Hi, I'm Yash. I build AI Agents that automate complex workflows 24/7.
AI Engineer helping startups and businesses turn repetitive operations into high-ROI autonomous systems — from private knowledge search (RAG) to custom multi-agent workflows and intelligent APIs.
What I Build For Businesses
I engineer practical, cost-effective AI solutions tailored to solve specific business bottlenecks — built for production reliability, not just demos.
Autonomous AI Agents & Workflows
Autonomous agent swarms that execute multi-step research, qualify leads, and handle routine customer operations 24/7.
Key Deliverables
- Multi-agent role playing & state management (LangGraph/CrewAI)
- Automated visual workflows with n8n and CRM/Slack webhooks
- Human-in-the-loop fallback controls and audit logging
Enterprise Knowledge & Document AI (RAG)
Connect internal PDFs, Notion wikis, documentation, and database tables to private, hallucination-resistant AI search.
Key Deliverables
- Hybrid semantic & keyword search (pgvector / Pinecone)
- Context compression and re-ranking for highest accuracy
- Enterprise role-based permissions and zero-data-leakage guardrails
Web Scraping & AI Data Engines
Turn complex, dynamic websites into structured, actionable JSON feeds for market intelligence and model training.
Key Deliverables
- Deep JS-rendered page extraction with Crawl4AI & Playwright
- LLM schema validation for structured data outputs
- Automated proxy rotation, anti-bot handling, and scheduled pipelines
Production AI Backends & Microservices
Scalable, low-latency API architectures built to serve AI models directly to web and mobile frontend applications.
Key Deliverables
- Asynchronous FastAPI microservices with WebSocket streaming
- Containerized deployments with Docker on GCP / AWS
- Caching, rate limiting, and cost-monitoring middleware
Have a custom AI requirement?
Let's evaluate if an AI agent, RAG pipeline, or custom model makes sense for your product.
Selected Case Studies & Systems
Production AI pipelines, multi-model architectures, and diagnostic models built for real-world impact.
Autonomous CLI Code & DevOps Agents on Cloud VMs
Headless AI coding agents deployed on remote Linux VMs to monitor logs, diagnose exceptions, and automate production hotfixes
On-Device Edge AI & Mobile Inference
Quantized local LLM and vision model deployment running entirely on-device with zero cloud latency and total privacy
Zero-Overhead Mobile-as-Server Edge Architecture
Lightweight distributed microservices running on mobile edge devices as local servers with ultra-low memory footprints
NL2SQL with Dynamic Schema Visualization
Natural Language to SQL generation engine with automated Mermaid.js entity-relationship mapping and query explanation
Autonomous WhatsApp Business AI Automation Swarm
24/7 multi-agent customer support, dynamic CRM sync, and intelligent lead qualification on WhatsApp Cloud API
Simple, Transparent 3-Step Process
From initial concept to production-ready AI — here is how I take your idea from whiteboard to reality without technical friction.
Discovery & AI Feasibility
Zero-obligation evaluation of your AI opportunities
We audit your current workflow bottlenecks, review data availability, and evaluate whether an AI agent, RAG pipeline, or workflow automation offers the highest return on investment.
- Pinpoint high-ROI automation targets
- Select the optimal model & vector database strategy
- Establish clear deliverables, cost estimates, and milestones
Rapid Working Prototype
Interactive proof-of-concept on your actual data
I build a functional prototype or interactive staging demo so you can test the AI directly with your own documents and sample queries before committing to full-scale deployment.
- Live interactive staging URL to test in real-time
- Iterative prompt engineering and accuracy benchmarking
- Direct feedback loop to refine tone and responses
Production Deployment & Guardrails
Enterprise-grade reliability with zero hallucinations
I integrate the AI into your web app, mobile app, or internal dashboard with robust guardrails, token-cost monitors, low-latency streaming, and automated error handling.
- Hallucination prevention & safety guardrails
- Containerized cloud deployment on AWS / GCP
- Complete documentation, source code handover, and ongoing support
About Me
A snapshot of my location, favorite stack, tools, and social channels.
Tech Stack
Fav. Web Framework
Fav. Automation Tool
Production Stack & Capabilities
The modern AI and infrastructure stack I use to build fast, scalable, and reliable systems.
LLM Orchestration & Agents
Autonomous multi-agent execution, state machines, and reasoning chains.
Unlocks: Autonomous multi-agent swarms, complex reasoning workflows, and custom tool calling.
Vector Search & Knowledge RAG
Semantic vector databases, hybrid retrieval, and knowledge indices.
Unlocks: Sub-second document search, private QA with zero hallucinations, and hybrid ranking.
Backend & High-Throughput APIs
Production-ready AI microservices, streaming endpoints, and dashboards.
Unlocks: Low-latency token streaming, secure client authentication, and rapid UI prototyping.
Infrastructure & Automation
Docker containers, cloud deployments, and workflow automation.
Unlocks: Predictable cloud infrastructure, automated syncs, and 99.9% production availability.
What people say about me
Aniket Mhalungekar
Jr. Frontend Developer
Yash is a fantastic team player. Whether we're tackling backend tasks, automation, or setting up AI agents, he's always ready to jump in and help out.
Ready to Turn Your AI Vision into Production?
Whether you need autonomous AI agents, NL2SQL pipelines, on-device Edge AI, or WhatsApp automations — let's evaluate your project on a 15-minute Google Meet call.
