Santosh Dawanse
I'm a highly experienced software engineer and AI product builder with six years of hands-on experience designing and shipping production LLM applications, agentic systems, GraphRAG, memory architectures, and…
About
I’m a highly experienced software engineer and AI product builder with six years of hands-on experience designing and shipping production LLM applications, agentic systems, GraphRAG, memory architectures, and context-aware AI companions. I’ve built trust-based, emotionally intelligent AI for consumer products and regulated pharmaceutical environments, with deep expertise in Python, LangChain, GraphQL, Neo4j, PostgreSQL, FastAPI, knowledge graphs, MoE agents, and human-in-the-loop workflows. I’m passionate about creating AI that forms genuine, persistent relationships with users and accelerates scientific outcomes.
In my work, I design and ship scalable LLM workflows, memory architectures, and agent ecosystems that balance innovation with compliance and safety. I thrive on turning complex data and real-world constraints into useful, ethical AI that users can trust and rely on over months and years.
- 10 years' experience
- Joined December 2025
Skills· 16
Languages
- NepaliFluent
- EnglishFluent
- HindiFluent
Industry experience
- Software & Internet
- Financial Services
- Professional Services
- Other
Work experience· 5 roles
Designed and owned the full context-engineering and memory architecture for an AI-driven SMS product, building a persistent memory layer that captures long-term user history, personality, intents, and emotional context; established agent-memory connections to maintain continuity and personality consistency across months.
Designed and shipped an enterprise GraphRAG chatbot that queries scientific documents, knowledge graphs, and relational data while executing regulated workflow actions with full audit-ability. Built production-grade agent memory pipeline using LangChain with human-in-the-loop validation; orchestrated a Mixture-of-Experts (MoE) agent ensemble to generate compliant regulatory documents, reducing manual effort while maintaining compliance. Built scalable LLM workflows with versioned prompts, guardrails, and traceability.
Led backend development using Go and GraphQL for a high-throughput fintech platform; designed complex MySQL queries and reporting systems to support financial reconciliation and regulatory compliance; owned core banking system modernization.
Education
Certifications and awards· 6
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