Madhurima Sit — Software Engineer

I build intelligent, scalable backend systems and I'm now bringing that engineering foundation into the world of AI. With hands-on experience in Agentic AI, RAG pipelines, and LLM-powered systems,combined with a strong backend background in Python,Java/SpringBoot ,Node.js and AWS, I sit at the intersection of reliable software engineering and cutting-edge AI development. What I bring to the table : Customer-Facing Technical Engagement: I lead discovery conversations, technical pilots, and solution demos ,translating complex engineering capabilities into clear, practical value for developers, business leaders, and non-technical stakeholders alike. Goal-Driven Execution: I keep projects on track through disciplined execution and proactive communication thus ensuring customer outcomes are delivered on time and exceed expectations. AI & GenAI: Retrieval-Augmented Generation (RAG), Agentic AI Systems,LLM integration, Prompt Engineering, Generative AI workflows Backend Engineering: Python · Java/Spring Boot ·Node.js · REST APIs · High-traffic system design Cloud & DevOps:AWS · Docker · Terraform · CI/CD pipelines · Scalable distributed systems Databases: MySQL · MongoDB · PostGreSQL · Optimized data modeling for high-performance applications What makes me different: Most AI engineers lack deep backend roots. Most backend engineers haven't touched AI. I'm building at both ends which means I can design AI systems that are not just intelligent, but actually production-ready, scalable, and maintainable. More importantly, I understand that technology only creates value when it solves real human problems. I partner with customers, engineers, and business leaders with empathy by listening first, then shaping solutions that actually fit their goals. I've designed and developed proof-of-concept AI systems including agentic workflows and RAG-based implementations, and I understand the full stack required to take these from idea to deployment. If you're building AI-native products, integrating LLMs into enterprise workflows, or need someone who can speak both engineering and business — let's talk. 📩 Open to connecting with engineers, recruiters, and technical leaders shaping the future of AI.

Stackforce AI infers this person is a Backend Engineer transitioning into AI-focused roles with a strong foundation in scalable systems.

Experience: 1 yr 5 mos