Led a high-performing team of 10 engineers, driving technical excellence, making critical architectural decisions, providing mentorship, and overseeing the software product development, from conception to deployment, which resulted in successfully launching products for three startups.Enhanced software development processes by incorporating code reviews, offering constructive feedback to maintain code quality, ensuring adherence to SOLID Principles, DevOps best practices, Extreme Programming, and Agile Methodologies, resulting in a 30% increase in sprint velocity and a 40% reduction in deployment time.Cultivated and strengthened client relationships, resulting in a 100% increase in repeat business.

Oversaw the technical architecture and design of enterprise product, ensuring scalability to handle a 100% increase in user traffic while maintaining 99.9% uptime and security compliance.Collaborated with product, sales, marketing, and finance teams, as well as enterprise clients and customers, to define technology roadmap, product requirements, and prioritize features.Mentored 5 team leads and coached 30 engineers in technical and non-technical aspects, setting goals, monitoring performance, and driving a 30% increase in team productivity through cross-functional team collaboration.

Led the migration from monolith to microservices architecture, designed microservices using evolutionary architecture concepts, improving scalability by 90%, and reducing downtime by 80%.Developed reusable libraries, CI/CD pipelines, and leveraged Serverless computing along with containerization for streamlined development processes and improved deployment efficiency. This effort contributed to the cost optimization of AWS infrastructure, resulting in a 20% reduction in operational costs and improved resource utilization.Cultivated a culture of collaboration and continuous improvement, resulting in enhanced team synergy that facilitated driving the implementation of software development, QA, and DevOps best practices. This led to a 40% reduction in production defects and a 30% increase in release speed.

Led a team of 8 members. Created an onboarding and training plan that empowered new team members to actively contribute to research and development initiatives.Conducted R&D and deployed machine learning tools, including Competitive analysis, Inventory forecast, Sales forecast, and NLP models such as keyword recommendation and content description generation for e-commerce products.

Worked on setting up data pipelines, data preprocessing, feature engineering, data splitting, model training, evaluation using RMSE, accuracy, and precision metrics. This work laid a robust foundation for subsequent months' projects.

Developed web scrapers to autonomously gather extensive public data from diverse global e-commerce platforms for training machine learning models, enabling data-driven decision-making and market analysis for strategic business growth.