AI/ML, React, Next.js ,Node.js, PostgreSQL, MCP, AWQ

She is an AI/ML & Full-Stack Engineer with over 2 years of experience. Currently, she is a Full-Stack Engineer at XXXX, where she leads the technical transformation of music education through AI-powered feedback. She architected and published a SwiftUI app on the App Store that analyzes student performances for pitch, dynamics, and rhythm. She also headed the R&D of a high-performance Optical Music Recognition engine. By pivoting from basic CV solutions to Transformer architectures, she optimized the translation of sheet music images into digital formats with elite precision. She designed a task-queue-based backend using async/await concurrency, ensuring the system handles heavy audio processing pipelines without compromising user responsiveness. And she implemented a Model Context Protocol (MCP) server, making app data (performance metrics and sheet music) accessible to external AI workflows. Before this, she was at XXXX as a AI/ML Engineer where she focused on high-security AI implementations for the network engineering sector. She successfully deployed LLMs fully on-premise to satisfy strict data residency and security requirements, ensuring zero leakage of sensitive network data. She also built a sophisticated Retrieval-Augmented Generation pipeline using domain-aware chunking and hybrid search with reranking to navigate complex vendor manuals and network documentation. And she developed dynamic prompt strategies that inject network topology and security requirements into LLM queries to generate validated production configurations.

2.       What skill(s) / experience would you self-describe as strongest or specialist in?  

Strongest skills aside from her technical would be she is quite comprehensive or in terms of development, she prefers for the breadth because personally, she is fast learner into picking up new things. She has the capacity to always be like innovative or when there’s some sort of assisting solutions, then she always thinks what can be better. And this quality helps her to continue to sharpen her technical skills at the same time also compliment her teammates in a very specific way.

3.       Do you have the lists of key criteria’s according to the clients’ requirements?

She is an AI/ML & Full-Stack Engineer with over 2 years of experience. She is highly proficient in the required stack, including React, Next.js, Node.js, and PostgreSQL. She has architected scalable task-queue-based backends using async/await concurrency for non-blocking processing pipelines.  She built a production RAG pipeline using domain-aware chunking and hybrid search with reranking. Additionally, she has experience with on-premise LLM deployment to satisfy strict data residency and security requirements. She has also expertise in prompt engineering with dynamic context injection and has implemented Model Context Protocol (MCP) servers to surface app data to external AI workflows. And she is skilled in optimizing models for specific hardware constraints using QLORA, AWQ, and Post-Training Quantization (achieving 70% model size reduction).