Majeed Zeeshan
1.5+
Years of hands-on experience
AI Context Engineer

Majeed Zeeshan

AI Engineer building production-grade AI platforms powered by LLMs, RAG pipelines, and agent orchestration. Designing scalable, API-first systems with vector databases and cloud-native backends for real-world scale.

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Languages
English, Hindi
Education
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Tech Stack

Agent Orchestration
LangGraphCustom Agent WorkflowsOpenRouter APIStructured Prompt Engineering
Vector DBs & RAG
FAISSChromaDBRAG Pipelines
Backend & Auth
ReactAPI IntegrationsPostgreSQLMongoDB
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Certifications

Claude 101Claude MCPClaude Code in Action

"AI is valuable when it's deployable, secure, and aligned with real business outcomes — not just impressive in a demo."

— Majeed Zeeshan

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.

FAISSChromaDBRAG Pipelines
User Query→Embed→Vector Search→Context Injection→Model
04

AGENT ORCHESTRATION

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

LangGraphCustom Agent WorkflowsOpenRouter APIStructured Prompt Engineering
Planner→Tools→Memory→Executor→Output
05

BACKEND & SECURITY

Authenticated, access-controlled, production-grade APIs.

ReactAPI IntegrationsPostgreSQLMongoDBMulti-Tenant SaaSOAuth2RBACAPI Access Control
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.

AWSAzureGCPCI/CD

Selected Projects

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Deep Dive Case Studies

Narratives of engineering journeys, from architectural decisions to deployment challenges.

Real-Time Voice Agent with RAG

Real-Time Voice Agent with RAG

A real-time, voice-powered Retrieval-Augmented Generation (RAG) agent that responds conversationally using speech recognition, LLM reasoning, and speech synthesis.

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