New Delhi, Delhi, India
Project: OTA Life | Full Stack Developer - Designed and maintained the backend architecture for a high-traffic event ticketing platform, utilizing Node.js and Prisma Client. - Implemented complex business logic for order processing, including inventory management for tickets and add-on passes, optimizing for high-volume write operations. - Integrated AWS Simple Email Service (SES) using the AWS SDK v3, handling transactional emails for verification and ticket delivery. - Engineered a dynamic pricing engine capable of handling tiered tickets, loyalty points, and a custom coupon system that bypasses standard restrictions for high-value marketing campaigns. - Resolved critical database deadlock issues during high-concurrency ticket sales by implementing transaction optimization and retry logic, ensuring 100% data integrity. - Integrated frontend components with backend APIs to handle real-time feedback for ticket availability and coupon validity.
- Engineered full-stack web solutions using React, Flask, and MySQL, delivering robust and user-friendly interfaces for internal stakeholders. - Optimized operational efficiency by 30% through the development of automated data processing workflows, significantly reducing manual entry time. - Guaranteed data integrity by implementing rigorous validation protocols and quality checks, ensuring 100% reliability for downstream analytics. - Collaborated cross-functionally within an Agile environment, actively contributing to sprint planning, daily standups, and code reviews to accelerate delivery.
Built and maintained server-side rendered web applications using React.js and Django Optimized application performance for 5000+ concurrent users
During the HACKNOVATE, I collaborated with a team of 3 talented individuals to tackle [Real life Problems on Healthcare. As ML Engineer, I played a key role in data analysis and developing the Machine Learning model to predict Health of User. My Contributions included: 1. Problem Definition and Understanding 2. Data Collection and Preprocessing 3. Feature Engineering 4. Model Selection, Training and Evaluation 5. Optimization I gained valuable experience in technical skills like Data Analysis, Machine Learning and other non technical skills - Teamwork, Time Management and honed my ability to Work under pressure with provided deadline, work in team with my team This achievement reinforced my passion for Machine Learning and my commitment to continuously seek opportunities for innovative problem-solving.