I'm a Computer Science undergraduate focused on building AI-powered backend systems, intelligent agents, and cloud-native applications.

I enjoy going beyond simple API integrations — designing systems where AI agents, APIs, databases, automation, and infrastructure work together as one product.

• 🎓 B.Tech CSE — Galgotias College of Engineering & Technology
• 📅 Class of 2028 · 2nd Year · 3rd Semester
• 🤖 Focused on AI Agents, Backend Engineering & Cloud
• 🐍 Python + TypeScript are my primary development languages
• ☁️ Building and deploying applications on Google Cloud
• 👥 Coordinator @ GFG Club & LOOP Tech Club
• 🧠 Currently strengthening backend architecture, ML, system design & DSA

AI Agents
    ↓
Backend APIs
    ↓
Data & Databases
    ↓
Cloud Infrastructure
    ↓
Automation & Deployment

My main interests:

• 🤖 Multi-Agent AI Systems
• 🧠 Generative AI & LLM Applications
• ⚙️ Backend APIs & System Architecture
• ☁️ Cloud-Native Applications
• 🐳 Docker & CI/CD
• 🔄 Workflow Automation
• 👁️ Computer Vision
• 📊 Data Structures & Algorithms

Multi-agent AI system for automated technical candidate evaluation.

Built with Google's Agent Development Kit (ADK) and Gemini, the system uses specialized agents to evaluate candidates from a job description through a final HIRE / NO HIRE recommendation.

Agent Architecture:

                    Root Orchestrator
                           │
          ┌────────────────┼────────────────┐
          ↓                ↓                ↓
    Rubric Builder   Resume Reviewer   GitHub Validator
                                             │
                                             ↓
                                      GitHub Reviewer
                                             │
                                             ↓
                                    Verdict Synthesizer

Highlights

• 🤖 5 specialized AI agents
• 🧠 Google ADK orchestration
• ✨ Gemini-powered reasoning
• 🐙 Live GitHub API analysis
• 📄 Resume evaluation
• 📊 Structured candidate scoring
• ⚖️ Automated HIRE / NO HIRE verdict
• 🐳 Dockerized application

Python Google ADK Gemini GitHub API Multi-Agent AI Docker

🔗 View Repository

AI-powered productivity and deadline management system.

DG-AI turns deadlines into executable plans instead of simply sending reminders.

It analyzes tasks, deadlines, workload, calendar constraints, and productivity patterns to identify risks and generate actionable recovery plans.

Highlights

• 🧠 AI task parsing
• 📅 Calendar intelligence
• ⚠️ Deadline risk engine
• 🎯 Intelligent prioritization
• 🤖 AI planning agent
• 🚨 Rescue / recovery planning
• 🐳 Dockerized architecture
• ☁️ Cloud deployment

TypeScript Gemini Prisma Firestore Docker Cloud Run

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AI-powered career guidance platform for students.

Analyzes user skills and resumes to identify gaps, recommend career paths, and generate personalized learning guidance.

Highlights

• 🎯 AI career recommendations
• 📄 Resume analysis
• 🧠 Skill-gap analysis
• 📚 Personalized learning paths
• 🤖 AI-powered career assistance
• ☁️ Cloud deployment

TypeScript Node.js Gemini Vertex AI Firestore Docker

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Hybrid computer vision pipeline combining YOLOv8 for object localization with a fine-tuned MobileNetV2 CNN for classification.

Image
  ↓
YOLOv8
  ↓
Animal Bounding Box
  ↓
MobileNetV2
  ↓
Cat / Dog Classification

Python PyTorch YOLOv8 MobileNetV2 OpenCV

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Privacy-focused client-side application that generates QR codes and converts documents to PDF directly in the browser.

No backend is required and files can be processed entirely on the client.

TypeScript Vite Client-side Vercel

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Backend application for managing examinations, student records, and results using a structured CRUD architecture and relational database.

Python REST API SQLite PostgreSQL

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Workflow automation system built with n8n, demonstrating API integration, webhooks, multi-step workflows, and automation of repetitive processes.

n8n Webhooks APIs Workflow Automation

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focus = [
    "AI Agents",
    "Backend Engineering",
    "FastAPI",
    "System Design",
    "Cloud & DevOps",
    "Machine Learning",
    "Data Structures & Algorithms"
]

for skill in focus:
    print(f"Building deeper: {skill} 🚀")

Currently working on:

• 🤖 Multi-agent AI architectures
• ⚙️ Backend architecture & API design
• 🐍 Python & FastAPI
• 🧠 Generative AI systems
• ☁️ Google Cloud & Cloud Run
• 🐳 Docker & CI/CD
• 🗄️ Database architecture
• 📊 DSA in C++

• ☁️ Google Cloud Skills Boost
• 👥 Coordinator — GFG Club
• 👥 Coordinator — LOOP Tech Club
• 🏆 Hackathon & AI project experience

_{Building AI systems · Learning deeply · Shipping consistently}