Mar 2023 – Sep 2025 · 2 yrs 6 mos

• As a Principal Engineer at WorkIndia for just over four years, I’ve been deeply involved in enhancing scalability and promoting technical excellence across our engineering teams. By embracing the nuanced and complex engineering challenges that naturally arise from the immense scale of our platform I’ve helped shape the engineering vision that drives our company forward.
• I’m passionate about WorkIndia’s noble mission to empower the most vulnerable sections of society by providing a platform for sustainable livelihood opportunities. The transparency and humility within our culture make me feel at home, fostering an environment where I thrive both personally and professionally. High expectations and challenging technical projects keep me on my toes, continuously pushing me to excel. The support and ownership entrusted to me by our executives has not only honed my leadership skills but also helped me evolve into a great technical lead.
• My journey here reflects the very essence of what makes WorkIndia special—dedicated people working together toward a meaningful cause.

Dec 2020 – Mar 2023 · 2 yrs 3 mos

Nov 2019 – Dec 2020 · 1 yr 1 mo · Mumbai Area, India

• Architected and developed Martell - a high throughput (1M+ rpm) microservice responsible for all the catalog, inventory APIs
• Architected and developed features and libraries to support product searches. Added feature to dynamically configure product attributes and ability to filter search results based on them
• Designed and built the framework and libraries for end to end API Testing and automating documentation generation for micro-services

Aug 2018 – Nov 2019 · 1 yr 3 mos · Mumbai Area, India

Aug 2017 – Jul 2018 · 11 mos · Bengaluru Area, India

• Worked with the founders and clients to develop the core backend services and features of the entire product in a small agile team (<5 people). Within a year of its inception we bagged a few top tier customers, made it into the coveted Tech-stars incubator and closed a $2M Million seed round
• Built ETL pipelines for advertising channels such as Snapchat, Seznam and integrated it with other analytics channels like Google Analytics
• Developed the API as a service for the platform, a developer friendly REST API with JWT authentication
• Refactored the on-boarding service reducing time to integrate new advertisment/analytical channels significantly

Jul 2016 – Aug 2017 · 1 yr 1 mo

• Maintained complete ownership of the entire engineering process including architecture, design, coding, testing, deployment and monitoring of one of the core modules
• Designed and built the User Analytics feature; showcased at Google Next 2017, SF, USA
• Designed and implemented many scalable, low-latency, and high-throughput web services supporting thousands of concurrent users on cloud
• High-availability and scalability achieved using Google Cloud Platform including App Engine, Cloud Datastore, Cloud Storage, BigQuery
• Experience with web development principles including REST architecture, HTTP, JSON, XML, PubSubHubbub
• Modelled roles and permissions for the entire application; added authorization layer in admin services
• Integrated Google Analytics with the APIs for tracking and reporting dashboard usage
• Developed audit logs feature that lists the configuration changes made by the admins
• Experience with Google APIs like YouTube, Google+, Directory, Blogger, Drive, Contacts

Jan 2016 – Jun 2016 · 5 mos

• Developed and enhanced the core APIs of time and attendance module
• Developed RESTful APIs of attendance KPIs, attendance trends, attendance logs and reports
• Designed and developed an interface to perform analytics on BigQuery datasets

May 2015 – Jun 2015 · 1 mo · Gujarat, India

• Reviewed the motives and rationales behind picking between the relational and non-relational database management systems.
• Studied the historical development of DBMS and reasons behind the dominance of RDBMS
• Analysed the NoSQL movement as an alternative to conventional database management systems
• Identified the scenarios where the RDBMS is recommended over NoSQL databases and vice versa