Vedant Pai
1.5+
Years of hands-on experience
AI Context Engineer

Vedant Pai

AI Context Engineer focused on production-ready Generative AI and multi-agent backend systems. Designing scalable LLM architectures with FastAPI, RAG, and LangChain/CrewAI. Emphasis on clean design, observability, and secure deployment.

Profile

Languages
Marathi, Gujarati, Konkani, English, Hindi
Education
M.Tech CSE, Vellore Institute of Technology, ChennaiAI-ML2024–PresentCGPA: 8.73 CGPA: .
B.Tech CSE, ITM SLS Baroda University, VadodaraAI2024CGPA: 8.15 CGPA: .

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Tech Stack

Agent Orchestration
LangGraphMulti-Agent (Planner / Executor / Verifier)ReAct PipelinesCustom Agent Workflows
Vector DBs & RAG
ChromaDBRAG PipelinesRetrieval + Validation Layers
Storage
MongoDB
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"Prompting is fun. Architecting the system behind it is where the real work begins."

— Vedant Pai

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.

ChromaDBRAG PipelinesRetrieval + Validation LayersMongoDB
User QueryEmbedVector SearchContext InjectionModel
04

AGENT ORCHESTRATION

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

LangGraphMulti-Agent (Planner / Executor / Verifier)ReAct PipelinesCustom Agent WorkflowsStructured Prompt Engineering
PlannerToolsMemoryExecutorOutput
05

BACKEND & SECURITY

Authenticated, access-controlled, production-grade APIs.

REST ArchitectureMicroservicesJWT / RBACAPI Access ControlOutput Validation
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.

AWS (EC2 / Lambda)

Selected Projects

1 / 10
Content Phase - The Ultimate AI Social Media Manager

Content Phase - The Ultimate AI Social Media Manager

Problem

Content Phase is a comprehensive platform that replaces the need for a social media agency.

Solution

The platform uses a layered microservices architecture designed for scale and reliability.

Impact

Reduced content creation from 2 hours to 5 minutes per post — 217+ hours saved monthly;…

Click to view details and links

More projects

A personalized SaaS Companion for Psychological Insight and Productivity

Llama

Designed to enhance mental well-being and productivity through behavioral analysis of users. Personalized recommendations served based on the user's psychological profile.

Tech
LlamaOpenAIMySQLPrisma

Deep Dive Case Studies

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

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