🎓 M.Tech Data Science @ IIIT Bhopal (SYSTEM DESIGNER) | 🏆 Ex-Data Analyst @ L&T Hydrocarbon Energy
🤖 Software Developer | AI Engineer | Data Scientist | Full-Stack Developer
🚀 Building Scalable AI Solutions & Software Systems for Real-World Impact
Software Developer & Data Scientist with expertise in statistical modeling, machine learning, and full-stack software engineering. Experienced in building enterprise-grade applications and predictive models using Python, Java, JavaScript, SQL, and modern development frameworks. Proficient in system architecture, data analysis, feature engineering, and business intelligence. Demonstrated ability to develop scalable, insightful solutions with focus on performance optimization, code quality, and production deployment.
Technical Focus: Machine Learning & Deep Learning | Generative AI & Multi-Agent Systems | Full-Stack Development | Data Engineering & MLOps
Tech: Java, Spring Boot, MySQL, Data Structures & Algorithms, REST APIs
Highlights:
- Architected full-stack platform with HashMap for O(1) license plate lookups
- Implemented PriorityQueue for optimal slot assignment and Graph algorithms for multi-level navigation
- Reduced vehicle retrieval time by 75% through optimized system design
- Built RESTful APIs for frontend-backend communication
🔗 Live Demo
Tech: React.js, Node.js, Express.js, MongoDB, Stripe API, JWT Authentication
Highlights:
- Built complete e-commerce platform with product catalog, shopping cart, and payment integration
- Integrated Stripe payment gateway and secure JWT user authentication
- Designed responsive UI/UX with React.js for cross-device compatibility
🔗 Live Shop
Tech: React.js, Node.js, Express.js, MongoDB, CSS3, JavaScript, Vercel
Highlights:
- Personal portfolio showcasing projects and skills with modern web technologies
- Features responsive design, smooth animations, and dynamic content rendering
- Optimized for performance and SEO
🔗 Live Website
Tech: Python, FastAPI, Gemini API, React, TypeScript, Docker
Highlights:
- Engineered 5 domain-specific AI assistants (General, Health, Travel, News, E-commerce)
- Built scalable microservices architecture with real-time chat and file processing
- Implemented context-aware response system with dynamic assistant switching
🔗 Live Demo | GitHub
Tech: JavaScript, React, Gemini API, Vercel
Highlights:
- Frontend application generating dynamic quizzes on any user-provided topic
- Integrated Google Gemini API with secure client-side API handling
- Real-time progress tracking and adaptive content generation
🔗 Live Demo
Tech: Python, Groq API, IBM WatsonX, Pandas, Seaborn, Matplotlib
Highlights:
- AI-powered multi-agent system (Climate, Biodiversity, Restoration) for ecological planning
- Advanced data analysis and visualization for sustainability applications
🔗 Kaggle Notebook
Tech: Python, CNN, YOLOv8, OpenCV, TensorFlow, HTML5 Canvas
Highlights:
- Engineered CNN-based deep learning model for 7-class emotion classification
- Implemented YOLOv8 for real-time face detection at 30 FPS with confidence scoring
- Built web interface with live video streaming and analysis
🔗 CNN Demo | YOLO Demo
Tech: Python, FastAPI, COCO Dataset, OpenCV, React
Highlights:
- Developed real-time object detection system supporting 80+ COCO classes
- Integrated live camera detection with FPS monitoring and confidence scoring
- Optimized for web deployment with responsive design and low-latency performance
🔗 Live Demo
Tech: Python, Flask, Scikit-learn, JavaScript, Docker, Kubernetes
Highlights:
- Architected enterprise-grade ML platform with drag-drop interface for building ML pipelines
- Implemented scalable backend handling 10GB datasets with 8+ algorithms and automated preprocessing
- Reduced ML implementation time by 75% through workflow automation and intuitive UI
🔗 GitHub
Tech: Python, Pandas, mplfinance, Streamlit, TA-Lib
Highlights:
- Developed trading platform with technical indicators (VWAP, EMA, RSI, Bollinger Bands)
- Implemented real-time candlestick visualization and buy/sell signal interpretation
- Created dataset on Kaggle for candlestick pattern analysis
🔗 Live App | Dataset
Tech: Python, Streamlit, Scikit-Learn, Docker
Highlights:
- Built web application with pre-trained ML model for real-time transaction classification
- Implemented risk assessment workflows and secure deployment architecture
- Created interactive visualizations for fraud pattern analysis and detection metrics
🔗 Live Demo
Tech: React.js, Python, Streamlit, JWT Authentication, Docker
Highlights:
- Developed full-stack healthcare application for real-time diabetes prediction
- Implemented secure login-protected interface with JWT authentication
- Created ML-powered backend with React frontend for seamless user experience
🔗 Live App
Tech: SQL, Power BI, DAX, ETL, Data Warehousing, Star Schema
Highlights:
- Designed star schema data warehouse for chronic disease management
- Developed multi-page Power BI dashboards for hospital distribution and patient risk profiling
- Created ETL pipelines processing large-scale healthcare datasets across Indian states
🔗 Dashboard | Code
Tech: PySpark, Databricks, SQL, Big Data Analytics, Hadoop
Highlights:
- Conducted big-data analysis on Google Play Store dataset using PySpark
- Identified top-reviewed applications, installation trends, and category distribution
- Leveraged Databricks for scalable processing and SQL for structured analytics
🔗 Notebook
Tech: Tableau, Data Visualization, ETL
Highlights:
- Created interactive Tableau dashboard ranking capital cities by population
- Implemented advanced filters, drill-down capabilities, and dynamic visualizations
- Designed for comparative analysis and demographic trend exploration
🔗 Dashboard
Tech: Multi-Agent AI, AgentX, Python, Streamlit, FastAPI
Highlights:
- Developed custom multi-agent system for ecological research and plant disease detection
- Integrated three specialized agents: Biodiversity, Climate, and Restoration Analysts
- Created pipeline automation for end-to-end ecological insights and planning
🔗 Live App
- Analyzed structural datasets for offshore oil & gas projects, ensuring compliance with industry standards
- Validated joint/connection data using MS Excel and Staad Pro, reducing design errors by 15%
- Collaborated with engineering teams on ARAMCO (Saudi Arabia) and LINDE (Australia) projects
- Optimized design workflows using AutoCAD, Tekla, and Staad Pro for large-scale energy projects
- Data Structures & Algorithms - UC San Diego (95.66%)
- Google Data Analytics Professional Certificate
- Microsoft Azure Fundamentals (AZ-900)
- Data Visualization & Analysis with R
- NPTEL Solid Mechanics - Silver Medalist
- ISRO Remote Sensing Technology - IIRS Dehradun
"Learning never exhausts the mind." – Leonardo da Vinci
⭐ Star repositories you find interesting! Let's build something amazing together!
- Building scalable microservices architectures for AI applications
- Enhancing Multi-Agent AI systems with advanced orchestration
- Developing production-ready MLOps pipelines with CI/CD
- Contributing to open-source software projects
- Preparing research publications in AI for Sustainability
Open to collaborations on innovative software engineering & AI projects!