9+ years engineering experience • AI-first systems • ERP, CRM, HCM, Healthcare & Finance • Azure & AWS
I am a Senior Software Engineer turned Applied AI Engineer, focused on building production-grade AI systems — not demos.
- 🧩 Agentic AI systems with tool-calling, planning, memory, and orchestration
- 📚 Enterprise-scale RAG pipelines across structured & unstructured data
- 🏥 Deep experience in Healthcare (EMR, compliance) and Financial systems
- ☁️ Strong in Azure AI Foundry, AWS Bedrock, and hybrid cloud deployments
- 🏗️ Engineering mindset: scalability, observability, security, and governance
My work bridges LLMs, classical engineering, cloud platforms, and regulated industries.
- OpenAI (GPT)
- Anthropic (Claude)
- Mistral
- Meta LLaMA
- Azure OpenAI
- AWS Bedrock Models
- LangChain
- LangGraph
- OpenAI Agents SDK
- Microsoft AutoGen
- CrewAI
- Tool-calling & function routing
- Planner-Executor agents
- Multi-agent collaboration
- Memory-augmented agents
- Human-in-the-loop workflows
- Agentic RAG (query planning + retrieval + synthesis)
- Hybrid search (BM25 + vector)
- Metadata-aware chunking
- Re-ranking & grounding
- Evaluation & hallucination control
- Structured + unstructured fusion (PDF, XBRL, SQL, APIs)
- ChromaDB
- FAISS
- Pinecone
- Azure AI Search (Vector)
- PostgreSQL (pgvector)
- Model Context Protocol (MCP)
- Tool registry & dynamic tool discovery
- Secure tool execution boundaries
- Enterprise system integration:
- Databases
- REST APIs
- Cloud services
- Internal business tools
- Streamlit (AI dashboards & copilots)
- React-based AI UIs
- Prompt-driven workflows
- Human-AI interaction design
- Observability-friendly UI patterns
- Azure AI Foundry
- Azure OpenAI
- Azure Functions
- Databricks
- Synapse Analytics
- Fabric
- Azure DevOps CI/CD
- AWS Bedrock
- S3, Lambda
- Cloud-native AI workloads
- C#, .NET 6/8, ASP.NET Core
- Python (FastAPI, PySpark)
- Microservices & APIs
- React (18+)
- Angular
- TypeScript
- SQL Server, PostgreSQL
- Snowflake
- Databricks
- Data Lakehouse architectures
- EMR & patient communication platforms
- Secure, compliant systems (EU & AU)
- AI-assisted clinical documentation & workflows
- Regulatory disclosure platforms
- AI-powered document intelligence
- XBRL / iXBRL / financial data pipelines
-
PG Degree in Artificial Intelligence
IIIT Bangalore — CGPA: 3.85 / 4.0 -
Master’s Degree (Research-Oriented, Pursuing)
Liverpool John Moores University, UK -
Continuous research focus on:
- LLM evaluation
- Agentic reasoning
- Retrieval optimization
- 🔹 Enterprise-Grade Agentic RAG Platform
- 🔹 MCP-Driven Tool-Integrated AI System
- 🔹 Healthcare AI Knowledge Copilot
- 🔹 Multi-Agent Compliance Intelligence System
(Repositories actively evolving)
- Applied AI Engineer
- Senior LLM Engineer
- Agentic AI Engineer
- AI Platform / Solutions Architect
- AI Engineer (Healthcare / Enterprise)
- LinkedIn: https://www.linkedin.com/in/manifordev
- Email: manifordev@gmail.com
⭐ I build AI systems that survive production, scale in enterprises, and earn trust.