B.Tech in Computer Science & Engineering with specialization in AI/ML from Bennett University. Passionate about building AI-powered products that solve real-world problems.
class AIEngineer:
def __init__(self):
self.name = "Vikram Madhad"
self.role = "AI Engineer"
self.skills = [
"Python", "TensorFlow",
"Machine Learning",
"Deep Learning"
]
def build(self):
return "Amazing Products"I'm a Computer Science undergraduate at Bennett University with a deep passion for Artificial Intelligence and Machine Learning.
My journey in tech has been driven by curiosity and a desire to build products that make a difference. From developing AI-powered feedback analyzers to creating gesture recognition systems, I love tackling challenging problems with innovative solutions.
As the Vice President of the RPA Club, I've had the privilege of leading a 40+ member team, organizing workshops, and training 300+ students in automation technologies.
When I'm not coding, you'll find me exploring the latest in AI research, contributing to open-source projects, or mentoring aspiring developers.
Bennett University, Greater Noida
CGPA: 8.56 AI/ML SpecializationR.E.D School, Jhajjar
Percentage: 89.2%R.E.D School, Jhajjar
Percentage: 90.2%Built an AI system to analyze Google Play Store reviews using sentiment classification and topic clustering. Generates product metrics for roadmap and UX decisions.
CNN model with 3 convolutional layers achieving 92% accuracy. Processes 1,200+ images across 15 gestures with less than 0.5s latency for real-time TTS.
End-to-end GNSS error prediction using LSTM models trained on 1GB+ satellite telemetry. Integrated Flask APIs with React dashboard, reducing latency by 40%.
Multi-role platform connecting users with professionals across 15+ service categories via geolocation and live booking. Features NextAuth.js authentication.
Streamlit app with advanced LSTM model trained on 5+ years of Yahoo Finance data. Features 4+ interactive analytics modules with candlestick charts.
Java-based system with OOP concepts across 8+ classes for modular attendance. Automated tracking and reporting, reducing manual compilation by 50%.
I'm always open to discussing new opportunities, collaborative projects, or just having a chat about tech!