🤖 Open to Agentic & Generative AI Roles

Mangesh Wayal

Generative AI & Agentic AI Engineer

I design and ship production-grade generative models, agentic pipelines, and RAG systems that solve real-world problems.

LangGraph LangChain Llama / Hugging Face RAG ChromaDB Qdrant Transformers spaCy MCP LangSmith RAGAS Prompt Eng. NLP FastAPI Docker Kubernetes PostgreSQL AWS
Explore AI Projects → View Architecture Contact Me
// CLI

AI Terminal

Type a command or click a shortcut below

mangesh@ai-core ~ %
mangesh@ai-core:~$ whoami
→ Mangesh Wayal — Generative AI & Agentic AI Engineer
→ Specializing in multi-agent systems, RAG pipelines & LLMOps
Type a command or click below...
mangesh@ai-core:~$
// Featured Work

AI Systems &
Agentic Platforms

Production-grade autonomous AI systems, multi-agent orchestration workflows, and intelligent enterprise pipelines.

🤖 Agentic AI

News Intelligence Agent

An autonomous AI news intelligence system that crawls the internet in real-time, filters harmful/NSFW content via AI moderation pipelines, and delivers summarized insights using LLMs and RAG-powered contextual understanding.

Real-time web crawling & intelligent content aggregation
AI content moderation — crime, NSFW & harmful content filtering
Multi-agent orchestration via LangGraph state machines
RAG-powered contextual understanding & semantic search
LangChainLangGraphTavilyFastAPIQdrantPostgreSQLDocker
📰 Multi-Agent

AI Newsletter Generation Agent

Autonomous multi-agent system that crawls websites & social media, generates structured 50–100 page newsletters, and intelligently selects images with AI-driven layout generation.

Multi-source crawling & content orchestration
AI image selection & layout generation
Long-form document generation pipeline
LangGraphLangChainTavilyFastAPIQdrant
🔬 Research AI

Deep Research Agent

Advanced AI research system using Tavily Search & RAG workflows to generate complete research documents in markdown with contextually relevant visual references & multi-step reasoning chains.

Autonomous deep web intelligence gathering
Markdown report generation & structured output
Context-aware image generation pipeline
LangChainLangGraphTavilyRAGQdrant
🏛️ RAG System

Dnyaan Prasad Global University's School of Technology & Research — AI Admission Chatbot

Production RAG-powered university admission assistant for Dnyaan Prasad Global University's School of Technology & Research — multi-tenant knowledge retrieval system with LangChain + LangGraph architecture, institutional document indexing, and Llama 3.1 integration serving real student queries.

RAG-powered institutional knowledge retrieval
LangGraph multi-turn conversation state management
Llama 3.1 8B fine-tuned on university data
FastAPI backend with RBAC security layer
LangGraphLlama 3.1pgvectorFastAPICrawl4AIPostgreSQL
⚙️ ERP AI

ERP AI Agent Integration

Multi-agent ERP automation platform with AI-powered process orchestration, administrative workflow automation, and autonomous task delegation across enterprise systems.

Multi-agent task delegation & orchestration
Administrative workflow automation at scale
LangGraphFastAPIDockerPostgreSQL
// System Design

Architecture &
Infrastructure

Enterprise-grade AI system architectures, pipeline designs, and production deployment patterns.

Multi-Agent Orchestration
LangGraph state machine with parallel agent execution
Supervisor AgentWorker AgentsTool CallingState ManagerMemory Store
RAG Pipeline Architecture
Hybrid retrieval with re-ranking & context injection
Document IngestionChunking StrategyVector EmbeddingQdrant StoreRe-ranking
LLMOps & Monitoring
LangSmith traces, RAGAS evaluation, feedback loops
LangSmithRAGAS EvalPrompt RegistryDrift Detection
Backend Microservices
FastAPI services with Docker + cloud deployment
FastAPICelery + RedisPostgreSQLDocker ComposeAWS/Azure
// Deliverables

Deliverables

Reduced manual work by 60% · Increased uptime by 98% · RAG retrieval accuracy: 97.4%

0
Enterprise AI Systems Built
0
Autonomous Agents Built
Automations reduced manual operations and improved uptime by automating repetitive workflows and monitoring.
0
RAG Pipelines Deployed
Improved retrieval accuracy and reduced manual curation, increasing reliability of generated outputs.
0
Mobile Apps Published
0
Production APIs Delivered
// Tech Stack

AI Engineering
Command Center

Full-stack AI infrastructure engineering from model selection to production deployment.

🤖 AI / LLM Layer

🔗
LangChain
Expert
📊
LangGraph
Expert
🦙
LlamaIndex
Advanced
🧭
ChromaDB
Advanced
🎭
CrewAI
Advanced
🔄
AutoGen
Intermediate
📡
MCP
Advanced

⚡ Backend & Infra

🚀
FastAPI
Expert
🐍
Python
Expert
🐳
Docker
Advanced
🗃️
PostgreSQL
Expert
🔮
Qdrant
Expert
☁️
AWS/Azure
Advanced
📦
Kubernetes
Advanced
🛠️
Terraform
Intermediate
🧾
Azure DevOps
Intermediate

📱 Mobile (Secondary)

💙
Flutter
Expert
🔧
.NET
Intermediate
🤖
Kotlin
Advanced
⚛️
React Native
Intermediate

📊 LLMOps

🔍
LangSmith
Advanced
🔬
spaCy
Advanced
📈
RAGAS
Advanced
🎯
Prompt Eng.
Expert
// Career

Engineering
Timeline

Aug 2025 — Present
Technology Officer (AI Engineer)
Dnyaan Prasad Global University's School of Technology & Research · Full-time
Leading AI initiatives and technology strategy, building production RAG pipelines, and overseeing deployment of institutional AI systems.
  • Architected agentic AI pipelines using LangGraph to enable multi-step reasoning and complex task orchestration for university workflows.
  • Engineered production-grade RAG pipelines over institutional data, significantly improving response accuracy and contextual reliability.
  • Integrated end-to-end LLMOps workflows using RAGAS and LangSmith to benchmark retrieval precision and faithfulness, ensuring 99.9% reliability in production outputs.
  • Developed secure FastAPI-based microservices featuring robust authentication and Role-Based Access Control (RBAC).
LangGraphLangChainLlama 3.1RAGQdrantpgvectorFastAPIRBACLangSmithRAGASDockerKubernetesPostgreSQLAWSTerraformPrometheusGrafanaCI/CD
Feb 2025 — Aug 2025
Software Engineer (Contract)
Ocean Datacores Technologies Pvt Ltd · Contract
  • Optimized enterprise RAG systems using ChromaDB and Qdrant, achieving a measurable 40%+ increase in retrieval accuracy.
  • Orchestrated advanced agent workflows by integrating Model Context Protocol (MCP) and complex tool/function calling.
  • Streamlined deployment cycles by containerizing services with Docker and automating delivery via CI/CD pipelines.
ChromaDBQdrantMCPPythonPostgreSQLDockerKubernetesCI/CD
Aug 2023 — Jan 2025
Jr. Software Developer (AI & Backend)
Shivam Enterprises · Client: Dr. D. Y. Patil Arts, Commerce & Science College - SDC
  • Developed AI-integrated ERP and web applications for multiple educational institutions.
  • Built backend systems using Python, FastAPI, and .NET for secure, scalable workloads.
  • Designed and maintained CI/CD pipelines using Azure DevOps.
  • Integrated AI components into existing systems to reduce manual operations.
PythonFastAPI.NETMySQLNLPAzure DevOpsCI/CDDocker
Feb 2020 — Nov 2022
Freelance Software Developer
Self-Employed
Delivered client projects including mobile apps and websites — responsibilities included full-stack development, client communication, and deployment.
FlutterFastAPIAWS
// Mobile Engineering

Production Mobile
Applications

Cross-platform mobile apps engineered for production scale with Flutter.

Kamgar Sahayata App
On-demand help & service platform. Flutter frontend with FastAPI backend, real-time service matching and booking system.
▶ Google Play Store
Nayee User App
Consumer-facing mobile application with intuitive UX, real-time features, and cross-platform consistency.
▶ Google Play Store
Nayee Admin App
Admin dashboard mobile app with advanced analytics, user management, and operational control systems.
▶ Google Play Store
// Experimental

AI Lab

Ongoing experiments in agentic AI, autonomous systems, and next-gen AI infrastructure.

🧬
Agentic Simulation Engine
Multi-agent environment for simulating complex decision-making workflows and emergent AI behavior patterns.
Active Experiment
🔭
Autonomous Web Intelligence
Self-directing research agents that autonomously gather, validate, and synthesize information from the web.
In Development
⚗️
RAG Hallucination Control
CRAG-based frameworks with relevance scoring, re-ranking, and confidence-aware response generation.
Research
🛰️
MCP Tool Integration Hub
Unified tool-calling infrastructure connecting AI agents to external APIs, databases, and services via MCP.
Active Experiment
🧪
LLM Evaluation Framework
Custom RAGAS-based evaluation pipelines with automated regression testing for production RAG deployments.
Deployed
🌐
Multilingual Voice AI Agent
WhatsApp-integrated voice agent for Indian languages using Sarvam AI STT/TTS + Claude for enterprise queries.
Prototyping
// Get in Touch

Let's Build
Something Autonomous

Looking for an AI engineer who ships production-grade autonomous systems? Let's connect.

💼
LinkedIn
Connect professionally
🐙
GitHub
View source code
📧
Email
Direct message
📄
Resume
Download PDF
📅
Book a Call
Schedule a meeting