Career Profile
Proven track record of leading engineering teams, architecting high-performance solutions, and delivering products across restaurant technology, real estate, cybersecurity, retail, and AI domains.
Experienced in microservices architecture, data engineering, analytics pipelines, and modern DevOps practices.
Experiences
- Enhanced agentic AI systems through skill orchestration frameworks, improving automation reliability and task execution efficiency.
- Designed and implemented scalable analytics pipelines using DBT and Dagster, establishing data modeling standards and governance practices across teams.
- Developed a Walmart sales analytics platform that processed large-scale retail datasets, enabling business stakeholders to monitor performance metrics and generate actionable insights.
- Collaborated with cross-functional teams to improve data quality, pipeline observability, and reporting accuracy.
- Led a team of six in designing and developing scalable applications for the restaurant and real estate sectors, leveraging React.js for dynamic, user-friendly frontend interfaces and Django, FastAPI, GraphQL and Node.js (Express.js) for backend microservices. Reduced time-to-market for key features by 40% through optimized development workflows and modular architecture. Datadog, MS Clarity for user experience and error analysis.
- Spearheaded architecture planning, implementing robust solutions to enhance system reliability and scalability, enabling the application to handle a 3x increase in concurrent users. Ensured seamless communication between microservices with efficient API design and middleware integration.
- Designed and implemented feature-rich dashboards using React.js with reusable components, reducing development time by 40% and error rates by 50%. Enhanced application interface consistency while securely performing calculations on client devices, reducing server load by 20%.
- Integrated multi-channel communication support, including SMS, email, and in-app notifications, to ensure real-time updates and improved user engagement across platforms.
- Implemented a multi-logistics provider integration to optimize delivery operations, enabling seamless dispatch routing and tracking, improving delivery efficiency, and reducing delays.
- Developed advanced user management systems with real-time analytics, enabling stakeholders to monitor key performance indicators and make data-driven decisions.
- Engineered scalable solutions to combat counterfeit product sales using React.js and Angular.js for the frontend, Django for the backend, and Kubernetes cluster technology, ensuring 99.9% uptime and seamless deployment processes.
- Designed and deployed a tracking system that improved counterfeit detection efficiency by 25%, enhancing brand trust for clients.
- Developed a new dashboard using React.js, eliminating server-side rendering to reduce server load by 25%. Leveraged rapid development practices to accelerate the construction of the dashboard, ensuring efficient delivery and high performance.
- Enhanced security protocols and testing frameworks for mobile applications, reducing security vulnerabilities by 20%.
- Contributed to the development of automated security testing tools, cutting manual testing time by 40%.
- Built a SaaS-based Intergrated Retail Management System from scratch using React.js for the frontend and Django for the backend, ensuring seamless scalability and performance.
- Developed a demand forecasting model with Python Pandas and linear regression to predict demand patterns and optimize logistics. Improved resource allocation and reduced delivery delays by 30%, ensuring efficient operations.
- Designed and integrated an Employee Management System to track attendance and provide sales employees with real-time target updates and achievement tracking. Streamlined the sales payout process, enabling firms to disburse remuneration by the 5th of every month instead of the 20th, eliminating conflicts and improving employee satisfaction.
- Delivered multiple enhancements to the SaaS platform, optimizing the handling of large datasets and high-volume transactions, increasing processing speed by 30%.
- Collaborated with cross-functional teams to introduce features that improved user experience, boosting customer satisfaction by 15%.