Teaching assistant for a graduate-level Data Structures and Algorithms class of 120 students.

- Led the full integration of Microsoft and Taboola Ads APIs, automating campaign creation and offline conversion uploads. This initiative drove substantial revenue growth, fulfilled high-demand feature requests, and streamlined process automation.- Enhanced “CINCY,” the company’s real-time product database for multi-retailer price and availability tracking, by integrating affiliate networks. This improved data accuracy and expanded the platform’s capabilities.- Engineered complex ETL pipelines for recurring data ingestion from diverse customer sources. Key contributions included: • Crafting sophisticated BigQuery queries. • Developing ETL scripts using Python and Django. • Designing partitioned and isolated client schemas in PostgreSQL. • Implementing indexing and data normalization processes for web pages. • Upgraded “Channels,” a cron-based microservice that ingests data from affiliate network APIs into BigQuery datastores, by adding new affiliate integrations to enhance data breadth.- Proactively established engineering documentation and critical alerting systems, setting up Sentry alerts for vital backend systems to improve reliability and facilitate team efficiency.

- Developed ETL pipelines to access data from EVM chain(ETH) from genesis to date and process it further for analytics and human readability. - Spearheaded the development of on-chain data aggregation and social features, which significantlyy improved the overall user experience.- Built and maintained the backend infrastructure for the product, ensuring its smooth operation and performance.- Successfully released a new feature that quickly gained popularity, attracting over 10,000+ users in just 48 hours.- Streamlined the code architecture, containerized sub-modules and established continuous integration pipelines to improve efficiency and quality.- Mentored three interns and created team processes to improve team productivity & collaboration.

- Contributed significantly to a B2B wallet profiling product development, leveraging EVM chain technology, PostgreSQL, and Docker to segment on-chain wallet addresses effectively and enhance target funnel strategies.- Engineered and launched a gamified Django platform targeting the active NFT community, significantly increasing product engagement and user base. Led the integration of NFT functionalities, ensuring seamless user experience and system performance.- Proficient in Django, AWS, Docker, Kubernetes, and EVM chain technologies, with a strong understanding of how to effectively utilize them for various projects.

Focused on improving the company's backend infrastructure, collaborated with the team to introduce survey management using Ruby on Rails, streamlining the process and improving data management.

- Created the new official website for HydroSense Lab, IIT Delhi, using the Hugo framework, resulting in a modern and user-friendly platform for visitors (https://hydrosense.iitd.ac.in/).- Participated in a multi-institutional faculty interdisciplinary research project (MFIRP) in crowdsourcing with University College London (UCL), focused on "Making local knowledge matter for landslides and flooding preparedness." As part of this project, I developed a Telegram bot (https://t.me/Indra_ReporterBot) that enabled citizens to record natural/climatic activities around them and submit them to INDRA (https://indra.iitd.ac.in/), helping to improve preparedness for these events.- Single-handedly developed a Telegram bot that allows citizens to report and document natural/climatic activities in their area, improving data collection for INDRA.

- Collaborated with Dr. Manabendra Saharia at IIT Delhi on the India Water Model (IWM), a state-of-the-art water modeling system implemented in South Asia by HydroSense using the NASA Land Information System Framework (LISF). My work centered on creating a visualization library for the IWM, using various techniques to extract and analyze data from multi-dimensional datasets.- Utilized Python3 and a range of libraries, including Matplotlib, Cartopy, Xarray, GDAL, Pandas, and Numpy, to develop a visualization library that can be applied to any LIS dataset to create global visualizations.- Contributed to developing the IWM, which leverages high-resolution, accurate rainfall observations to improve water modeling in South Asia.

- Developed a tool to deploy Trafficgen, Loadgen, and other supporting tools on Openstack and Kubernetes environments in a variety of topologies. This tool has significantly improved the efficiency and flexibility of testing and performance evaluation for network functions virtualization (NFV) in OpenStack (https://gerrit.opnfv.org/gerrit/c/vineperf/+/72940).- Utilized my expertise in OpenStack and Kubernetes to create a tool that simplifies the process of deploying and configuring various testing and performance evaluation tools in diverse network architectures.- Contributed to advancing network functions virtualization (NFV) in OpenStack by developing a tool that streamlines the deployment and management of testing and performance evaluation tools.

Contributed to the development of the nmstate project (nmstate.github.io) by adding support for wireguard, a secure and efficient virtual private network (VPN) protocol. This feature allows users of nmstate to easily configure and manage wireguard connections, providing an additional layer of security and privacy for their networks. As a member of the nmstate team, I worked closely with other developers to ensure the smooth integration of wireguard into the platform and to test and verify its functionality. This contribution has helped to advance the capabilities of nmstate further and make it an even more useful tool for network configuration and management.

Contributed to the development of the Meshes.jl package for the Julia programming language. This package provides a range of functions and data structures for working with meshes, which are commonly used in computer graphics, finite element analysis, and other fields. My contributions included adding new features and functions to the package, improving existing code, and testing and debugging to ensure the quality and reliability of the package. As a contributor of the Meshes.jl team, I worked closely with other developers to maintain and improve this widely used tool, helping to make it an even more powerful and useful resource for Julia users.

Participated in a project in the EEG analysis lab at IIIT-A, under the guidance of Prof. U.S. Tiwari (Head, Center of Cognitive Computing) and Sudhakar Mishra, focused on developing a tool for diagnosing mental health conditions. I was responsible for designing and implementing various aspects of the tool, including the algorithms and data structures used to process and analyze EEG data, as well as the user interface and other front-end components. This project required a strong understanding of EEG analysis and mental health diagnosis, as well as programming and software development expertise. Working on this project allowed me to apply my skills and knowledge to a real-world problem and contribute to the development of a tool that has the potential to help people suffering from mental health issues.

Open source Contributor in project Cosmos under Girl Script summer of code 2019.

GirlScript Summer of Code is the 3 month long Open Source program during summers conducted by GirlScript Foundation, started in 2018, with an aim to help beginners get started with Open Source Development while encouraging diversity. Throughout the program, participants contribute to different projects under guidance of experienced mentors.