Shishir K. — Co-Founder
I am an architect of AI systems that actually work in production. Over the past 12+ years, I've evolved from building full-stack AI applications to engineering some of the most advanced LLM systems in healthcare, fintech, and government sectors. Today, as a founding engineer at Nymble Health, I'm building AI that's transforming how patients engage with healthcare—safely, effectively, and at scale. What I specialize in: I take Large Language Models from proof-of-concept to production. That means building RAG pipelines that don't hallucinate, multi-agent systems that can reason through complex problems, and evaluation frameworks that catch issues before they reach users. I've reduced LLM hallucinations by 30%, deployed systems serving 100,000+ workers, and automated processes that previously took days down to minutes. My technical sweet spot: Working with GPT 5, Claude, and Gemini to build conversational AI systems. I'm deep into advanced RAG techniques—Agentic RAG, Graph RAG, query optimization, and reranking with Cohere 3.5. I have used frameworks like LangGraph, CrewAI, and Azure Autogen to orchestrate multi-agent workflows. My infrastructure of choice is Azure (where I'm most experienced), but I'm equally comfortable with AWS and GCP. The problems I solve: Healthcare organizations need AI that's HIPAA-compliant and clinically accurate. Government agencies need systems that scale to hundreds of thousands of users with zero downtime. FinTech companies need automation that can handle billions of transactions. I've built solutions for all of these. My approach: I don't just train models—I build complete systems. That includes data pipelines, traditional Machine Learning Pipelines, Generative AI applications, vector databases, evaluation frameworks, monitoring dashboards, and human-in-the-loop workflows. I think about security, compliance, scalability, and maintainability from day one. Beyond the code: I hold a Master's in ML & AI and multiple postgraduate certifications in Machine Learning and NLP. I've led data science teams, mentored junior engineers, and delivered projects across four continents. I'm based in Vancouver but work with distributed teams globally. Looking ahead: I'm passionate about ethical AI, especially in healthcare. I'm always exploring the latest research in LLMs and multi-agent systems. And I'm open to conversations about challenging problems that need production-grade AI solutions. I am on LinkedIn to grow more, meet people and follow LLM / NLP / ML / AI topics.
Stackforce AI infers this person is a seasoned AI architect specializing in healthcare and fintech solutions.
Location: Vancouver, British Columbia, Canada
Experience: 12 yrs 9 mos
Skills
- Large Language Models (llm)
- Generative Ai
- Natural Language Processing (nlp)
- Data Science
- Machine Learning
- Data Engineering
Career Highlights
- Expert in deploying LLMs in production environments.
- Reduced LLM hallucinations by 30% through innovative techniques.
- Led AI projects impacting healthcare, fintech, and government sectors.
Work Experience
nymble health
Lead ML Engineer | Founding Engineer (1 yr 10 mos)
Freelance
Senior Machine Learning Engineer (9 mos)
Boast.AI (Boast Capital)
Machine Learning Engineer (3 yrs 3 mos)
Stealth Startup
Data Science Consultant - NLP (1 yr)
Fokal AI
Manager of Data Science and Engineering (1 yr 11 mos)
Project Lead (1 yr 2 mos)
Machine Learning Engineer (2 yrs 9 mos)
Senior Data Engineer (1 yr 8 mos)
Torry Harris Business Solutions
Data Engineer (11 mos)
CenturyLink India
Full Stack Engineer (2 yrs)
Education
Master of Science - MS at Liverpool John Moores University
Post Graduate Diploma at International Institute of Information Technology Bangalore
PG Certification in Machine Learning & Natural Language Processing at International Institute of Information Technology Bangalore
Bachelor's degree at PES University
at DAV
Post Graduate Certification in Machine Learning and Natural Language Processing at upGrad
Post Graduate Machine Learning and NLP Prep Course Certificate at upGrad.com
