Jul 2024 – Present · 1 yr 8 mos

• Building an AI enabled Learning Ecosystem! Leading all things tech, product, design, business.

Jan 2024 – Jun 2024 · 5 mos

• Owned Scaler's Growth Products, taking care of the Lead Conversion, Monetization and Sales Tech pods.
• Improved Lead to Payment from average of ~1% to ~1.5%, overall reducing CACs by ~40k per sale.
• Improved Sales Productivity by leading intelligent lead allocation and assignment initiative. Developed models to allow for better lead prioritization and allocation, reducing CACs as well.

Aug 2021 – Jun 2024 · 2 yrs 10 mos

• Lead Instructor and Module Owner for SQL, LLD, HLD, Data Engineering, DevOps Modules. Taking MC with org wide highest NPS and A2P/ NA2P (Attended to Payment) ratio of 4.

Aug 2020 – Aug 2021 · 1 yr · Bengaluru, Karnataka, India

• Built a system to plan and automate PnL attributions for Google Ads by creating a data pipeline, consuming data from different financial and monitoring systems. This helped improve transparency and precision for PnL costs. Owned product scoping and UI designing as well, alongwith implementation using a Java based web framework and an Angular Typescript frontend. This pipeline handled 10 TB of data on daily basis, performing complex analysis and attribution to different BU within Google.
• Worked on an Area 120 project targeting YT Creator Economy to implement Web Share APIs to increase top of the funnel.
• Languages and Frameworks used: C++, Java, Typescript, Angular, internal Web Frameworks.

Sep 2019 – Mar 2020 · 6 mos · Greater Bengaluru Area

• Worked on a tool to manage the designs under development and incorporate customer feedback in the phase to reduce monetary losses. Worked on both Frontend and Backend.
• Working on the Data Ingestion Layer of an upcoming smart device to create user profiles and provide relevant insights based upon their health metrics. Designed architecture to withstand data coming continuously from million+ devices.

May 2019 – Jul 2019 · 2 mos · Gurugram, Haryana, India

• Used Apache Airflow to transform ETL pipeline with real-time monitoring, reducing failure rates by 50%.
• Built a system to scrape couriers’ tracking websites and provide the clients with status monitoring for their packages on a unified dashboard.
• Built a POC of an AR Application that measured parcel dimensions without user interaction.

Feb 2018 – Jul 2018 · 5 mos · Gurugram, Haryana, India

• Built an end to end Machine Learning pipeline to recognize text from handwritten postal labels with an accuracy of 71%.
• Reduced frame processing time by 3 times on Shipsy’s Rider Android App by implementing custom CameraView and using Facebook’s Fresco for reducing memory consumption.
• Used Firebase ML Kit to implement Barcode Scanning. Doubled the rate of scan by making efficient use of multithreading.