Saif Ali Email & Phone Number

Gurugram, Haryana, India

Built a system that effectively determines the dues for each tenant by tracking the spending based on ad impressions served. The system supports both monthly and daily billing cycles. A queue-based architecture to achieve high reliability. Interfacing with an external payment processor supporting credit cards and Automated Clearing House (ACH).

San Ramon, California, United States

𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗲𝗱 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗙𝗼𝗼𝗱 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆 𝗯𝘆 𝗹𝗲𝘃𝗲𝗿𝗮𝗴𝗶𝗻𝗴 𝗣𝘂𝗯𝗹𝗶𝘀𝗵-𝗦𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗽𝗮𝘁𝘁𝗲𝗿𝗻.• Developed a robust Scheduling System that dynamically calculates the delivery time based on various parameters like cooking time, driver's availability and customer's location.• Handled event changes and updates efficiently, ensuring seamless communications with the customers both via SMS and In-App notifications (MQTT) keeping them informed about their latest order status in real-time.𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗱 𝗮 𝘁𝗼𝗼𝗹 𝘁𝗼 𝗲𝗻𝗮𝗯𝗹𝗲 𝗗𝗶𝘀𝗰𝗼𝘂𝗻𝘁𝘀 𝗮𝗻𝗱 𝗰𝗿𝗲𝗮𝘁𝗲 𝗖𝗼𝘂𝗽𝗼𝗻𝘀• Developed the backend by leveraging Serverless architecture, Node.js, GrapqhQL DynamoDB.• Implemented client-side business use cases, fetching, caching and modifying application data all by automatically updating the UI using GraphQL Apollo Client.• Developed user-friendly frontend components using React.js for the end users to sort/filter/apply coupons during the ordering process.• Key Features: Discount types, Expiry dates, Minimum order value, Usage Limits, Restrictions and conditions.𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗼𝗼𝗴𝗹𝗲 𝗣𝗮𝘆 𝗮𝗻𝗱 𝗔𝗽𝗽𝗹𝗲 𝗣𝗮𝘆 𝗮𝘀 𝗽𝗮𝘆𝗺𝗲𝗻𝘁 𝗺𝗲𝘁𝗵𝗼𝗱𝘀• Enhance the payment experience and reduce unexpected card transaction errors. • Improving the order conversion rate by providing users with multiple convenient payment options.

Bengaluru Area, India

Worked on the below projects as a core technical founding team member.𝗗𝗮𝘁𝗮 𝗦𝘁𝗿𝗲𝗮𝗺𝗶𝗻𝗴 𝗳𝗼𝗿 𝗥𝗲𝗺𝗮𝗶𝗻𝗶𝗻𝗴 𝗨𝘀𝗲𝗳𝘂𝗹 𝗟𝗶𝗳𝗲 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻 𝗼𝗳 𝗠𝗲𝗰𝗵𝗮𝗻𝗶𝗰𝗮𝗹 𝗘𝗾𝘂𝗶𝗽𝗺𝗲𝗻𝘁• Objective was to develop a scalable system to enable data streaming and processing for predicting the Remaining Useful Life (RUL) of large-scale equipment.• Designed and implemented a distributed system using AWS cloud to extract and transform large volumes of sensor data in real-time by building data ingestion pipelines and RESTful APIs.• Leveraged Kafka as a messaging system to enable seamless and reliable data streaming between different components of the system.• Developed real-time monitoring and visual representations with actionable insights using React.js• Collaborated with data scientists and domain experts to gather requirements and translate them into technical solutions.• Load Testing. 𝗦𝗲𝗻𝘀𝗼𝗿 𝗢𝗻𝗯𝗼𝗮𝗿𝗱𝗶𝗻𝗴 𝗖𝗼𝗻𝘀𝗼𝗹𝗲 (𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝗹 𝗧𝗼𝗼𝗹)• Individually spreadhead the entire project of a comprehensive tool for onboarding new sensors and managing deployed sensors.• Collaborated closely with cross-functional teams, including operations, engineering, and sales to ensure the tool met the company's operational needs and strategic objectives.• Provided training and support to team members and end-users, ensuring effective adoption and utilization.𝗥𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗳𝗮𝘂𝗹𝘁 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝗮𝗻𝗱 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀.• Goal was to process the events and updates in real time.• Prepare a detailed report by aggregating the data from multiple data sources like S3, databases, and other microservices.• Ensure seamless communications with the stakeholders via SMS, E-mail and In-app notifications.

Building Web Apps and Backend Infrastructure