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🙋‍♂️ About Me

const shubham = {
  name:        "Shubham Kumar Sharma 👨‍💻",
  location:    "Ajmer, Rajasthan, India 🇮🇳",
  education:   "B.Tech IT @ Engineering College Ajmer | CGPA: 9.06 / 10.0 🎓",
  scholarship: "Top 1,500 / 50,000+ — AWS AI & ML Scholars (Udacity & AWS) 🏆",

  currentlyBuilding: [
    "RAG pipelines on AWS Bedrock 🤖",
    "Full-stack apps with Spring Boot + React ⚙️",
    "DSA problem-solving in Java — daily grind 🧠",
  ],

  techStack: {
    languages:  ["Java", "TypeScript", "Python", "C", "SQL"],
    frontend:   ["React", "React Native", "Tailwind CSS", "Vite"],
    backend:    ["Spring Boot", "Node.js", "Express", "Prisma", "Docker"],
    cloud_ai:   ["AWS Bedrock", "AWS SageMaker", "Terraform", "IBM Watsonx"],
    databases:  ["PostgreSQL", "MySQL", "Supabase", "Aurora Serverless"],
    concepts:   ["RAG", "GenAI", "Microservices", "REST APIs", "SOLID"],
  },

  funFact: "I fix bugs I created while fixing other bugs 😅☕",
  motto:   "Code. Deploy. Learn. Repeat. 🔁",
};

⚡ Quick Glance

🔭 Building RAG pipelines · Full-stack apps · DSA Visualizer (live in production!)
🌱 Learning Advanced AWS · System Design · Spring Boot microservices
🏆 Top Award 🥇 Top 1,500 / 50,000+ — AWS AI & ML Scholars (Udacity & AWS)
💼 Experience IBM SkillsBuild Intern — AI & Cloud (Edunet Foundation, 2025)
🎓 Education B.Tech IT, Engineering College Ajmer · CGPA 9.06 / 10.0
📍 Based in Ajmer, Rajasthan 🇮🇳
📫 Email shubhamsharma86900@gmail.com
Fun fact I debug best at 2 AM with lo-fi music and too much coffee 🎧☕

🌐 Connect With Me

LinkedIn Gmail GitHub Portfolio


💼 Experience

🏢 IBM SkillsBuild Intern — AI & Cloud Technologies

Edunet Foundation · Remote · July 2025 – Aug 2025

🤖 Trained & deployed a Snap Random Forest classifier on IBM Watsonx.ai

  • Achieved 95.8% accuracy — outperforming logistic regression baseline by ~12 percentage points
  • Built a decision support tool that cut manual applicant review time by 70%
  • Removed the human classification bottleneck from a government benefit distribution pipeline

🚀 Featured Projects

🧠 Intelligent Document Querying System

AWS Bedrock · RAG · Terraform · Aurora Serverless · Production

GitHub

  • 🔍 End-to-end RAG pipeline — AWS Bedrock Knowledge Bases + Aurora Serverless PostgreSQL + S3 — delivering sub-second natural language search over multi-page technical PDFs
  • 🏗️ Provisioned full AWS infra via Terraform across two modular stacks (VPC, NAT, Aurora Serverless, S3, Bedrock KB, IAM) — reproducible from a single terraform apply
  • 🛡️ Implemented prompt validation via Bedrock model pre-check to filter irrelevant queries before KB invocation; tuned temperature & top_p for precision vs. diversity

Stack: Python AWS Bedrock Terraform Aurora Serverless PostgreSQL S3 Streamlit


⚡ DSA Visualizer — 60 FPS · 20+ Algorithms · Full-Stack

Live in Production!

Live GitHub

  • ⚙️ Custom Animation Engine separating algorithmic logic from UI rendering — stable 60 FPS on O(n²) sorts across 100+ element arrays, zero frame drops
  • 🔄 Replaced React state with Zustand30% fewer re-renders on worst-case O(n log n) sorts, verified via React DevTools Profiler
  • 🌐 Full-stack: Node.js + Express + Prisma + PostgreSQL backend · Jest test suite · GitHub Actions CI/CD
  • 📊 Supports 20+ algorithms — Arrays, Trees, Graphs (Dijkstra, A*, Kruskal, Prim), Sorting — with live complexity overlays at every step

Stack: React TypeScript Node.js Express Prisma PostgreSQL Zustand Tailwind CSS SVG Canvas


⚛️ Quantum Circuit Simulator

Qiskit · 5-Layer Architecture · IBM Quantum

GitHub

  • 🏛️ 5-layer production-grade simulator (Presentation → Application → Quantum Abstraction → Execution → Infrastructure) with Dependency Inversion & adapters for Qiskit Aer and IBM Quantum hardware
  • 🔬 15+ gate types (H, CNOT, S, T, RX, RY, RZ, SWAP) with presets for Bell State, GHZ State & Teleportation — dual CLI + Tkinter GUI with embedded Bloch Sphere, state vector & histogram visualizations
  • SOLID principles · layer-wise unit tests · NumPy-vectorized multi-qubit state computation · side-by-side quantum vs. deterministic analysis

Stack: Python Qiskit Matplotlib NumPy Tkinter IBM Quantum


🛠️ Tech Stack

💬 Languages

🎨 Frontend

⚙️ Backend & DevOps

☁️ Cloud & AI

🗄️ Databases

🔧 Tools


⚔️ Competitive Programming

LeetCode

🏆 CODEWAR — Secured 3rd Place @ Engineering College Ajmer
🧠 Daily DSA practice in Java — Arrays · Trees · Graphs · DP · Sorting
🎯 Grinding: Dijkstra, A*, Kruskal, Prim and Dynamic Programming


📈 Learning Roadmap

✅ Java & OOPs              ████████████████░░░░  Almost Done!
✅ MySQL & Databases        ████████████████████  Done!
✅ Git & GitHub             ████████████████████  Done!
✅ React & TypeScript       ████████████░░░░░░░░  60% 
✅ Node.js + Express        ████████████░░░░░░░░  60%
✅ AWS Bedrock + RAG        ████████████████████  Done! (Production 🚀)
✅ Terraform (IaC)          ████████████████████  Done! (Production 🚀)
✅ IBM Watsonx / ML         ████████████████████  Done! (Internship 🏢)
🔄 Spring Boot              ███████████████░░░░░  75%  ← Active
🔄 DSA — Advanced           ████████████░░░░░░░░  60%  ← Daily grind
🔄 Docker & CI/CD           ██████████░░░░░░░░░░  50%
🔲 System Design            ████░░░░░░░░░░░░░░░░  20%  ← Next up
🔲 Kubernetes               ██░░░░░░░░░░░░░░░░░░  10%  ← Planned

🏆 Achievements & Certifications

🏅 Achievement
🥇 Top 1,500 / 50,000+ — AWS AI & ML Scholars · Udacity & AWS
🥉 3rd Place — CODEWAR Competitive Coding Contest
🤖 95.8% ML Model Accuracy — IBM Watsonx.ai internship project
70% reduction in manual review time — production decision support tool
🚀 2 Live Production Systems — RAG pipeline + DSA Visualizer
📜 AWS ML Foundations — AWS (2025)
📜 Intro to GenAI with AWS — Udacity (2025)
📜 Getting Started with AI — IBM (2025)
📜 Python Essentials 1 & 2 — Cisco (2025)

📊 GitHub Stats


🐍 Contribution Snake

Snake animation

💬 A thought I live by...

"First, solve the problem. Then, write the code."


🤝 Open to Internships · Open Source · Collaborations

If you're building something cool in Java, TypeScript, AWS, or AI/ML — let's talk! 🚀


LinkedIn   Email



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