| Project | Domain & Architecture | Core Stack |
|---|---|---|
| 🎙️ voice-ai-low-latency-agent | Real-Time Low-Latency Voice AI Agent & Speech RAG Pipeline (Sub-380ms TTFA) | Python WebRTC Whisper LoRA (STT) Streaming TTS Qdrant |
| 🏥 clinical-ai-medical-rag-assistant | Clinical AI Scribe, Multimodal Medical Imaging Diagnosis & HL7 FHIR R4 / SOAP System | Python Medical VLM FHIR R4 ICD-10 NER Safety Guardrails |
| 🔄 agentic-rag-langgraph-pipeline | Stateful Corrective & Hybrid Agentic RAG with Reciprocal Rank Fusion (RRF) | LangGraph Qdrant Hybrid RRF Claude Sonnet FastAPI |
| ⚒️ multi-agent-mcp-orchestrator | Multi-Agent LLM Orchestration Platform with Model Context Protocol (MCP) Server Bus | MCP Multi-Agent Anthropic Tool-Use JSON-RPC 2.0 Docker |
| ⚡ llm-finetuning-eval-pipeline | 4-Bit QLoRA / LoRA SFT Post-Training Pipeline & Automated CI/CD Quality Gate | PEFT / LoRA TRL SFTTrainer P01-P12 Diagnostics GitHub Actions |
🚀 Building Production AI Agent Harnesses • Native LLM Tool-Calling Pipelines • Scalable Full-Stack Systems
I am a software engineer specializing in Autonomous AI Agents, Generative AI systems, and full-stack architecture. I build robust, production-grade agentic harnesses from first principles—combining multi-turn ReAct reasoning loops, dynamic tool reflection, and durable memory layers with high-performance Python and MERN backends.
- 🔭 Current Focus: Autonomous AI Receptionists, Multi-Agent Coordination, and Scalable Full-Stack SaaS Platforms.
- 🧠 Specialized In: ReAct Agent Loops, LLM Function Calling, Dynamic Schema Generation, and Durable Memory Stores.
- ⚡ Core Engineering Values: First-principles design over framework bloat, defensive error handling, and 100% deterministic testability.
- 💬 Ask Me About: AI Agent Architectures, Python / FastAPI, MERN Stack (React, Node, Express, MongoDB), and REST APIs.
| Category | Technologies & Tools |
|---|---|
| AI & Agentic Systems | Google Gemini API • OpenAI GPT-4o • Ollama • ReAct Agent Loops • Function Calling • Prompt Engineering |
| Backend Engineering | Python • FastAPI • Node.js • Express.js • REST APIs • Pydantic • httpx • WebSockets |
| Frontend Development | React.js • JavaScript (ES6+) • TypeScript • HTML5 / CSS3 • Tailwind CSS • Redux |
| Databases & ORM | PostgreSQL • MongoDB • Redis • SQLite • Mongoose • SQLAlchemy |
| DevOps & Testing | Docker • Docker Compose • Git / GitHub • pytest • CI/CD Pipelines • Linux |
Production-Grade AI Receptionist built from First Principles (Zero Framework Bloat)
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An autonomous AI receptionist capable of conversational table bookings, real-time availability checks,
dietary filtering, food pre-ordering, and personalized recommendations using durable customer memory.
- 🔄 Autonomous ReAct Loop: Multi-turn reasoning engine that safely chains availability checks, table bookings, and food orders in sequence.
- 🛠️ 16 Specialized Tools: Python reflection decorator (
@tool) that dynamically generates schemas from type hints with defensive fault recovery. - 🧠 Durable Memory Engine: Persists customer preferences (seating, allergies, favorites) and past order history into the backend database.
- 🧪 100% Deterministic Testing: 56 unit tests utilizing
StubLLMandMockAPIfixtures running in<0.4swith zero real LLM costs.
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A full-stack AI SaaS application featuring modern UI components, subscription billing workflows, and generative AI integrations for automated content workflows.
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🌦️ Weather App
Real-time meteorological web application consuming dynamic weather APIs to deliver accurate climate forecasts, temperature metrics, and geolocation lookups.
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Cryptographic utility for generating highly secure, customizable passwords with entropy controls (symbols, digits, casing, length) and one-click clipboard copy.
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A collection of web applications, REST backend services, and algorithmic problem-solving implementations built with clean code and modern standards.
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Open to AI Engineering roles, freelance agent development, and high-impact full-stack opportunities.
© 2026 Shubham Singh. Crafted with precision & clean architecture.