class SushantKumar:
def __init__(self):
self.name = "Sushant Kumar"
self.location = "Phagwara, Punjab, India 🇮🇳"
self.university = "Lovely Professional University"
self.degree = "B.Tech – CSE (CGPA: 9.12 🏆)"
self.role = ["AI Engineer", "Full-Stack Developer", "Competitive Programmer"]
@property
def currently(self):
return {
"building" : "Enterprise AI Copilots with Hybrid RAG & LLM Orchestration",
"learning" : ["Advanced LLM Fine-Tuning", "Distributed Systems", "MLOps"],
"solving" : "1500+ DSA Problems & counting...",
"goal" : "Build AI systems that actually make a difference"
}
def fun_fact(self):
return "Top 5% globally on LeetCode | Dean's List | National Hackathon Finalist"
| 🏗️ Project | 🔍 Description | 🛠️ Stack | 🔗 |
|---|---|---|---|
| RAONE – Enterprise AI Copilot | Multi-tenant SaaS AI copilot with Hybrid RAG + LLM orchestration over private knowledge bases | FastAPI · React · FAISS · BM25 · Groq · Docker · PostgreSQL | GitHub |
| VisionTraffic – Smart Traffic Monitor | Real-time AI traffic system: vehicle detection, speed estimation, license plate OCR (82.9% mAP@50) | YOLOv8 · Python · MySQL · OpenCV · Pandas | GitHub |
| Multi-Disease Prediction System | ML-powered health prediction system for multiple diseases with interactive UI | Scikit-learn · Streamlit · Python · Pandas | GitHub |
| IBM Attrition Analysis Dashboard | End-to-end employee attrition analytics with advanced visualizations | Python · Power BI · Pandas · Seaborn · Excel | GitHub |
| Telecom Customer Churn Analysis Dashboard | Interactive Power BI dashboard analyzing customer churn trends, retention factors, and business insights using telecom customer data | Power BI · SQL · Data Analysis · Data Visualization | Live Demo |
| Medical Assistance Dashboard | AI-powered medical assistant dashboard with diagnosis support and data visualization | React · FastAPI · ML · Streamlit | GitHub |
| DIY Home Improvement Assistant | Intelligent assistant that guides users through home improvement tasks using LLMs | Python · LangChain · Streamlit · LLM | GitHub |
| AI-Powered Task Management Bot | Smart task automation bot with NLP-based task classification and prioritization | Python · NLP · Bot Framework | GitHub |
🏆 1500+ Problems Solved · Rating: 1583 · Rank: 7186 (Top 5% — Biweekly Contest)
| 🏅 Achievement | 📅 Date |
|---|---|
| 🔥 1500+ DSA Problems solved on LeetCode, HackerRank, GFG, Codeforces | Mar 2026 |
| 🥇 LeetCode Rating 1583 — Rank 7186, Top 5% Globally (Biweekly Contest) | Jun 2024 |
| 🎓 Dean's List — University Honor, Top 0.1% Academic Performance | May 2024 |
| 🚀 CIPHERTHON 2.0 Finalist — National Level Hackathon | Feb 2024 |
| 🏆 Championship Trophy — Highest awards & exemplary discipline | Feb 2023 |
| 📜 Certification | 🏢 Issuer | 📅 |
|---|---|---|
| Oracle Cloud Foundation Associate | Oracle | Jul–Sep 2025 |
| Data Structures & Algorithms | Programming Pathshala | Jun–Jul 2025 |
| Computer Communication Specialization | Coursera (IBM, Google, Univ. of Colorado) | Aug–Dec 2024 |
| Object Oriented Programming – C++ | neoColab | Aug–Dec 2024 |
🔷 AICTE – Edunet Foundation | IBM SkillsBuild (Virtual Internship) · Sep–Oct 2025
Built & deployed 3+ ML applications integrating AI and cloud workflows. Processed 10,000+ record datasets using Pandas, NumPy, Matplotlib. Delivered AI-driven prototypes in a virtual team under strict deadlines.
🔷 Competitive Programming Training | LPU (Summer Training) · Jun–Jul 2025
Solved 500+ algorithmic problems on LeetCode & Codeforces. Improved CP ranking by 65%. Reduced average solution runtime 30–40% via STL optimization. Maintained 90%+ accuracy in contests.
⚡ "I don't just write code — I engineer intelligence."
Let's connect and build something extraordinary together.
