my work

I enjoy building products and spend my time innovating solutions that solve problems at scale. Here's a summary of what I've worked so far.

Harness.io

Developer Relations Engineer (2022 - Present)

I joined Harness.io early to grow the Software Engineering Insights module and the developer community. I currently lead the Developer Relations team enabling engineering leaders to build their engineering metrics program and improve module adoption across all our users.

  • In 2022, I joined Harness as a Software Engineering Intern (Community) for the Harness CI module. My team led the product led growth motion at Harness focussing on improving self-servicibilty of the product. We spoke at conferences, wrote blog posts, and created white papers, case studies, videos. We built various open-source examples to demonstrate the use cases of cache intelligence (harness & dlc) & test intelligence. I led the migration of build pipelines for various open source projects including react, signal, yarn etc
  • In 2023, I was promoted to Developer Relations Engineer, now also leading the product-led-growth effort for the Insights module. I mostly spend my time in product strategy, understanding pain points of the existing customers and driving adoption plan for their engineering metrics program.

Stuffs we shipped:

  • Drone CI & Spotify's Backstage plugins for Harness CI and IDP
  • Developed InsightX - An extension of Insights module on Harness designed to measure and analyze developer productivity by generating insights from the consumption and usage of Google Code Assist and GitHub Copilot.
  • Maintained and implemented the Propels automation framework for existing customers & spear-headed AI powered customer support using the Harness AIDA (ML model developed by Harness).
  • Shipped the monitoring framework with Segment to consume and feed product usage related telemtery data into Amplitude for generating insights on user behaviour and activity on the platform.
  • Architected Harness AI Pipeline Studio using large language models, pinecone, and langchain for automated pipeline generation
  • Built integrations with Nexus and Google Artifact Registry (GAR)

Commudle

Developer Relations Engineer - Internship (2021-2022)

Commudle is a platform for facilitating engagements between DevRels and developers. I joined the founding team of Commudle and built the Developer Experience team. Since I joined Commudle, the active developers in platform have grown exponentially, now at 82,000 developers with close to 260+ communities.

  • During my internship I engineered and executed the product-led growth strategy for the Commudle platform.
  • We organized meetups and virtual live streams on DevOps topics like Docker and Ansible, educating developers about the Commudle platform.

My Equation

Machine Learning Engineer - Part Time (2020-2021)

My Equation is a startup in India focused on STEM learning. I joined the team as the founding Machine Learning Engineer (part-time) to drive key initiatives related to ML research, including building services to scale their consumer offerings. My contributions included:

  • Developed a recommendation engine for consumer services, using data preprocessing, training, and evaluation utilities. Pre-trained on a large internal text corpus with strategies like masked language modelling (RoBERTa) and latent representation prediction (Data2Vec).
  • Built a framework for training attribute extraction models to extract web attributes such as course, price, and description from product web pages. This significantly reduced the need for writing custom wordpress wrapper plugins.

Azure Skynet

Machine Learning Engineer - Internship (2020)

This was my first tech internship experience. I joined the Azure Skynet team in June 2020 for a three-month internship. During this time:

  • I built and deployed custom machine learning microservices on Azure VM infrastructure, using Kubernetes, Docker, TensorFlow.js and web middleware technologies.
  • Deployed and managed services in BentoML and SciML.