DIR · CONTACT / 2026
Online
Gaurav Patil
Agentic AI Engineer & LLM Specialist
Location
India · Remote-friendly
Portfolio
Status
Available for roles & builds
Gaurav Patil
CraftingintelligentExperiences
Crafting
Experiencesintelligent
Agentic AI Engineer · LLMs, Agents & RAG
Architecting autonomous AI agents, multi-agent workflows, and enterprise RAG systems with LangGraph, CrewAI, and modern LLM orchestration.
Agentic AI
LLMs & RAG
Autonomous Systems
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// Welcome to my portfolio
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name: "Gaurav Patil",
role: "Agentic AI Engineer",
focus: ["LLM AI Agents", "Agentic Systems", "RAG Pipelines", "Autonomous Workflows"],
openFor: ["Full-time", "AI Engineering", "Consulting"],
motto: "Architecting autonomous agents and resilient AI systems",
available: true,
};
export default developer;
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Available to Build
About
Engineering next-gen Agentic AIFocus
Hi, I'm Gaurav Patil, an Agentic AI Engineer specializing in architecting autonomous LLM agents, multi-agent systems, and production RAG pipelines. I build intelligent solutions that reason, execute tools, and solve complex problems at scale.
Agentic AI Systems
LLM & RAG Solutions
Autonomous Workflows
Career Journey
Work ExperienceActive
A scroll-animated timeline of my journey architecting autonomous AI agents, enterprise RAG systems, and intelligent solutions.
2026 · Present
2026 · Present
Agentic AI Engineer
Full-timeActive RoleDigital Health Associates Pvt. Ltd•Jun 2026 – Present (4 mos)•Remote
Leading the architectural design and deployment of autonomous agentic systems, multi-agent collaboration frameworks, and tool-augmented LLM orchestration pipelines.
Architected multi-agent collaborative graphs using LangGraph and CrewAI for autonomous planning, deterministic routing, and multi-step task execution.
Engineered robust tool-calling and self-correcting agent execution loops with strict Pydantic schemas, validation filters, and automated fallback recovery.
Optimized context-window utilization, dynamic token pruning, and persistent state management across distributed multi-turn agent sessions.
Agentic AIMulti-Agent SystemsLangGraphCrewAITool CallingAutonomous WorkflowsStructured OutputsPython
2025 – 2026
2025 – 2026
AI Engineer
Internship6 mosDigital Health Associates Pvt. Ltd•Dec 2025 – May 2026•Remote
Built and integrated machine learning and LLM-powered solutions into enterprise systems, collaborating with engineering teams to develop scalable backend services and intelligent agents.
Constructed high-accuracy Retrieval-Augmented Generation (RAG) pipelines leveraging hybrid search, vector embeddings, and cross-encoder re-ranking for contextual precision.
Integrated vector databases (Qdrant, Chroma, Pinecone) with chunking strategies tailored for dense technical and healthcare document indexing.
Engineered scalable FastAPI microservices and asynchronous inference pipelines to serve LLM agents with low latency and streaming outputs.
RAG SystemsVector DatabasesLLMsFastAPISemantic SearchQdrantChromaDBPyTorch
2024 – 2025
2024 – 2025
Applied AI & Open-Source Research
Projects & SystemsFocus on Computer Vision, Deep Learning, and Transformer Pipelines
Designed and deployed end-to-end intelligent applications spanning aerial object detection, multimodal diagnostic assistants, and client-side neural summarization pipelines.
Developed aerial imagery analysis models using YOLOv11 for tree enumeration, reaching 92% precision with custom dataset augmentation.
Created multimodal orthopedic diagnostic system combining YOLO fracture bounding-box detection with fine-tuned Qwen-2.5 treatment suggestions.
Implemented client-side on-device Xenova transformer pipelines in Briefly (arXiv reader) for instant zero-server research paper summarization.
Computer VisionYOLOv11Deep LearningTransformersQwen-2.5Xenova PipelinesNext.jsFlask
Featured Work
Projects Built for Real UseLive
A compact selection of agentic AI systems, LLM workflows, and intelligent applications with practical architecture.
Briefly – AI-Powered arXiv Reader
A lightweight arXiv reader rebuilt in Next.js for speed and DX. It fetches papers, summarizes them with on-device Xenova pipelines, supports multi-tone summaries (Beginner / Story / Buzz), and ships an infinite-scroll explore feed with filters, related papers, reading list, and quick PDF open.
Next.jsTypeScriptTailwind CSSVercel
Radiographic X-Ray Bone Fracture Severity Detection
End-to-end orthopedic assistant: YOLO-based fracture detection on X-rays + LLM-powered treatment guidance. React UI shows annotated images, generates a PDF report, and chats about findings. Backend (Flask) runs inference and orchestrates suggestions via a fine-tuned Qwen-2.5 model. Includes hospital-nearby lookup (planned/opt-in).
FlaskPythonReactTailwindVercel
E-Store Platform
Modern e-commerce platform with secure auth, catalog, cart, orders, and admin controls. Clean Angular SPA talks to Spring Boot REST APIs with JWT. MySQL persistence and role-based access.
AngularSpring BootMongoDBTypeScriptDocker
NextCV Coach – AI-powered Career & CV Coach
SaaS platform that leverages AI to analyze, review, and enhance CVs and professional profiles with actionable, personalized feedback. Includes secure Clerk authentication, real-time editing with Aceternity UI, template previews, and PDF export. Backend powered by Next.js API routes and MongoDB with optimized SSR/ISR caching.
Next.jsTypeScriptInngestMongoDBClerk
Toolbox
Tools I Use to ShipStack
Technologies I use to build scalable and performant applications
- Angular
- NextJs
- Spring Boot
- Flask
- Node.js
- Express.js
- React
- Prisma
- Vercel
- Tailwind CSS
- Java
- C
- Python
- JavaScript
- TypeScript
- C++
- MongoDB Atlas
- PostgreSQL
- MySQL
- HTML
- CSS
Let's collaborate
Get In TouchOpen
Have a project in mind, want to build something impactful, or chat about tech? Feel free to connect directly.
Direct Outreach
Let's build something together
I'm open to new opportunities, collaborations, freelance product builds, and discussing ideas. Skip the form and reach out directly to my inbox.
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