Shreya Savant
Software Developer, Research Assistant @Spokenweb
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WORK HISTORY
Software Developer, Research Assistant @Spokenweb
Montreal, QC, CA
Spearheaded the development of an SSHRC-CRSH-funded literary search engine, enabling users across 13+ Canadian universities to access digitized archives and collaborate on research- Engineered automated data ingestion pipelines in Ruby, Python, and Bash, streamlining large-scale indexing and improving processing speed by 71% while enhancing search accuracy by 20%- Deployed and maintained Linux-based servers for Ruby on Rails (Blacklight) and Apache Solr, optimizing system performance, security, and uptime- Implemented Agile development workflows with user ticketing, delivering new features, enriched metadata fields, and UI components that improved dataset discoverability and usability- Developed advanced faceting features in Apache Solr, improving data accessibility and search precision- Refined and enhanced UI components with JavaScript, HTML, and Tailwind CSS, improving platform usability, responsiveness, and accessibility- Led containerization and CI/CD modernization with Docker and GitHub Actions, automating deployments, reducing downtime, and cutting release cycles by 5x- Diagnosed, troubleshot, and resolved critical system bugs, ensuring long-term stability, reliability, and scalability.
EDUCATION
Concordia University
Master of Applied Science - MASc
D. Y. Patil College of Engineering & Technology, KASABA BAWADA
Bachelor of Technology - BTech
ABOUT SHREYA SAVANT
AI Engineer with experience developing cutting-edge AI solutions, machine learning models, and scalable data pipelines. Research and projects in natural language processing (NLP), computer vision, and cloud-based AI deployments, with a strong track record of delivering impactful projects such as AI-powered chatbots, multimodal representation models, and advanced search engines. Skilled in leveraging frameworks like PyTorch, TensorFlow, LangChain and HuggingFace, and cloud platforms such as Azure and AWS.
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