Hey 👋, I'm

Tejus Vijayakumar

I am into training deep neural nets on large datasets

As a multidisciplinary Engineer with over 4+ years of experience at a leading bank, I led a team of 6 engineers to develop and deploy machine learning solutions. I also developed more than 12 payload-encrypted APIs handling approximately 1 million daily requests. My hands-on experience includes developing deep learning models from scratch, such as a 60 million parameter Transformer Model trained on a single Nvidia A100 GPU with 40GB memory for code summary generation, fine-tuned LLMs, Deep Q-Network (DQN) for reinforcement learning, and Residual Network (ResNet) for image processing. Additionally, I have worked with image processing tools like OpenCV and stay updated on important recent advancements, including multimodal Large Language Models (LLMs).

Graduated MSc Artificial Intelligence & Machine Learning from the University of Limerick, Ireland.

see my resume

Work Experience & Education

Machine Learning Engineer @Tech Mahindra

July 2018 - August 2022

  • Developed and implemented multiple ML models to analyse lead data for customer segmentation.
  • Created detailed dashboards to monitor service requests and analyse lead data, including projections for performance improvements.
  • Collaborated extensively with data scientists, analysts, and infrastructure teams to develop and deploy robust, scalable machine learning solutions
  • Proficient in implementing CI/CD pipelines, leveraging DevOps practices, and managing MLOps workflows to streamline and automate development
  • Create build and release pipelines, containerized applications using Docker, and deployed on Kubernetes for streamlined development and testing
  • Architected and developed scalable, multi-component machine learning software platform, enhancing performance and enabling real-time data analysis
  • Developed and maintained real-time dashboards to provide customers with actionable insights and enhanced visibility into key metrics
  • Achieved 80% reduction in deployment time through automation in Python and shell scripting.
  • Developed 12+ encrypted APIs performing data transformations, orchestrations, and aggregation.
  • Experience in implementing symmetric and asymmetric encryption methods like AES-256, RSA etc.

Projects