EXPERIENCE

• Senior Technical Lead
  HCLTech [2024]

  
  

  • Led the implementation of a Human-in-the-Loop system to enhance machine learning model accuracy through continuous human feedback integration, improving model performance and reliability.
  • Managed and deployed annotation and training pipelines using , , , and collaborative tools such as to streamline the machine learning workflow and enhance team collaboration.
  • Implemented comprehensive CICD image scanning solutions using , seamlessly integrating with and , to identify and mitigate vulnerabilities, ensuring robust security and compliance in the continuous integration and deployment process.
  

• Machine Learning Engineer MLOps
  Chugani [2022 - 2023]

  
  

  • Developed a real-time liveliness service with , , and matching capabilities, achieving low latency of 150 ms. Integrated with for optimized deployment.
  • Enhanced MLOps using , , for versioning, monitoring, and training, ensuring efficient model management.
  • Streamlined the development workflow by transitioning from individual notebooks to modularized scripts, enhancing collaboration, version control, and auto-documentation with and integrating with and to support data annotation and model training at scale.
  

• Machine Learning Engineer
  Yang [2019 - 2022]

  
  

  Machine Learning, Analytics & ETL Engineer –

  2021 - 2022

  • Addressed complex data science challenges by creating tailored solutions for clients.
  • Deployed projects using , , and for interactive application deployment.
  • Developed data pipelines, automated workflows, and created extensive documentation using .
  • Enhanced MLOps practices using , allowing real-time model comparison and metric tracking.
  • Built and published an educational crypto app using on both iOS and Android platforms.

  Machine Learning Consultant

  2019 - 2020

  • Collaborated closely with developers and researchers across 12 countries, focusing on cross-functional ML applications.
  • Applied human activity recognition techniques to improve user experience in interactive applications.
  • Utilized with for scalable model training and deployment.
  • Worked with TTS frameworks like NVIDIA Nemo and Google Wavenet for Deepfake voice cloning applications, pushing the boundaries of interactive media technologies.

• Systems Engineer Intern
  Infosys [2018 -2019]

  
  

  • Deployed various Machine Learning and Deep Learning models on multiple cloud platforms including and
  • Developed models using and programming languages.
  • Managed code using version control system.

• Analytics Intern
  Tata Consultancy Services Ltd. [2018]

  
  

  • Completed a highly-coveted internship at Tata Consultancy Services, where I worked on complex Data analytics projects for a leading industry player.