🎓 B.Tech Computer Science & Engineering Student at BML Munjal University
📊 Specializing in Machine Learning, Artificial Intelligence & Data Science
🔬 Passionate about developing intelligent systems that solve real-world problems
⚡ Research-oriented developer focused on impactful AI innovation
🌱 Currently Exploring:
- Advanced Deep Learning Architectures
- Large Language Models (LLMs)
- Explainable AI Systems
- Financial Intelligence Platforms
- AI for Agriculture & Sustainability
- Time Series Forecasting
- Multi-Agent AI Systems
🏆 Reliance Foundation Scholar & Student Mentor
🏅 Top Performer — LNMIIT HackCrux 2025
📈 CGPA: 9.23 / 10.0
🚀 Believer in continuous learning, research & innovation
- Supervised & Unsupervised Learning
- Regression & Classification
- Clustering & PCA
- Ensemble Learning
- Feature Engineering
- Model Optimization
- Hyperparameter Tuning
- ANN (Artificial Neural Networks)
- CNN (Convolutional Neural Networks)
- RNN, LSTM & GRU
- Transfer Learning
- Fine-Tuning Deep Learning Models
- YOLOv8
- U-Net
- Object Detection
- Image Classification
- Semantic Segmentation
- Image Augmentation
- Exploratory Data Analysis (EDA)
- Statistical Analysis
- Hypothesis Testing
- Data Cleaning & Visualization
- Predictive Modeling
- ARIMA
- SARIMAX
- Forecasting Models
- Trend & Seasonality Analysis
- Grad-CAM
- SHAP
- LIME
🚀 Developed an AI-powered financial intelligence platform integrating:
✅ Real-time Market Analytics
✅ IPO Analysis
✅ SIP Planning
✅ Portfolio Optimization
✅ Risk Assessment
✅ Explainable Investment Insights
🧠 Designed a hierarchical multi-agent AI system using:
- LLMs (Groq Llama 3.3)
- Sentiment Analysis
- Financial Intelligence Pipelines
📌 Objective: To simplify intelligent financial decision-making using AI-powered analytics.
📸 AI-powered heritage intelligence system using:
- MobileNetV2
- Transfer Learning
- Computer Vision
- Vision-Language AI
🎯 Achievements:
- Monument recognition across 30 categories
- 96.89% Top-5 Accuracy
✨ Features:
- Historical Insight Generation
- Interactive AI Chatbot
- Personalized Heritage Exploration
- Video Analysis Support
📌 Objective: Promoting Indian heritage through AI-driven digital experiences.
🌱 Smart agriculture system developed using:
- YOLOv8
- U-Net
- NDVI Analytics
- Multi-task CNNs
✨ Features:
✅ Crop Health Monitoring
✅ Pest Detection
✅ Precision Agriculture Insights
✅ Explainable AI Integration
🔍 Applied:
- Grad-CAM
- SHAP
- LIME
📌 Objective: Empowering farmers with AI-driven agricultural intelligence.
📊 Conducted applied research on:
- Battery Electric Vehicle Charging Prediction
- Time Series Forecasting
- ML-based Charging Analytics
🧠 Models Used:
- SARIMAX
- LSTM
- Regression Models
📌 Objective: Enhancing smart mobility & EV infrastructure analytics.
📊 Built an economic analytics platform for:
- Monthly Per Capita Expenditure Prediction
- Government-focused Economic Insights
- ML-based Decision Support
✨ Features:
✅ Feature Engineering
✅ PCA Optimization
✅ Streamlit Dashboard
✅ Comparative Model Evaluation
📌 Objective: Using AI for economic planning & policy analysis.
🌍 Developed a smart environmental monitoring system using:
- ESP32
- DHT11
- BMP180
- Blynk Cloud
📊 Features:
- Real-time Weather Monitoring
- Cloud Integration
- Forecasting Analytics
- IoT Dashboard
📌 Objective: Building intelligent environmental monitoring systems.
📅 June 2025 – August 2025
✨ Worked on:
- End-to-End ML Pipelines
- Data Preprocessing
- Feature Engineering
- Customer Lifetime Value Prediction
- Business Analytics Systems
📅 June 2025 – July 2025
✨ Conducted research on:
- EV Charging Prediction
- Machine Learning Models
- Time Series Forecasting
- Energy & Mobility Analytics
🏅 Reliance Foundation Scholar
🏅 Scholar at Saraswati Education Support Trust
🏅 Top 10 Position — LNMIIT HackCrux 2025
🏅 NSS Operations Team Member
🏅 Theatre Competition Winner
🏔️ Successfully Summited Patalsupi Trek (4200m)
🏅 Student Mentor at Reliance Foundation
✨ "Transforming data into intelligent systems that create real-world impact." ✨