minal A.

Designed and deployed end-to-end machine learning pipelines for both prediction and recommendation systems within scalable distributed environments, accommodating real-time and batch inference. Contributed to a recommendation system aimed at advising on medicine salts and relevant hospital departments based on patient case studies. Engineered retrieval-augmented generation (RAG) pipelines and semantic search systems utilizing LLMs, embedding models, and vector databases. Implemented data pipelines encompassing data architecture, preprocessing, and feature engineering, optimizing for high-throughput model training. Deployed intelligent systems in cloud environments, leveraging Docker and Kubernetes, while utilizing CI/CD practices to ensure MLOps and DataOps for reliability and software quality. Developed experimentation systems including A/B testing workflows to enhance intelligent applications. Integrated machine learning models into backend APIs, adhering to service-oriented software engineering principles. Employed explainable AI techniques to clarify the reasoning behind predictions and recommendations within client-facing healthcare applications.

Architected backend APIs and microservices using Python and Django, applying software architecture and quality engineering best practices in distributed software environments. Developed machine learning-powered personalization through recommendation algorithms, providing data-driven experiences in production. Created a distributed search solution utilizing Elasticsearch, focusing on efficient indexing and rapid semantic query responses. Built real-time monitoring dashboards with React and Angular for operational data visualization in enterprise systems.

Instructed underserved students in computer science, programming, and artificial intelligence, aiming to foster digital transformation in the community. Developed and delivered structured curricula alongside research-based educational materials tailored to student needs. Provided mentorship in software engineering, contributing to student success in extracurricular ventures.