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. 🔁",
};| 🔭 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 🇮🇳 |
| shubhamsharma86900@gmail.com | |
| ⚡ Fun fact | I debug best at 2 AM with lo-fi music and too much coffee 🎧☕ |
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
AWS Bedrock · RAG · Terraform · Aurora Serverless · Production
- 🔍 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_pfor precision vs. diversity
Stack: Python AWS Bedrock Terraform Aurora Serverless PostgreSQL S3 Streamlit
Live in Production!
- ⚙️ 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 Zustand — 30% 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
Qiskit · 5-Layer Architecture · IBM Quantum
- 🏛️ 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
🏆 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
✅ 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
| 🏅 | 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) |


