I build production-oriented AI and full-stack applications using Python, FastAPI, React, LLMs, RAG, Agentic AI, cloud platforms, and modern data engineering technologies.

My focus is on turning complex business requirements into scalable APIs, intelligent AI systems, data platforms, and user-facing applications.

• 🤖 Generative AI & LLM Applications
• 🔎 RAG & Enterprise Search Systems
• 🧠 Agentic AI & Multi-Agent Workflows
• 🐍 Python / FastAPI / Django Applications
• ⚛️ React / Next.js / TypeScript Applications
• 🔗 REST / GraphQL / Event-Driven APIs
• 📊 Data Engineering & Analytics Platforms
• ☁️ AWS & Azure Cloud Applications
• 🐳 Docker / Kubernetes / CI/CD
• 🔐 Secure & Enterprise-Grade Applications

LLMs
├── OpenAI GPT-4 / GPT-4o
├── Azure OpenAI
├── Anthropic Claude
├── Google Gemini
└── Meta Llama

AI Frameworks
├── LangChain
├── LangGraph
├── LlamaIndex
├── CrewAI
└── AutoGen

RAG
├── Semantic Search
├── Hybrid Search
├── BM25
├── Re-ranking
├── Embeddings
├── Citation Grounding
├── Agentic RAG
└── Vector Databases

Vector Databases
├── Pinecone
├── pgvector
├── ChromaDB
├── FAISS
└── Elasticsearch

AI Engineering
├── Tool Calling
├── Function Calling
├── Structured Outputs
├── Human-in-the-Loop
├── AI Guardrails
├── Prompt Engineering
├── LLM Evaluation
└── LangSmith

Python • FastAPI • Django • Flask • Django REST Framework • Pydantic • SQLAlchemy • Alembic • Celery • asyncio

React.js • Next.js • TypeScript • JavaScript • Redux Toolkit • React Query • Vue.js • Tailwind CSS • Material UI

PostgreSQL • MySQL • MongoDB • Redis • Snowflake • DynamoDB • Elasticsearch • pgvector

PySpark • Apache Spark • Databricks • Delta Lake • Apache Kafka • Apache Airflow • dbt

AWS • Azure • Docker • Kubernetes • Terraform • GitHub Actions • Azure DevOps • GitLab CI/CD

Production-style enterprise RAG architecture for querying large document collections using:

LangChain • LlamaIndex • Azure OpenAI • Pinecone • pgvector • FastAPI • PostgreSQL • Redis

Key concepts:

• Document ingestion & preprocessing
• Semantic chunking
• Embeddings
• Hybrid retrieval
• BM25 + vector search
• Re-ranking
• Citation grounding
• Conversational search
• FastAPI microservices
• Docker & Kubernetes

A multi-agent architecture demonstrating how specialized AI agents can collaborate on complex workflows.

LangGraph • CrewAI • AutoGen • Azure OpenAI • Claude • FastAPI

Architecture includes:

                    ┌──────────────────┐
                    │   User Request   │
                    └────────┬─────────┘
                             │
                             ▼
                    ┌──────────────────┐
                    │  Orchestrator    │
                    │   LangGraph      │
                    └────────┬─────────┘
                             │
              ┌──────────────┼──────────────┐
              ▼              ▼              ▼
        ┌──────────┐   ┌──────────┐   ┌──────────┐
        │ Research │   │ Analysis │   │ Validation│
        │  Agent   │   │  Agent   │   │   Agent  │
        └────┬─────┘   └────┬─────┘   └────┬─────┘
             │              │              │
             └──────────────┼──────────────┘
                            ▼
                   ┌──────────────────┐
                   │ Human-in-the-Loop│
                   └────────┬─────────┘
                            ▼
                   ┌──────────────────┐
                   │ Final Response   │
                   └──────────────────┘

Full-stack application demonstrating enterprise application architecture:

React • TypeScript • FastAPI • PostgreSQL • Redis • Kafka • Flutter • AWS

Features include:

• REST & GraphQL APIs
• Prescription workflows
• Inventory management
• Event-driven architecture
• Real-time notifications
• Authentication & authorization
• Redis caching
• PostgreSQL persistence
• React web application
• Flutter mobile application
• Dockerized services

Streaming data platform for processing high-volume IoT telemetry.

Kafka • PySpark • Spark Streaming • Databricks • Delta Lake • Snowflake • Airflow

Architecture:

IoT Devices
     │
     ▼
 Apache Kafka
     │
     ▼
Spark Streaming
     │
     ▼
Delta Lake
 ┌───┼────┐
 ▼   ▼    ▼
Bronze Silver Gold
             │
             ▼
         Snowflake
             │
             ▼
        Analytics

I'm particularly interested in:

• LLM application architecture
• Agentic AI systems
• RAG optimization
• AI evaluation & observability
• AI-powered developer tools
• Distributed systems
• Microservices architecture
• Real-time data processing
• Cloud-native applications
• Data-intensive applications
• Production AI infrastructure

Generative AI
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Agentic AI
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RAG Systems
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Cloud-Native Architecture
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Data Engineering
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System Design
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Currently deepening my knowledge of:

LLM evaluation • Agent architectures • MCP • AI observability • scalable RAG • distributed systems • cloud-native AI

LinkedIn: linkedin.com/in/shreya-j-0a635023a

GitHub: github.com/ShreyaJaiswal31

Email: sjaiswal1323@gmail.com

Build it simple. Make it scalable. Automate what can be automated. Use AI where it creates measurable value.

⭐ If you find any of my projects useful, feel free to explore the repository and leave a star.