Manpinder Singh
Machine Learning Intern @Deepsense
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WORK HISTORY
Machine Learning Intern @Deepsense
Halifax, NS, CA
Engineered a production-ready, streaming multimodal RAG chatbot for the Mi’kmaq community, achieving industry-standard <2s (Time-to-First-Token) latency.• Architected a dual-inference FastAPI backend orchestrating LangChain and Qdrant vector database with dynamic routing between AWS Bedrock and local HuggingFace LLMs.• Automated a data ingestion pipeline via Whisper (STT) and Docling (PDF) into precise semantic chunks.• Deployed a secure, scalable serverless infrastructure via AWS (S3, Lambda, CloudFormation, ECR, API Gateway, WAF), Docker for containerization and CI/CD pipelines for automated production deployments.
EDUCATION
Dalhousie University
Master's degree, Applied Computer Science
DIT UNIVERSITY
Bachelor of Technology - BTech, Computer Science
ABOUT MANPINDER SINGH
I am a Machine Learning Engineer with 3+ years of industry experience specializing in NLP, Computer Vision, and Generative AI. Currently completing my Master of Applied Computer Science at Dalhousie University, I am passionate about writing robust code, understanding AI fundamentals, and collaborating with teams to deploy scalable models.Engineering Highlights• Deployed AWS serverless computer vision pipelines serving 40K+ patients, generating $150K+ in revenue.• Built streaming multimodal RAG systems supporting 100+ concurrent users with <2s latency.• Architected a multi-agent interview simulator using Agno and ReAct loops.• Engineered dual-inference FastAPI backends and Dockerized CI/CD ML deployments.• Published 3 first-authored ML papers and mentored 5 engineers delivering production models ahead of schedule.Actively seeking full-time opportunities to turn cutting-edge AI research into scalable ML systems. m••••••••@gmail.com
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