Karthik Vasudevan

• Led the end-to-end development of an e-commerce website for the IVBMCS project.
• Designed and implemented a responsive user interface ensuring seamless user experience across devices.
• Developed both frontend and backend functionalities using Python Django.
• Led a team of developers, providing technical guidance and ensuring timely project delivery.

Key Project:

IVBMCS

• Integrated payment gateway solutions to enable secure online transactions.
• Built and integrated key features, including:User login and authentication
  User dashboard for managing profiles and services
  Agent dashboard for service applications and tracking
  Staff dashboard for internal operations
  Admin dashboard for overseeing platform management
• Implemented service charge and tax calculations for different countries, ensuring accurate financial processing.
• Deployed and hosted the website ensuring high availability and performance.
• Enabled users to apply for services independently or through agents, enhancing accessibility and flexibility.

Technologies: Python, Django, HTML, CSS, JavaScript,bootstrap

• Specialized in Python frameworks like FastAPI and Pandas, contributing to dynamic projects focused on data processing and API development.
• Played a key role in the evaluation, monitoring, and normalization of system-generated logs, enhancing data accuracy and streamlining analysis.
• Annotated and preprocessed log data for AI/ML models using Pandas and Regex, enabling effective model training and predictive analytics.
• Designed and implemented RESTful APIs using FastAPI to facilitate seamless communication between services and optimize data exchange processes.
• Leveraged Git for version control, ensuring efficient collaboration, tracking, and management of code changes.

Key Project:
SIEM Tool

• Developed an internal SIEM tool to monitor, normalize, and analyze system logs using both rule-based and ML-based models.
• Enhanced log processing pipelines, supporting real-time data ingestion and anomaly detection, improving system security and operational efficiency.
• Collaborated with cross-functional teams to integrate the SIEM tool into existing infrastructure, ensuring smooth deployment and functionality.

Technologies: Python, Flask, FastAPI, Elasticsearch, Pandas.