Mudit here, great to connect with you 👋
I am an AI & Machine Learning Engineer with specialized expertise in
Data Engineering, Backend Architecture, Deep Learning, and Cloud Systems.
Currently exploring AWS cloud infrastructures, distributed MLOps pipelines, and Generative AI at
Cloud That, previously architecting high-throughput REST APIs and database systems at
My Storage Space.
Outside engineering, you’ll find me training in Mixed Martial Arts (MMA), producing electronic beats and synth sound design, or exploring open-source developer tooling.
Clinical diagnostic platform integrating fine-tuned BioBERT and EfficientNet models for multi-modal clinical predictions. Architected custom RAG pipeline for unstructured biomedical literature with FastAPI and AWS Docker deployments handling 200+ concurrent requests.
Sub-10ms response latency microservice backend in Golang. Leveraged Goroutines and channel-based concurrency to scale real-time data ingestion throughput by 3.5x with automated Kubernetes orchestration, health monitoring, and 99.9% uptime.
End-to-end data processing and machine learning pipeline processing 50,000+ customer records to predict subscription churn. Engineered SMOTE class balancing and automated feature scaling, improving recall by 22% with hyperparameter tuning.
Actively exploring AWS cloud infrastructure, Data Engineering pipelines, Generative AI, and MLOps paradigms. Building scalable cloud workflows, automated data ingestion setups, and evaluating serverless architectures for cloud-native AI deployments.
Architected 10+ robust RESTful API endpoints using Django REST Framework and PostgreSQL, slashing manual data entry processing time by 40%. Implemented database indexing, query optimization, and achieved 100% test coverage with 45+ unit tests.
Deep coursework in Data Structures & Algorithms, DBMS, Big Data Analytics, Cloud Computing, Operating Systems, Computer Networks, and Natural Language Processing. Active Event Coordinator at Respawn Club managing technical events.