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class RaviSinghKalakoti:
def __init__(self):
self.role = "AI Engineer & Full-Stack Developer"
self.experience = "5+ years"
self.current_focus = "AI Agents & Autonomous Workflow Systems"
self.stack = [
"Python", "Django", "React",
"LLMs", "LangChain", "LangGraph",
"RAG", "Vector DBs",
]
self.location = "India"
def say_hi(self):
print("Thanks for stopping by — let's build something intelligent! 🚀")- 🔭 Currently building AI Agents & Autonomous Workflow Systems
- 🤖 Working with LLMs, LangChain, LangGraph, Vector Databases, Embeddings & Agentic RAG pipelines
- 🕸️ Designing stateful multi-agent workflows with LangGraph and tool-calling agents with LangChain
- 🧩 Building production-ready Django REST APIs + React frontends + AI integrations
- 📊 Passionate about Data Analytics, AI Automation & Scalable Backend Systems
- 🌱 Currently leveling up on multi-agent orchestration & LLM tool-calling
- 💬 Ask me about Python, Django, React, REST APIs, AI Agents, LangChain, LangGraph, Ollama, ChromaDB
- 📫 Reach me at ravikalakoti16@gmail.com
- ⚡ Fun fact: I love turning complex AI systems into simple, usable apps 😄
Languages & Frameworks
Databases & Tools
| Area | Details |
|---|---|
| 🧠 LLMs & Agents | Ollama (LLaMA3, Mistral), OpenAI APIs, LangChain Agents, Tool/Function Calling |
| 🕸️ Agent Orchestration | LangGraph (stateful graphs, multi-agent workflows), LangChain chains & tools |
| 🔍 Embeddings | Sentence Transformers, Ollama Embeddings |
| 📦 Vector DB | ChromaDB |
| 🧩 Architecture | RAG (Retrieval Augmented Generation), Agentic RAG, Multi-Agent Systems |
| ⚙️ Backend AI | Django + DRF + Async pipelines |
| 📄 Document AI | PDF/DOCX parsing + semantic chunking |
| Dec 2020 – Present |
🏢 Python Django Developer — Technoarch Softwares PVT LTD • Working on production REST APIs (Bcrumbly, FundCogito) • Building scalable backend systems using Django + DRF • Integrating AI features and agent-based workflows (LangChain, LangGraph) into backend systems • Data analysis using Pandas & visualization tools |
| Mar 2024 – Feb 2025 |
🧑💻 Freelance Developer — Veridoc HR • Built REST APIs for HR automation platform • JWT Authentication & Role-based access control • Optimized database performance & queries • Delivered production-grade backend solutions |
- 🎓 B.Tech — Uttarakhand Technical University (2019)
- 🎓 Python/Django Certification — Ducat, Noida (2020)
- 🏅 Python & Django Development Certification — Ducat, Noida
- 🏅 5+ years of professional experience delivering production backend systems
- 🏅 Built and shipped multiple client-facing REST API platforms (Bcrumbly, FundCogito, Veridoc HR)
- 🏅 Self-driven AI/ML upskilling — RAG systems, embeddings, LangChain & LangGraph agentic workflows
| Project | Description |
|---|---|
| 🧠 AI Agents Platform (current) | Autonomous task & workflow execution using multi-agent orchestration with LangGraph + LangChain |
| 📄 AI Document Chat App | RAG-based chat over documents using ChromaDB + Ollama + LangChain |
| 🔍 Semantic Search Engine | Search built on sentence embeddings |
| 📊 AI Resume Analyzer | Automated resume parsing & scoring (in progress) |
| Project | Description |
|---|---|
| 🧑💼 Job Portal System | Full-stack portal built with Django + React |
| 💬 Real-Time Chat App | WebSocket-powered live messaging |
| 📇 CRM / INSTACOPY System | Customer relationship management tool |
| 🏫 College ERP System | End-to-end college management platform |
| 🎓 Student Management System | Desktop app built with Tkinter |
| Project | Description |
|---|---|
| 📈 Sales Data Analysis | Insights and trends using Python + Pandas |
| 📉 Visualization Dashboards | Interactive dashboards using Matplotlib/Seaborn |
- 🔹 Veridoc HR — REST API Development
- 🔹 VDGPasskit — Digital Pass + Google Wallet Integration