Kuldeep Kumar

Lead Backend Developer

Resero Analytics, Indianapolis (2020 - Present)

• Designed and developed scalable and high-performance RESTful APIs and microservices using Python frameworks like Django, FastAPI.
• Integrated third-party APIs and developed custom APIs for seamless data exchange between systems.
• Designed and optimized relational databases (PostgreSQL, MySQL) for efficient data storage, retrieval, and performance.
• Built and maintained robust, scalable, and secure backend services using Python and modern development best practices.
• Implemented asynchronous programming for high concurrency and improved performance using libraries like asyncio, Celery, and Redis.
• Ensured code quality through rigorous code reviews, unit testing, integration testing, and adherence to SOLID principles and design patterns.
• Mentored junior developers, conducted code reviews, and provided guidance on Python best practices, architecture decisions, and problem-solving approaches.
• Played a key role in designing and evolving the architecture of complex backend systems, balancing scalability, reliability, and maintainability.
• Collaborated with stakeholders to translate business requirements into technical solutions and architectural designs.
• Identified and resolved technical debt, conducted root cause analysis for system failures, and implemented solutions to improve overall system stability and performance.
• Advocated for and implemented new technologies and methodologies to keep the tech stack modern and efficient.

Schoolinks Inc, Texas

• Developed robust, scalable API-centric infrastructures, boosting system performance by 30% and enhancing user experience.
• Integrated customer APIs to automate data retrieval, significantly reducing onboarding time by 50%.
• Architected and implemented backend features using Python and Django, achieving parallelism with message queues and multiple consumers.
• Built a microservices-based architecture on AWS, ensuring a 99.9% uptime for production and staging environments.
• Executed comprehensive test plans and debugging scripts, improving code reliability and decreasing bugs by 40%.
• Modernized legacy codebases, enhancing functionality and maintainability, resulting in a 20% increase in developer productivity.