Dimploma in Advanced Computing

B.E.

Adworks
•  Supporting and operating the existing OpenX (Revive AdServer) based ad network along with planning and designing new low latency, highly scalable bidder plus ad serving platform 
•  Team management, hiring, operations, design of the new platform, & evaluations.

Architect

Aggregation Automation (Very first encapsulated project assignment taken by the Ness for Pearson client)
• Very first scratch project with Architecture design, and development along with successful UAT. which resulted in a bigger project being awarded by Pearson to Ness.
•  Responsible for requirement analysis, design, and development.

“Pandurang repeatedly proved himself during the project to be Mr. dependable, showing extraordinary skills to manage and create impression of the out-of-the-box tech lead with challenging environment especially during the UAT where we had to quickly come up with alternate solutions during Mahesh’s absence.  Pandu, this project would have not been possible without you.” 
		- Sayed Hosseini Morteza (Program Director)

Sr. Software Engineer

Seedling Solutions ( Consumer Analytics to merchants based on transactions data from payment gateway )
•  A Multi-tenant platform built from scratch. Played the crucial role of a service integrator, defining the service contracts and getting them implemented. 
•  Setting up project structure and development process along with DevOps automation 
•  Integrated DMP service.

Sr. Consultant

DealWall (Like HubSpot, enabling sales teams to get insights from different communication channels over an ongoing deal) 
•  Understanding the use cases by interacting with founders and rearchitecting backend design to support multi-tenant architecture. 
•  Design, plan, & Deliver by collaborating with external and internal backend teams.

Lead Server Engineer

Audience Platform (Publisher Digital Ad revenue optimization platform)
•  Technology owner of Audience platform
•  Integrated data providers like eXelate, Bizo, and Quantcast.
•  Identified the gaps in development processes across PubMatic. Incorporated the latest build tools as well as deployment automation using Hudson. Also trained team to latest technology tools to improve the development speed.

•  Identifying pain points of eCommerce players by closely working with their marketing, tech & customer support team.
•  With rising competition and cost per acquisition with ad spends, eCommerce players are struggling to improve the conversions in turn revenue. With third-party cookies getting blocked it is getting even more challenging for marketers to push users to the next level of the funnel through retargeting.
•  Built an MVP first targeting two aspects 1. To show precise user analytics of funnel with deep Magento integration 2. Reporting browser errors for the tech team to understand corner use cases where some of the users might be facing challenges navigating the site. With this, we identified users are taking on average 4 min to place COD orders and 13 mins to place prepaid orders. Identified multiple corner error situations for users on the checkout page. 
•  Subsequently, we tried integrating WhatsApp API to send abandoned cart messages. However, we identified almost 40% 

Founder

cARscan.ai ( SaaS platform for AI-based automated car damage detection)

•  Identifying performance bottlenecks that were crashing the system resulting in frequent downtime
•  Rearchitecting the entire tech stack, designing, planning, and migrating incrementally without business disruption. Improved load handling capacity from 10 QPS to 250 QPS, with no downtime.
•  Optimized infrastructure cost by almost 60% and deployment time from 4 hours to 15 mins with the use of DevOps automation, Blue-green deployment  & containerization with ECS cluster.

YuktaMedia.com

•  Identified issues with data aggregation processes (Python Pandas) getting crashed frequently. Improved the process by using AWS EMR along with Presto DB by training the team. Moreover, with even lesser cost by spawning an on-demand EMR cluster using Apache Airflow.
•  Reduced the hours of resource time spent on manually rescheduling the failing task by introducing an automated retrial mechanism using the MongoDB collection q

Loan processing multi-tenant platform (B2B lending platform)
•  Understanding the workflows by interacting with founders, sales, back office, and credit assessment teams. Designed new workflows and processes along with identifying the right technology stack. 
•  Made new tech stack migration in an incremental fashion without business disruption in 6 months. This is with upskilling the existing team with PHP and Jquery to Java, GWT, and DevOps processes. While collaborating with a few full-time and part-time outsourcing vendors. All this while scaling the team from 8 to 50+ engineers in the span of 12 months.
•  Taking frequent feedback from the sales, back-office & credit assessment teams to understand their pain points and working on improving the workflows to reduce the friction.
•  New tech stack, improved workflows which reduced the discrepancies and back-office team’s time to process the applications. Reduced the friction points between the on-ground sales team and back-office tea

Chief Architect

Software Engineer

medium

github

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