Available for work
Sobhan Panda · AI Engineer

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Hey! I'm Sobhan's AI. Ask me anything — his projects, tech stack, experience, what he's looking for. If you want to change the AI responses, click the sidebar button on the right to open the LLM control panel.
Stack //
Python
LangChain
LangGraph
MCP
FAISS
FastAPI
HuggingFace
Transformers
Docker
MLflow
C++
JavaScript
// some of my best projects and many more yet to come 04
Agentic AI — Multi-Tool Assistant
Python · LangChain · LangGraph · FAISS · MCP

Multi-agent system routing requests across weather, Gmail, translation, web search, and math. Intent-routing, planning, memory, and self-evaluation with ChatGroq LLM.

Multi-agentLangGraphReal-time
Multi-RAG Chatbot
Python · LangChain · FAISS · HuggingFace

RAG chatbot running semantic search, knowledge graph, and BM25 simultaneously — picks the highest-accuracy answer. Ingests text, PDF, and structured data dynamically.

3 RAG algosAccuracy scoringFAISS
Avalanche-Susceptibility-Mapping-for-Vegetation-Restoration
Python · U-KAN · MUltiSSL · Earth-Engine

This project focuses on identifying barren or underutilized land suitable for vegetation restoration in both plains and hilly regions using satellite imagery and Google Earth Engine. The system analyzes geographical and environmental factors such as slope, steepness to determine areas with high restoration potential

AutoMLMLflowFastAPI
// project insights

Tech Stack
GITHUB
// Experience
Internship
Team Lead & AI Engineer
@Internpro
  • Sole AI developer — owned the complete Generative AI solution end-to-end
  • Built real-time voice AI interviewer using Web Speech API and Google Gemini
  • Designed prompt flow, conversational logic, and contextual response handling
  • Collaborated with frontend developers on HTML/CSS/JS implementation
// Education
Jaypee Institute of Information Technology
B.Tech Computer Science · Aug 2023 – May 2027
Data Structures · Algorithms · OS · Computer Security · Architecture
Modern Vidya Niketan School
Faridabad, Haryana
10th: 94.3%  |  12th: 75%
LLM Controls
Tune AI behavior in real-time
Creativity0.70
Controls randomness and creativity of responses
Response Length300
Controls how long the response will be
Thinking Depth
Response Style
Diversity1.00
Controls variety of word choices
Avoid Repetition0.0
Penalizes tokens already used frequently
Encourage New Topics0.0
Encourages the model to explore new topics
Consistency Mode
ON = fixed seed (42) for reproducible outputs