Mar 2023 – Jun 2024 · 1 yr 3 mos

• » Leading a team of 4, working on overhauling the current Ad-Serving Infrastructure to move from older VM backed services to a more efficient microservices based architecture using kubernetes.
• » Part of the team executing ground-up development of 2 new lead generation products in automobile and education verticals.
• » Participate in system design and capacity planning for services. Setup multiple different pipelines to make monitoring metrics easier and automated the necessary steps while maintaining high availability of our services.

Jun 2018 – Mar 2023 · 4 yrs 9 mos

• » Implemented autoscaling infrastructure to handle sustained volume and huge spikes of traffic, handling more than 3 billion requests per day.
• » Maintaining infrastructure reliability and optimizations for serving 40-50k qps, with an SLO of 99 percentile response time of 100ms.
• » Managing more than 100 servers hosting different services.
• » Building and maintaining automated CI/CD pipelines for rapid deployments of new features.
• » Cost optimisation for the company by de-coupling and segregating different processes within our serving infrastructure.
• » Setup auxiliary services like Wiki, rundeck, grafana, prometheus etc. to facilitate day to day operations and documentation.
• » Participate in system design consulting and capacity planning for services.
• » Setup multiple different pipelines to make monitoring metrics easier using ELK stack for granular application metrics, as well as Grafana backed by prometheus for infrastructure related metrics
• » Interacting with frontend/backend/database developers, product and QA teams to aid and implement different features.
• » Rotational on-call schedules and incident response to make sure our services see minimum downtime.

Jan 2018 – Jun 2018 · 5 mos

• Worked on internal tools for managing Active Directory information and Secret Management.

May 2019 – Aug 2019 · 3 mos · Mumbai Area, India

• Mentoring a project on an approach for ontology alignment through the use of an unsupervised mixed neural network.

Apr 2018 – Aug 2018 · 4 mos · Bengaluru Area, India

• Co-mentored student on the project "tablist extractor", which fused previous 2 dbpedia projects of list and table extractors, as well as an interactive GUI for the same.

May 2017 – Aug 2017 · 3 mos · Gujarat, India

• Worked on "Wikipedia List-Extractor" Project with DBpedia.
• Wikipedia, being the world’s largest encyclopedia, has humongous amount of information present in form of text. This project focused on developing a software for the extraction of relevant but hidden data which lies inside lists in Wikipedia pages, form appropriate RDF triplets which follow existing DBpedia ontology and finally appending these triplets and extend the DBpedia dataset.