Abhishek Kumar Email & Phone Number

Gurugram, Hr, In

Gurugram, Haryana, India

• Implemented a Redis Queue-based download request system for processing over 2 million records in the CRISIL project, optimizing data handling and improving system performance.• Implemented Redis caching functionality for dashboard APIs, tailored for multiple Admin and NGO users based on their respective organizations, reducing response times to 30-100ms.• Implemented email-based download functionality for Admin and NGO users, and re-engineered the notification service using Firebase Admin SDK to enhance communication efficiency and reliability.• Implemented year-wise materialized views in the CRISIL project to enhance data retrieval efficiency for dashboard APIs, significantly improving query performance and response times.• Implemented multiple cron jobs with proper error handling and transaction management in the Educate Girls project to retrieve data from Zoho APIs and store it in the database regularly, automating data synchronization based on project needs.• Implemented IVR feedback logging in the ECLM project using Morgan to store call logs, and utilized encryption for mobile numbers with Crypto to ensure data security and compliance.• Tech Stack: Node.js,TypeScript, MYSQL,Redis.

Noida, Uttar Pradesh, India

• Developed REST APIs and performed database modeling with both NoSQL and SQL, utilizing various services such as Amazon SNS, SQS, and S3.• Effectively troubleshooted bottlenecks and bugs, resulting in a 20% improvement in system performance.• Implemented core services for multiple panels (SuperAdmin, Admin, and SubAdmin) and apps (Parent, Transport, and Teacher), increasing scalability by 25% and reducing backend maintenance time by 45%.• Developed multiple cron jobs to automate alerts, reducing manual intervention by 15%, and applied Joi validation for API definitions, decreasing erroneous database API calls by 35%.• Utilized web scraping techniques to generate recommended prices by applying various algorithms to scraped data and internal pricing. Successfully executed this for one of Germany’s largest car rental providers, resulting in a 55% increase in sales within 3 months of deploying the tool.• Optimized MongoDB queries using aggregate and projection methods, reducing page load times by 15%.• Tech Stack: Node.js, React.js, TypeScript, MongoDB, Amazon S3, SNS, SQS.