Deepak Vig
Senior Software Engineer @Thoroughcare
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WORK HISTORY
Senior Software Engineer @Thoroughcare
Vancouver, BC, CA
ThoroughCare simplifies Care Management with intuitive, clinician-friendlysoftware revolving around patient-centered care plans and Medicare reimbursement.My contributions:• Developing applications using Ruby on Rails, Vue, and PostgreSQL• Collaborated with project managers to select ambitious, but realistic coding milestoneson pre-release software project development.• Participated in software field testing to verify the performance of developed projects.• Revised, modularized, and updated old code bases to modern development standards,reducing operating costs, and improving functionality.• Involved in code Reviews.• Implemented multiple features that Customers are using.
EDUCATION
IIIT-Hyderabad
Bachelors of Technology, Computer Science
SKILLS
ABOUT DEEPAK VIG
I’m a software engineer with deep experience in Ruby on Rails and Python, combined with a growing focus on LLM-powered applications using Ollama Cloud. My passion lies in building scalable, intuitive software that combines strong backend architecture with cutting-edge AI to deliver real business value.Over the years, I’ve built and maintained production-grade Rails applications across healthcare, enterprise, and education domains—owning features end-to-end from database design and API development to frontend integration with Vue.js and React. I’ve worked on high-impact projects including secure workflows, complex dashboards, and third-party API integrations.More recently, I’ve been working hands-on with Ollama Cloud, leveraging open-source large language models (LLaMA 3, Mistral, Gemma, Code LLaMA) to build practical, LLM-powered tools:Key Areas of Expertise: • Ruby on Rails (12+ years): RESTful APIs, background jobs, performance tuning • Ollama Cloud: running & integrating LLMs at scale with low latency • LangChain, LlamaIndex, RAG architectures with Vector DBs (Chroma, Weaviate) • Frontend: Vue.js, React, Tailwind • DevOps: Docker, GitHub Actions, deployment pipelinesLLM Use Cases Delivered: • AI assistant embedded in internal tools (Python + Ollama) • Auto-summarization pipelines for customer support tickets • Chatbots with document retrieval using LangChain + Ollama • Rapid prototyping of vertical copilots (healthcare, education, finance)I thrive in collaborative, product-driven teams that value clean code, thoughtful UX, and fast iteration. Whether scaling a Rails app or integrating an LLM to unlock new user experiences, I bring a strong technical foundation and a bias toward building things that work.
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