestrated the deployment of production-grade ML inference services using PyTorch,
  ONNX, OpenVINO, and FastAPI, achieving a 35% boost in throughput across cloud and
  edge environments.

Software Engineer – Machine Learning
Multicoreware Inc | Sep 2020 – Oct 2021
 

• Devised a real-time lip synchronization error detection pipeline leveraging 3D CNNs in
  PyTorch, enabling audio-visual alignment with 40% enhancement in processing accuracy.
• Evaluated & optimized object detection frameworks for edge devices using Transformer-
  based models trained on the KITTI dataset, ensuring real-time inference capabilities.
• Streamlined gesture recognition workflows by introducing model compression techniques
  (quantization, pruning), reducing latency & resource consumption by over 50%.

•  2025: Master of Science in Computer
  Science, University of Illinois Chicago, IL
  GPA: 4.0/4.0
• 2020: Bachelor of Engineering,
  Computer Science and Engineering,
  Anna University GPA: 8.59/10.