Nov 2021 – Aug 2023 · 1 yr 9 mos

• Project 1: BizPortal (Buyer-Seller Connectivity Platform)
• Developed comprehensive Microservices architecture for BizPortal, a LinkedIn-like platform for importers and exporters.
• Created backend aggregator service for user authentication, rate limiting, community search, and user-company relationships.
• Implemented User Store, Notification, and Container Management services.
• Supported features: registration, login, container tracking, rate limiting, company search, and user management.
• Utilized Golang, Microservices design, Docker, RabbitMQ, Redis, MySQL, MongoDB, PostgreSQL, Rest API, and rate limiting techniques.
• Ensured scalability, reliability, and security in the system design.
• Project 2: Data Sync Pipeline Setup:
• Designed and developed a robust production system to sync data from multiple databases to a centralized Data Warehouse.
• Leveraged AWS Redshift, Glue, and DMS for efficient data extraction, transformation, and loading.
• Utilized AWS Redshift's advanced columnar storage and distributed query processing capabilities.
• Collaborated closely with stakeholders to optimize performance and enhance data querying within the Data Warehouse environment.
• Technologies used: AWS Redshift, AWS Glue, AWS DMS.
• Project 3: Automatic Risk Assessment:
• Integrated automatic GST and ITR fetching using Karza API into the underwriting process.
• Implemented automated checks for efficient risk assessment.
• Leveraged Ruby on Rails and MySQL database for seamless development and data management.
• Ensured accuracy, speed, and reliability in the risk assessment system.
• Overall, these projects demonstrate my expertise in designing and developing scalable systems, leveraging cutting-edge technologies, collaborating with stakeholders, and delivering robust solutions to enhance business processes and efficiency.

Sep 2019 – Nov 2021 · 2 yrs 2 mos · bangalore · On-site

• Project 1: Bring Your Own Feature (BYOF)
• Developed an abstraction layer over the workflow to enable customers to add custom features and parameters.
• Designed the feature from scratch, including high-level and low-level design, while overseeing infrastructure and deployment.
• Processed petabytes of data to generate metrics at the customer level, aiding in determining company profitability.
• Collaborated with the customer behavior analytics team to provide long-term profitability and cash flow metrics.
• Ensured seamless integration and flexibility for customers to customize their experience.
• Project 2: Project Psyduck
• Built a downstream model for fixed and automated marketing campaigns utilizing customer experience data.
• Played a pivotal role in the productionization of models provided by applied scientists.
• Leveraged customer data to optimize marketing campaigns and improve targeting effectiveness.
• Ensured accurate and timely delivery of marketing insights and recommendations.
• Enhanced marketing strategies by utilizing advanced data analytics and modeling techniques.
• Technologies: Java, Scala, Spark, Python, AWS CDK, DynamoDB, CloudFormation(IaaS), EMR, API Gateway

Jun 2018 – Sep 2019 · 1 yr 3 mos · Gurgaon, Haryana, India

• Project: Order Management System
• Developed and executed the OYO extra feature resulting in a reduction in the burn rate in each booking by ~80%
• Created and managed inbound bookings received via application, website, and OTAs
• Integrated Oyo Rupee Wallet with OMS for allowing users to spend money from their secondary wallet
• Integrated Automatic card charging process for OTAs like bookings.com and Expedia to give users a smooth experience
• Performed a key role in improving SLA of various APIs by 70% and handling 25k-30k API requests per minute
• Project: Complimentary Stay System
• Designed the system from scratch and integrated the same with OMS for helping internal users to run marketing campaigns
• Technologies: Ruby on Rails, PostgreSQL, Redis

Jan 2018 – May 2018 · 4 mos · Gurgaon, Haryana, India

• Refer and Earn:
• Designed and built a comprehensive referral system as a separate service for client apps.
• Implemented a distinct installation process that enables both referrers and referred users to receive referral rewards, presented as discounts on their current bookings.
• Technologies: Ruby on Rails, Postgres.

Jun 2016 – Jul 2016 · 1 mo