Rajesha Siddarajegowda

Engineered scalable backend services for 5+ web applications in collaboration with product managers and stakeholders. Conducted 50+ code reviews and performed penetration testing, identifying and mitigating 100% of critical vulnerabilities pre-deployment. Developed and optimized MS SQL databases, including 20+ stored procedures and ETL workflows , streamlining data operations and supporting business goals.

Diagnosed and resolved over 700 backend bugs, improving system stability and reducing error rates by 60%. Maintained and optimized 40 RESTful APIs which is in NodeJs, enhancing response time and reliability by 40%. Collaborated with cross-functional teams to identify and fix critical bugs, decreasing downtime by 3 hours per week.

Currently pursuing an MS in Artificial Intelligence and Data Analytics at Hochschule Neu-Ulm, I am enhancing my expertise in deep learning, NLP, RAG, LLMs, and generative AI. With over two years of professional experience in software development, I bring strong skills in full-stack development (Node.js, React.js, NestJS) to build scalable, data-driven solutions. My problem-solving mindset and expertise in AI and scalable systems help deliver impactful tech solutions to real-world challenges.