Career Profile
Proven track record of leading engineering teams, driving architectural decisions, and delivering scalable software solutions aligned with business objectives.
Experienced in modern backend engineering, cloud platforms, and applied AI, including RAG,LLMintegrations, and AI workflows.
Experiences
Technologies: Python • FastAPI • Django • PostgreSQL • DBT • Dagster • AWS
- Designed and implemented scalable analytics pipelines using DBT and Dagster, establishing reusable data models, governance practices, and engineering standards across multiple teams.
- Built large-scale retail analytics solutions processing Walmart sales data, enabling business stakeholders to monitor operational performance, identify trends, and make data-driven decisions.
- Collaborated with engineering, data, and product teams to improve pipeline observability, data quality, and reporting accuracy while driving engineering best practices.
- Designed and enhanced AI-powered platform capabilities by integrating agentic workflows, LLMs, Retrieval-Augmented Generation (RAG), and skill orchestration, improving automation reliability and task execution efficiency.
Technologies: Django, FastAPI, GraphQL, Node.js, React.js, PostgreSQL, Docker, Kubernetes, Datadog
- Led a cross-functional engineering team of six developers, owning technical planning, software architecture, code quality, and successful delivery of SaaS platforms across restaurant and real estate domains.
- Designed scalable microservice architectures using Django, FastAPI, GraphQL, and Node.js, enabling the platform to support three times the concurrent user load while improving maintainability.
- Introduced observability practices using Datadog and Microsoft Clarity, enabling proactive monitoring, faster issue resolution, and improved user experience analysis.
- Established reusable frontend and backend engineering patterns that reduced feature delivery time by 40% and improved development consistency across projects.
- Architected integrations with logistics providers, communication services, and third-party business platforms, streamlining operational workflows and improving delivery efficiency.
- Designed operational dashboards and analytics capabilities that enabled stakeholders to monitor KPIs and make informed business decisions in real time.
- Mentored engineers through design reviews, technical guidance, and engineering best practices while fostering a culture of code quality and continuous improvement.
Technologies: Django, React.js, Angular, Kubernetes, Docker, AWS
- Led the architecture and development of a cloud-native anti-counterfeit platform using Django, Kubernetes, React.js, and Angular, improving platform scalability, deployment reliability, and operational resilience.
- Designed product authentication and tracking workflows that increased counterfeit detection efficiency by 25%, strengthening customer trust and brand protection.
- Modernized dashboard architecture by replacing server-side rendering with a client-driven approach, reducing infrastructure load while improving maintainability and performance.
- Collaborated with product and engineering teams to deliver scalable enterprise solutions with high availability and efficient release processes.
Technologies: Python, Django, Node.js, MySQL, Docker
- Enhanced backend services supporting automated mobile application security testing, improving platform reliability and security analysis capabilities.
- Developed security automation workflows that reduced manual testing effort by 40% while improving vulnerability detection efficiency.
- Collaborated with security researchers, QA, and product teams to deliver secure, scalable backend services supporting enterprise customers.
Technologies: Django, React.js, Python, PostgreSQL, Redis
- Architected and delivered a multi-tenant SaaS retail management platform from concept to production, supporting scalable business operations and future platform growth.
- Designed analytics-driven demand forecasting solutions using Python, enabling improved logistics planning, inventory optimization, and reducing delivery delays by 30%.
- Built business automation systems including employee management, attendance tracking, and sales incentive workflows, streamlining payroll processing and operational efficiency.
- Partnered with business stakeholders throughout product development, translating operational challenges into scalable software solutions.
Technologies: Python, Django, JavaScript, MySQL
- Developed and enhanced enterprise SaaS platform capabilities, improving application performance for high-volume transaction processing and large datasets.
- Optimized backend services and database interactions, increasing processing performance by 30% while maintaining application reliability.
- Worked closely with cross-functional engineering teams to deliver customer-focused features and improve overall platform usability.