🚀 AI Engineer | Machine Learning | Generative AI | MLOps | Deep Learning | IoT | Agentic AI | LLM | CI/CD
📍 AI Researcher & Developer specializing in cutting-edge AI-driven solutions, NLP, Computer Vision, and scalable MLOps pipelines.
- 🎓 AI & Machine Learning Specialist with expertise in Generative AI, Agentic AI, and MLOps
- 💻 Skilled in Python, Django, Flask, Streamlit, LangChain, Hugging Face, YOLO, Stable Diffusion, BLIPs2, WhisperX, T5
- 🚀 Experience in Developing AI-Powered Chatbots, NLP Applications, and Advanced Computer Vision Systems
- 📈 Expertise in AI Model Deployment, Cloud-based ML Pipelines (AWS, GCP, Azure), MLflow, CI/CD, and Docker
- 🛠 Passionate about AI-powered automation, intelligent system design, and enterprise AI integration
- 📚 Always learning & building scalable AI and backend solutions with real-world impact
- Developed an Advanced Self-Retrieval-Augmented Generation (Self-RAG) chatbot using LangChain, Langraph, MLflow, and Django.
- Supports multi-modal query handling (text, images, tables, flowcharts) extracted from PDFs.
- Integrated Web Scraping with Selenium to retrieve real-time referenced data from URLs.
- Implemented Role-Based Access Control (RBAC) for user authentication and document access.
- Built Advanced Computer Vision projects including:
- Text-to-Image Generation models with Stable Diffusion, Pix2Pix, and Transformer-based architectures
- AI-driven Image Captioning system using BLIP2 and vision-language models
- Real-time Object Detection and Semantic Segmentation using YOLO and OpenCV
- Enabled context-aware image descriptions with advanced multi-modal learning techniques
- Created an AI-powered meeting analytics system using YOLO (face detection), WhisperX (transcription), T5 (summarization), and Llama 3.3 (context analysis).
- Implemented Emotion and Sentiment Detection for assessing speaker tone.
- Automated Report Generation and Delivery via Google Cloud API.
- Built with Django, Django Celery for background processing, and Streamlit for interactive visualization
- Developed Comprehensive Web Scraping Frameworks using:
- Selenium for dynamic web content extraction
- BeautifulSoup for HTML parsing
- Scrapy for large-scale web crawling
- Created intelligent data collection pipelines with data cleaning and transformation techniques
- Implemented ethical web scraping practices respecting robots.txt and site policies
- Basic Anomaly Detection Models for network security
- Explored Machine Learning techniques in preliminary threat analysis
- Demonstrated foundational understanding of security-driven AI approaches
| Category | Technologies |
|---|---|
| Languages |   |
| Web Frameworks |    |
| Computer Vision |   |
| Databases |   |
| AI & ML |    |
| Data Processing |   |
| MLOps & Deployment |    |
🎯 "Transforming Industries with Intelligent AI Solution" 🚀