MODEL LAYER
Foundation reasoning & multimodal intelligence powering structured workflows.
GPT-4oClaude 3GeminiLlamaHuggingFace
Used in multi-agent orchestration, structured RAG, and enterprise automation.
1.5+
Years of hands-on experience
AI Context Engineer
Rahul Patil
AI Context Engineer focused on designing structured intelligence systems for Large Language Models. I work on building reliable context pipelines, retrieval frameworks, and orchestration layers that make AI systems accurate, scalable, and production-ready.
Tech Stack
Agent Orchestration
LangGraphCustom Agent WorkflowsMulti-Agent OrchestrationFine-Tuned Model Integration
Vector DBs & RAG
ChromaDBRAG PipelinesContext PipelinesValidation & Grounding Layers
Storage
PostgreSQL
Certifications
"What we know is a drop, what we don't know is an ocean."
— Rahul Patil
Intelligence Architecture
API & INTEGRATION LAYER
Provider abstraction and multi-model switching via unified interfaces.
OpenAI APIAnthropic APIGemini API
Client → API Gateway → Model Provider
DATA & RETRIEVAL LAYER
Contextual grounding using vector search and structured retrieval pipelines.
ChromaDBRAG PipelinesContext PipelinesValidation & Grounding LayersPostgreSQL
User Query→Embed→Vector Search→Context Injection→Model
AGENT ORCHESTRATION
Stateful, multi-step reasoning systems with graph-based execution.
LangGraphCustom Agent WorkflowsMulti-Agent OrchestrationFine-Tuned Model Integration
Planner→Tools→Memory→Executor→Output
BACKEND & SECURITY
Authenticated, access-controlled, production-grade APIs.
REST ArchitectureJWTOutput Validation Layers
RBACRate LimitingSecure Token Handling
PERCEPTION & DEEP LEARNING
Vision pipelines and domain-specific model training.
Deep LearningPyMuPDF (PDF reading / thumbnails)Pillow (image processing)pypdf
CNNMultimodal ProcessingEdge Inference
DEPLOYMENT & MONITORING
Scalable deployment with logging, monitoring and CI/CD.
LoggingCI/CDAPI Monitoring
Latency · Error Rate · Throughput · Cost
CLOUD INFRASTRUCTURE
Elastic compute across cloud and serverless environments.
AWS
Selected Projects
1 / 8
Triverse Academy - Full-Stack Learning Platform
Problem
Triverse Academy addresses the challenge of delivering diverse educational content through a…
Solution
The platform uses a modern three-tier architecture: React frontend (Vite + TailwindCSS), FastAPI backend with…
Impact
Handles multiple learning paths with unified authentication and content management; Automatic…
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More projects
Urban Route Optimization Using GNN With OpenStreetMap Data
Developed a route optimization system using OpenStreetMap data, OSMnx, NetworkX, and a GNN model built with DGL, trained on traffic and road data. PyTorch and TensorFlow were used; evaluation showed performance improvements over traditional algorithms.
Deep Dive Case Studies
Narratives of engineering journeys, from architectural decisions to deployment challenges.
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