class NitishKumarSingh:
def __init__(self):
self.name = "Nitish Kumar Singh"
self.role = "AI/ML Engineer & Software Developer"
self.location = "Greater Noida, Delhi NCR, India 🇮🇳"
self.education = "B.Tech CSE @ IILM University (2023–2027)"
self.github = "https://github.com/nitishchauhan002"
self.linkedin = "https://linkedin.com/in/nitish-kumar-singh-4802792bb"
self.leetcode = "https://leetcode.com/u/nitishchauhan_002/"
self.currently_working_on = [
"Multimodal AI for Fake News & Deepfake Detection",
"Privacy-Preserving ML with Federated Learning",
"DSA in Python & Java — grinding daily 💪",
]
self.currently_learning = [
"Advanced Transformer Architectures (BERT, ViT)",
"System Design for Scalable AI Applications",
"Full-Stack AI Web Apps with REST APIs",
]
self.achievements = [
"🏆 National Finalist — BHASHINI Startup Velocity 2.0 Hackathon",
"🏆 Final Round — Python & DSA Quiz, IILM University",
]
self.fun_fact = "I built a deepfake detector before I could detect my own bad habits 🎭🤖"
def daily_routine(self):
return ["☕ Coffee", "🧠 BERT Fine-tuning", "🎭 Fight Deepfakes", "📊 LeetCode", "🔁 Repeat"]
def __str__(self):
return "Making AI trustworthy — one model at a time 🚀"
me = NitishKumarSingh()
print(me)
| Skill | Level |
|---|---|
| 🐍 Python | ████████████████████ 95% |
| 🤖 Machine Learning | ███████████████████░ 90% |
| 🧠 Deep Learning (CNN / BERT) | ██████████████████░░ 85% |
| 👁️ Computer Vision (OpenCV) | █████████████████░░░ 80% |
| 🔥 TensorFlow / PyTorch | █████████████████░░░ 80% |
| 🌐 REST API / Web Backend | ████████████████░░░░ 75% |
| 🗄️ SQL / Data Processing | ████████████████░░░░ 75% |
| ☕ Java / DSA | ██████████████░░░░░░ 65% |
| 🔬 Project | 📝 Description | 🛠️ Stack |
|---|---|---|
| 🎭 Multimodal Fake News & Deepfake Detection | AI framework fusing text (BERT), image & video pipelines — 86% accuracy on news classification, 100% on deepfake video detection | Python · BERT · PyTorch · OpenCV |
| 🔐 Federated Learning – Diabetes Prediction | Privacy-preserving ML model with decentralized training across distributed medical datasets — no raw data sharing | Python · TensorFlow · Pandas · NumPy |
| 🌾 Kisan Salahkar – AgriTech Advisory System | Full-stack crop recommendation app with real-time weather API + ML backend for farmers | Python · Scikit-learn · HTML · CSS · JS |
2026 (Jan–Mar) ──▶ 🔵 AI-ML Virtual Intern @ AICTE – EduSkills (Google for Developers)
End-to-end ML workflows · TensorFlow · Scikit-learn
Classification · Regression · Clustering pipelines
2025 (Jan) ──▶ 🟢 AI Intern @ Codec Technologies
TensorFlow · PyTorch · OpenCV
Object Detection · Image Processing · OOP AI Pipelines
| 🏅 | Certification / Achievement | Issuer | Year |
|---|---|---|---|
| 🥇 | AWS Academy Graduate – ML Foundations | Amazon Web Services | 2025 |
| 🥇 | Programming in Core Java | Infosys Springboard | 2025 |
| 🥇 | Introduction to Artificial Intelligence | Coursera | 2025 |
| 🏆 | National Finalist — BHASHINI Startup Velocity 2.0 | Govt. of India Hackathon | 2025 |
| 🏆 | Final Round — Python & DSA Quiz Competition | IILM University | 2025 |
