Vasu M
@vasum
AI & ML undergraduate building end-to-end ML systems, optimized models, and scalable deployments.
What I'm looking for
I am an AI and Machine Learning undergraduate with hands-on experience designing, building, and deploying end-to-end ML systems. I have developed real-time inference systems, data preprocessing pipelines, and containerized applications, and I focus on model optimization, evaluation using industry-standard metrics, and scalable architecture.
My projects include a memory-optimization runtime with a real-time visualization dashboard, a text-to-image generation engine using diffusion models with a low-latency inference pipeline, and a misinformation detection system trained on 18,000+ records. I continuously implement modern ML research techniques and have strong foundations in deep learning, NLP, REST APIs, Docker, and cloud inference.
Experience
Work history, roles, and key accomplishments
Machine Learning Intern
VIT-AP University
Built and deployed end-to-end ML systems including a memory optimization tool, a text-to-image diffusion engine, and a misinformation detection pipeline, reducing memory consumption by 25% and inference latency by 30%.
Education
Degrees, certifications, and relevant coursework
VIT-AP University
Bachelor of Technology, Computer Science and Engineering (AI & ML)
Grade: 7.98/10.0
Activities and societies: Relevant coursework and projects in ML/NLP, diffusion models, model optimization, Docker deployment, and REST API integration.
Pursuing Bachelor of Technology in Computer Science and Engineering (AI & ML) with coursework in Data Structures, Algorithms, Machine Learning, Deep Learning, NLP, and Database Systems; expected graduation May 2028.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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