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Lakshmi Narain College of Technology and Excellence is an educational institution that offers graduate, in the fields of Engineering and Medical Sciences.

Lakshmi Narain College of Technology and Excellence, Bhopal, India

• Developed advanced applications as a part of the academic projects, like applications for disease prediction, premium collection and transaction analysis using technologies like C, C++, Python, MySQL and Django
• Build, Third Eye Project- It is a disease predicting web app which predicts the disease on the basis of user’s symptoms and gives information about nearby hospitals (even without having a GPS supported device), where one can get treated (Jan-Feb) 2020
• Premium Collection Point- A Django based Web App to collect Premium Dues for LIC Premiums. Build a business model to make the project sustainable in aspect of revenue. There were two entities Branches and their Managers. Branches can also increase their income with the help of Refer n Earn. Built a custom Payment Gateway to support the wallet load money service at 0 cost. (jun-aug) 2020

- Delivered high-quality, maintainable code by implementing best practices, automated testing, and code reviews, reducing bug resolution time by 15% and release cycles by 30%.
- Collaborated with cross-functional stakeholders to define requirements and optimize implementation strategies, achieving a 25% decrease in project turnaround time.
- Designed and implemented a scalable betting platform for Betfaro, supporting 50,000+ concurrent users during peak match times, processing over $1M in daily transactions, and leveraging the Double Bet model to drive a 60% increase in client profitability and a 40% surge in website traffic.
- Optimized data processing workflows for KodeKloud by 20% through the development of scalable features leveraging MongoDB, Flask, and AngularJS.
- Designed and optimized database schemas to support high-volume transactions, ensuring scalability and efficiency for Betfaro's betting platform.

6th Floor, Crystal IT Park, Indore 452014 (M.P.), India

- Developed a SaaS platform for Extended Detection and Response (XDR), migrating customer data from individually owned, on-premises EC2 instances to a centralized architecture leveraging Kubernetes clusters and a unified database. This transition reduced infrastructure management overhead, enabled scalable, pay-as-you-go service offerings, optimized resource utilization, and facilitated modular cybersecurity services.
- Enhanced the SaaS platform's efficiency by building a robust CI/CD pipeline, automating testing, deployment, and scaling processes, reducing deployment times by 40% and increasing system reliability and responsiveness.
- Architected integrations with Tenable, Microsoft Azure, VirusTotal, ServiceNow, and Trellix/McAfee, improving platform efficiency by 25% and enabling faster and more effective threat response.
- Engineered a high-performance data segregation engine to identify customer-specific threat impacts across billions of records. By transitioning from traditional database queries to Redis key-value pairs and ultimately optimizing to a bit-string representation, achieved a ~99.88% reduction in memory usage and improved query speeds by over 100x, enabling real-time threat analysis and decision-making at scale.
- Built a unified query language engine for Super Search, consolidating the search functionalities of three existing Trellix products into a single interface, and implemented Elasticsearch for additional search capabilities. This innovation improved data retrieval speed by 80% and simplified the user experience by eliminating the need for multiple search portals.
- Implemented a dynamic rule engine that enables the SaaS platform to define, manage, and execute complex cybersecurity rulesets stored in the database. By eliminating the need for hardcoded logic, this solution streamlined the creation and deployment of new threat detection rules, reducing response times and enhancing agility in addressing emerging threats in a rapidly evolving cybersecurity landscape.
- Enhanced incident management workflows by developing a scalable logging system, enabling efficient event tracking and analysis across integrated cybersecurity services.

5, Salarpuria Infinity, 2nd Floor, Front Wing, Bannerghatta Road, Bengaluru, Karnataka 560029, India