"With great power comes
great responsibility"

Satyam Pandey

Establishing Connection

Satyam
Pandey

I build Intelligent Ecosystems at the intersection of web technology and Generative AI. Currently protecting the digital frontier through code.

Spider_OS // Core_Shell
Neural Link: 10.0.0.1Active Protocol
Identity Scan

Dossier // Spider-Identity

"With great power comes great responsibility. In this digital multiverse, code is my web."

Scanning file for Satyam Pandey: an AI & Data Science strategist with a 98.3 percentile in MHTCET. I build multi-agent AI platforms and weave Next.js, LangGraph, and GenAI into intelligent digital ecosystems that move fast, think smart, and scale clean.

4x

Hackathon Winner

6x

Hackathon Finalist

250+

Mentored Students

Linear History

Bachelor of Technology

Thadomal Shahani Engineering College (TSEC)

AI & Data Science | CGPA: 8.55/10

Sept 2024 – Present

Higher Secondary Certificate (CS)

Model College of Science & Commerce

93.00% (1st Rank Topper)

June 2022 – May 2024

Secondary School Certificate

Mumbai, India

87.00% (3rd Rank)

2014 – 2022
Arsenal Online

Tech Arsenal

C++

C

Python

Go

Java

TypeScript

JavaScript

SQL

Establishing Synchronization with Programming modules

The Nexus

NODE_00

Porsche 911 3D

Cinematic, luxury 3D experience with scroll-driven camera animations, interactive model switching, and AR test drive capabilities.

11-Scene Scroll Story
AR Experience
Model Switching
Three.jsR3FGSAPLenisAR
NODE_01

Nyay Shastra

Production-grade AI legal assistant powered by a multi-agent RAG system with hybrid search, citation verification, and bilingual support.

Multi-Agent Architecture
Hybrid Search
Bilingual Support
FastAPILangChainChromaDBClerkBGE-M3
NODE_02

Galli frey

AI-powered structural health monitoring system using wavelet signal processing, anomaly detection, and agentic orchestration for infrastructure insights.

Wavelet Analysis
Anomaly Detection
Real-time Monitoring
Agentic AILangGraphChromaDBIsolation Forest
NODE_03

Research Agent

Cloud-backed research agent system built to orchestrate scalable AI workflows using IBM tools and collaborative automation.

Scalable AI Workflows
Cloud Infrastructure
Agentic Research
IBM CloudAI WorkflowAutomationResearch
NODE_04

Study Buddy

LLM-powered learning platform with automated concept explanation, quiz generation, and productivity tracking.

10+ AI Features
4 Study Modules
Adaptive Quizzing
Next.jsNode.jsLLaMA 3.1Vector DB
NODE_05

Work Sphere

AI-driven workspace discovery platform with multi-agent workflows, geospatial routing, and real-time venue intelligence.

500+ Venues Indexed
5-step AI Pipeline
Real-time Updates
ReactGoPostgreSQLTailwindAI Pipeline
NODE_06

y. ai

Explainable learning intelligence platform with PWA dashboard, browser intelligence plugin, and a modular SDK powered by GNNs, BERTopic, LambdaMART, SHAP, DiCE, and causal inference.

Explainable Predictions
Knowledge Graph Tracking
Adaptive Personalization
Next.jsFastAPIPyTorchXGBoostPostgreSQLKubernetes
NODE_07

Themis Agents

Advanced agentic multi-agent assistant that automates codebase search, execution, debugging, and deployment with a Go TUI + ReAct architecture.

Autonomous Tooling
Multi-Agent Orchestration
Chromium Automation
GoBubble TeaMCPQdrantGo Rod
NODE_08

AI GitHub PR Reviewer

Production-ready local AI tool that analyzes GitHub PRs with Ollama, posts review comments, and ships with a dashboard + CLI for repo browsing, PR management, and real-time analysis.

Automated PR Reviews
OAuth 2.0 Security
Multi-Model Support
Node.jsExpressOllamaGitHub OAuthHTML
NODE_09

Tree Species Intelligence

Full-stack ML system for tree species identification and geospatial recommendations using a CNN classifier and KNN-based location recommender over 1.38M municipal records.

30-Species Classifier
Top-5 Location Recs
Urban Forestry Analytics
TensorFlowscikit-learnStreamlitKNNGeo-ML

Service Record

I have 25 experiences across all domains

Neural_Interface

Stats

Repositories
Total Stars
Total Forks
Personal Forks
Followers
Following

SatyamPandey-07

GitHub Profile

20 followers · 0 following
Mumbai, TSEC
satyam53@tsecol.onmicrosoft.com

Earned Achievements

👥
Pair Extraordinaire
🦈
Pull Shark

x3

🚀
YOLO
Quickdraw
S

Contribution Activity

Dossier: SatyamPandey-07

Selected Cycle
Current Streak
Longest Streak

Language by Repository

Language by Commits

Code Analytics

Activity Trend
Commit Hours (UTC)
Activity Breakdown
Weekly Momentum

LeetCode Dossier

150+Solved
Global_Ranking#240k+
Easy_Logic84
Medium_Logic62
Hard_Logic10
Stability_Rate72.4%
Neural_Intensity450 pts
Reputation_Clearance15

Trophy Vault

...LeetCode Solved
4xHackathon Winner
6xHackathon Finalist

Classified Victories

Augenblick Hackathon 2026

Augenblick x TSEC CodeTantra

🏆 1st Prize

TechSprint Hackathon

Google Developer Groups On Campus ACE

Issued: Jan 2026

🏁 Top 5 Finalist

Leadership Clearances

National Level Hackathons

Coding & Innovation Challenges

🔥 6x Finalist

eDC IIT Delhi / Internshala

Social & Innovation Ambassador

🌍 Campus Lead

Back-to-Back Hackathon Run

1st PlaceINR 35,000

SYN3RGY 3.0 WINNER

Dwarkadas J. Sanghvi College of Engineering, Mumbai

18-19 Apr 2026Mumbai, Maharashtra, India

UntrainedModels - Yash Singh, Satyam Pandey, Ayush Shukla, Aryan Patil

  • Built Themis: an advanced agentic multi-agent assistant in 24 hours.
  • Implemented ReAct loop: Thinking -> Acting -> Observing -> Improving.
  • Agent stack: Zeus (orchestrator), Athena (architect), Hephaestus (engineer), Apollo (debugger), Ares (QA), Hermes (docs), Prometheus (Git).
  • Handled FCFS problem selection, overnight iteration, and final code freeze delivery under pressure.
  • Result: Back-to-back podium momentum with execution-first teamwork.
2nd Runner-UpINR 20,000

DataHack 4.0 Podium

DataHack 4.0: Into The Spider-Verse, DJSCE

11-12 Apr 2026Mumbai, Maharashtra, India

UntrainedModels - Satyam Pandey, Kushagra Saxena, Ayush Shukla, Shiven Shetty

  • Recovered from an early 2-hour scheduling setback and still qualified finals.
  • Built y.ai: Explainable Learning Intelligence with end-to-end AI pipeline.
  • Tech stack: GNN, BERTopic, HDBSCAN, LambdaMART, SHAP, DiCE, causal inference, Zettelkasten graph.
  • Shipped dashboard + browser plugin + SDK under tight submission and judging pressure.
  • Takeaway: resilience and calm execution beat perfect starts.

Signal Interception

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