Praveen Jogi
1.5+
Years of hands-on experience
AI Context Engineer

Praveen Jogi

AI Context Engineer specializing in production-grade agentic AI and enterprise automation. Designing scalable LLM architectures with MCP integrations and advanced RAG (Pinecone, Weaviate, Milvus). Transforming AI concepts into secure, business-aligned production systems.

Profile

Languages
Telugu, English
Education
B.Tech CSE, Dhanalakshmi Srinivasan University, Trichy2021–2025.

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Tech Stack

Languages & Runtimes
FastAPIFlaskREST ArchitectureOAuth 2.0
Agent Orchestration
LangGraphCrewAIAutoGenCustom Multi-Agent Systems
Vector DBs & RAG
ChromaDBPineconeWeaviateMilvus
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"The true logic of this world is in the calculus of probabilities."

— James Clerk Maxwell

Intelligence Architecture

01

MODEL LAYER

Foundation reasoning & multimodal intelligence powering structured workflows.

GPT-4oClaude 3GeminiLlamaHuggingFace

Used in multi-agent orchestration, structured RAG, and enterprise automation.

02

API & INTEGRATION LAYER

Provider abstraction and multi-model switching via unified interfaces.

OpenAI APIAnthropic APIGemini API
Client → API Gateway → Model Provider
03

DATA & RETRIEVAL LAYER

Contextual grounding using vector search and structured retrieval pipelines.

ChromaDBPineconeWeaviateMilvusAdvanced RAG (Hybrid Search, Re-ranking, Memory)MongoDBRedisFirebase
User QueryEmbedVector SearchContext InjectionModel
04

AGENT ORCHESTRATION

Stateful, multi-step reasoning systems with graph-based execution.

LangGraphCrewAIAutoGenCustom Multi-Agent SystemsMCP (Model Context Protocol)
PlannerToolsMemoryExecutorOutput
05

BACKEND & SECURITY

Authenticated, access-controlled, production-grade APIs.

JWTFirebase AuthAPI Access ControlSecure Secret Management
RBACRate LimitingSecure Token Handling
06

PERCEPTION & DEEP LEARNING

Vision pipelines and domain-specific model training.

Deep LearningPyMuPDF (PDF reading / thumbnails)Pillow (image processing)pypdf
CNNMultimodal ProcessingEdge Inference
07

DEPLOYMENT & MONITORING

Scalable deployment with logging, monitoring and CI/CD.

LoggingCI/CDAPI Monitoring

Latency · Error Rate · Throughput · Cost

08

CLOUD INFRASTRUCTURE

Elastic compute across cloud and serverless environments.

Docker ComposeKubernetesCI/CDLogging & ObservabilityAzureGoogle CloudVercelRender

Selected Projects

Apex SaaS Framework

Apex SaaS Framework

Problem

Apex SaaS Framework is a comprehensive FastAPI boilerplate designed to eliminate the repetitive…

Solution

The framework follows a strict Clean Architecture pattern, ensuring separation of concerns and long-term…

Impact

Launch complete SaaS backends with auth and payments in minutes.; Built-in RBAC and multi-tenancy…

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More projects

AI-Based Question Generation System

GPT-4 API

Developed a robust AI system for generating educational questions using GPT-4 API, reducing manual tasks by 80%. Enhanced scalability and optimized content quality for multiple educational platforms.

Tech
GPT-4 APILangChainFlask

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