🚀 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, BLIP2, 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 Solutions" 🚀