Abhishek Srivastava

As a core member of Monetization team, I am responsible for ownership and leading tech initiatives right from product grooming to development and finally deploying and maintaining the code which directly translates to revenue for the company. This involves shaping new ideas from our product team into concrete stable and reliable solutions for Carousell's users.

Tech Stack: [Golang, Microservices, Fan-out Pattern, Redis, PostgreSQL, Event Driven Architecture, Messaging Queue]

• Led the Monetization team at Carousell, developing and launching the Buyer Magnet product, which increased listing visibility and drove revenue up by 10%.
• Led the development chatbot flows to target car sellers. Automated the process to trigger daily, improving daily leads submission by 10x.
• Collaborated with the Data Science team at Carousell to leverage AI models for improved listing visibility, resulting in additional $10K monthly increase in monetization spending.
• Led the designing and implementation of the Insights feature, enhancing user engagement and driving an additional 5% in subscription revenue by adding it to paid subscription packages.
• Led the design and implementation of Bulk Bumps. This feature helps in selecting multiple listings in one go to increase visibility. This product led to a 1.5x increase in the bump revenue.
• Designed and shipped Bulk Upload System for paying sellers having large inventory to help them ease listing creation.
• Spearheaded the design and implementation of the Seller Preference Tag feature, generating an additional $500K in revenue.
• Led the development of ad banners at configurable positions for sellers needing classifieds on search and browse. These classifieds are embedded in our search results bringing revenue of $5K a month.
• Maintenance/improvements of legacy code like enabling handling of unhanded events from providers like apple app store and google play store leading to prevention of extended subscription benefits. This led to 2.5% increase in subscription revenue.
• Code migrations from legacy services and on-calls

• As a core member of Shop team at Airtel X Labs, my primary role was to build and evolve the e-commerce platform. Involved in conducting spikes for new features and overall stability of platform as well.

Tech Stack : [Java, Springboot, Microservices Orchestration SAGA, MongoDB, Kafka]

• Designing and Implementation of the overall product journey for physical goods
• Designed the overall product life-cycle for a physical good at Airtel shop which includes create/cancel/exchange/return
• Involves complicated choreography of events between various microservices
• Initiatives for better code maintenance like introducing consul KV, vault
• Implementing various requirements from the product team

• As a core member of the GraphQL team at Tokopedia, my primary role is to build and maintain a system capable enough to handle 600K+ RPS. System has handled many such high traffic events

Tech Stack: [Golang, NSQ, Postgresql, Graphql, Subscriptions, Nginx]

• Designed and led development of Real-Time Push notifications to hundreds of thousands of active users from millions of daily generated user feeds providing a new more user-engaging feature. Millions of daily events captured and fed into NSQ, which is consumed by DB Store and the GraphQL API for subscriptions. Real-time systems are highly resource-intensive successfully scaled with millions of feed and hundreds of thousands of concurrently active users
• Designed from ground up and led the development of Automated Persisted Queries to reduce network bandwidth by sending just a 64 Byte hash instead of a 10KB GraphQL query. Built Nginx binary from source to include dynamic module related to brotli compression leading to 35% reduction in the response sizes. This made the client server communication network efficient resulting in very fast and responsive user interaction with the e-commerce platform.
• Conceptualized, Designed and lead the development of Federation Architecture because of growing number of microservices and their daily changes and deployments, causing frequent issues like memory and go-routines leakage. This saved lot of cost on the cloud infra resources/money.
• Designed and developed a new Development Automation tool from scratch to parse GraphQL Schema and generate resolvers for our custom use case bringing down the graphql adaptation time from weeks to hours with almost most of code and tests being auto-generated.
• Also Involved in various deployment tasks in a multi DC system on a daily basis
• PoCs on performance bottlenecks using memory and cpu profiling and fixing issues related to caching
• Managing issues related to GraphQL from around 100+ microservices
• Updating and moulding and improving dependent open-source libraries like graphql-go used by our implementation of GraphQL as per our requirements

• Writing Raw Data Ingestion Framework and designing, writing and deploying Compactions
• Building and maintaining data pipelines using various tools like Apache Airflow, TCS inbuilt task schedulers
• Interacting with clients on daily basis to gather requirements and convert it into finished products
• Doing PoC on adaptation of new technologies in current projects and improvements in current workflow
• Introduced git to whole team and introduced new concepts like CI/CD which can automated daily repetitive tasks thus saving development efforts
• Organized knowledge sharing sessions on new technologies within team and introducing existing workflow to new joiners