Creating and developing innovative software solutions for clients across a broad range of industries.

Participate in scrums consisting of cross-functional teams, both software and hardware.

Ensure that features are being delivered efficiently and on-time.

Built and deployed a new algorithmic trading system for Hyperion Fintech - delivering all essential system components.

Developed a back-testing system that can handle multiple assets across multiple timeframes, and can do hyperparameter turning to search optimum parameters for trading. Defined and implemented fault-tolerant, highly available and secure features on the system for users.

Architected the system infrastructure and delivered clean, robust code for the microservices.

Worked on the development of Mantium, a cloud platform for building with large language models and managing them at scale.

Built the AI workflow engine that integrated with OpenAI and added advanced features such as composition and Human-in-the-loop.

Developed the backend APIs and the Python client.

Actively involved in building a new startup idea on location intelligence on urban mobility apps.

Designed and delivered the MVP for the urban mobility app of the project.

Developed roadmap planning tasks and handled cost estimation for the product.

Built and led DevWriters to deliver cutting-edge tech content for clients.

Wrote and delivered quality content for big companies like IBM, Xplenty, Scout APM, Codementor, Educative.io and Packt Publishing.

Supervised the DevWriters team and collaborated with clients on projects.

Built containerized microservices to improve the performance of the Myntra payment stack.

Designed and implemented a new tool that analyzes customer-reported payment issues for immediate resolution.

Worked on the support process for a buy-now-pay-later payment instrument for Myntra.

Prepared and wrote the entire course material for "Hands-on Reinforcement Learning with TensorFlow.

Provided additional materials on machine learning and debugging using TensorBoard and TensorFlow-debugger.

Successfully published the course on O'Reilly Safari and Udemy - attaining 4+ stars average ratings.

Served as a Code-In Mentor and Code Mentor on the Google Summer Code program.

Maintained the Coala-quickstart tool as a top contributor - making consistent contributions to the core library.

Built and implemented automation solutions to enhance the identification of settings on the program.

Designed and implemented analytical solutions for the client's city-specific beer industry.

Built the ETL pipeline for data and identified key market-share drivers on the project.

Deployed modules for univariate and multivariate analysis on the solution - handling some machine learning algorithms.

Built and implemented new prediction models and data aggregators on a space weather forecasting project.

Oversaw the dev process for delivering Tabverts and ZeelaCoin on the project.

Designed and implemented the client-facing dashboard for the Arsenic Labs project.

Designed a new dashboard to help NewsMeme generate news videos from non-video content.

Deployed scrapers to scrap GIFs and images from different sources for the solution.

Implemented a drag-n-drop interface on the dashboard for compiling artefacts to create news videos.