Akhil Poojary
Product @ Flipkart Ads | IIT Madras 2020 Batch
Bengaluru
4+ years of work experience
Dec 20241 yr 11 mosPresent
Bengaluru
Dec'25-Present: (1-to-100) Building an end-to-end product for helping Advertisers grow their New Selection.
Solving the problem of surfacing new selection on Flipkart Platform through Search and Browse Ads, to kickstart visibility for new products on Flipkart for sellers.
Working on various other projects in the PLA (Product Listing Ads) Supply team, i.e, Search and Browse Ads; ranging from A/B test on the Search Ads objective functions for growing Ad Revenue, modifications in Ads Serving Logic on Search and Browse pages on Flipkart, to show more relevant Ads to the customer and opening up strategic slots to improve relevant Ads density.
Dec'24-Dec25: (0-to-1) Built an ecosystem of Flipkart Ads API Offerings for agencies and aggregator platforms in order to manage their clients' advertising Operations on Flipkart.
Launched APIs for PLA+PCA Campaigns' Data, PLA Campaign Optimisation APIs and Sales and Engagement data APIs for Seller accounts, all of which require seller consent for any Agency to use (uses Oauth2.0).
Jun 20246 mosNov 2024
Bengaluru, Karnataka, India
- Selected as a Product Studio candidate, working in the Ads Product team in the Agency charter
- Created and evangelised roadmap and PRD for the Agency charter and for the Agency advertising portal, an estimated 200+Cr bottomline impact on Ad revenue
- Successfully transitioned from Business Analyst to a Product Manager at the end of the stint
Apr 20231 yr 2 mosMay 2024
Bengaluru, Karnataka, India
- Worked in Ad Product Analytics within the Ad relevance and related charters
- Owned end-to-end customer purchase funnel monitoring, analyses, and optimization
- Conducted analytics for all Product Page related constructs on the Flipkart App/Site
- Developed and delivered org-level conversion reporting, including monitoring, deep-diving, and Root Cause Analyses (RCAs)
- Collaborated closely with Product Managers and Business stakeholders to successfully launch features and constructs on the platforms, driving significant impact on Flipkart Revenue
Dec 20187 mosJun 2019
Bengaluru Area, India
- Developed and implemented anomaly detection techniques for Traffic Surveillance and Monitoring applications in urban and semi-urban environments.
- Designed and implemented a robust Violation Detection Algorithm capable of identifying illegally parked or halted vehicles in real-time or recorded CCTV footage.
- Leveraged state-of-the-art Object Detection and Tracking algorithms to generate accurate bounding boxes for vehicles and pedestrians within the video scene.
- Incorporated Vehicle Re-Identification techniques to effectively track individual vehicles throughout the surveillance footage, achieving high detection rates with minimal false positives.
- Identified the need for License Plate Recognition integration to enhance vehicle identification accuracy within the surveillance system.
May 20173 mosJul 2017
Chennai Area, India
• Designed and modelled a self-contained Augmented Reality (AR) headset to be used by consumers and and game developers alike.
• Created prototype models in Autodesk Inventor and Fusion360 modelling software; the first prototype was 3D printed using an ABS 3D printer.
• Performed curvature analysis on the reflector (main component to simulate AR) in order to make it manufacturable.
Akhil’s AI Stack
Education
Dual Degree (B.tech in Engineering Design and M.tech in Automotive Engineering)
Indian Institute of Technology, Madras
20155 yrs2020
Junior College (11th and 12th), || Science [Vocational: Electronics] ||
T.P Bhatia College of Science
20132 yrs2015
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