Aditya Raj — Software Engineer

As a Backend & AI Engineer passionate about building scalable, intelligent systems, I specialize in crafting high-performance APIs and AI-powered platforms using FastAPI, Python, and modern cloud technologies. Currently at ShyftLabs, I design and deploy document-processing pipelines powered by AWS Textract, Claude 3.5, Qdrant, and MongoDB — enabling financial research teams to classify and analyze unstructured data efficiently. My work focuses on integrating vector databases and LLMs to deliver context-aware automation at scale. Previously at MAQ Software, I developed end-to-end AI chat systems using Azure Prompt Flow and Semantic Ranking, optimized web apps with React.js and TypeScript, and built reusable components that accelerated deployment across multiple client projects. Beyond professional work, I enjoy solving algorithmic challenges — ranked 2397 (Guardian) on LeetCode and Expert on Codeforces — which fuels my structured thinking and problem-solving approach in production systems. I’m driven by the intersection of backend engineering, AI integration, and search optimization, and I’m always eager to collaborate on projects that combine innovation, scalability, and impact. Let’s connect and explore how we can build the next generation of AI-driven systems together.

Stackforce AI infers this person is a Backend and AI Engineer specializing in Fintech and SaaS solutions.

Location: Patna, Bihar, India

Experience: 2 yrs 1 mo