- Directing and mentoring a team of 20 engineers, fostering a collaborative environment for ideation, development, and problem-solving.- Collaborating with the sales or business development team to identify technical opportunities that aligned with market needs, resulting in new revenue streams.- Incorporating AI-driven insights into marketing strategies, resulting in improved targeting and increased market penetration.- Overseeing the implementation of scalable architectures and systems to ensure product performance even during periods of high user traffic or demand spikes.- Introducing performance monitoring tools or methodologies to proactively identify and resolve system bottlenecks.

- As a Tech Lead, I focused more on driving technical excellence and fostering innovation within the team. Emphasize my ability to implement best practices, stay updated with emerging technologies, and create a collaborative environment that encourages creativity and growth.- I led a team of 11 engineers who were highly skilled in their respective fields. - Implemented entire Infrastructure on AWS.- Introduced multiple Monitoring and alerting systems in the system like NewRelic, CloudWatch, Elastic APM, Sentry etc.- Introduced SQS and Kafka which helped us to process images with 70% more speed.- Implemented Public API gateway system which is currently used by 50+ active clients. - Implemented CI/CD pipeline for smooth and Zero downtime deployment. - Implemented Auto Scaling groups, reduced cloud cost by almost 50%.- Due to the highly scalable and reliable Spyne AI raised Series A funding from ACCEL.

- As a Sr. Software Engineer, I focused more on scaling the System's architecture, reducing cost, and delivering more scalable and reliable solutions which can be used by millions of users.- Revamped the company's infrastructure.- Introduced Next Js, Node Js, MongoDB. Migrated cloud infra from AWS to GCP and Azure. - Created API gateway and Payment gateway system.- Scaled Image processing per minute by 50%- Implemented Microservices-based architecture.

- Built the Company's first Computer Vision product using React Js, Python, Flask, Open CV, and MySQL.- Built the base infrastructure of the company.

Full Stack Web and Computer Science ProgramLearning MERN Stack, Data Structures and Algorithmshttps://github.com/choudharyanujTwitter :- https://twitter.com/anuj_speak