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.

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.