Update app.py

app.py

@@ -96,7 +96,6 @@ def display_work_experience():
         - This new habit aims to educate and inspire, bridging the gap between technical expertise and practical application in the modern data landscape.
         - Find my work on [Medium](https://medium.com/@nihar-palem) and [Substack](https://niharpalem.substack.com/publish/posts).
     """)
-
 def display_skills():
     st.title('Skills')
     
@@ -107,7 +106,9 @@ def display_skills():
         "Data Engineering",
         "Data Architecture",
         "Visualization",
-        "Specialized Systems"
+        "Specialized Systems",
+        "Multimodal AI",
+        "LLM & Advanced AI"
     ]
     
     # Create tabs
@@ -126,12 +127,20 @@ def display_skills():
             - Relational: MySQL, PostgreSQL
             - NoSQL: MongoDB
             - Data Warehouses: Snowflake, Redshift
+            - Vector Databases: FAISS, Pinecone
             
         - **Development Tools**:
             - Version Control: Git, GitHub
             - Containerization: Docker
+            - Orchestration: Kubernetes (Basic)
             - IDE: VS Code, PyCharm
             - Microsoft Office Suite
+            
+        - **Frameworks & Libraries**:
+            - LangChain
+            - Hugging Face (Transformers, Diffusers)
+            - Scikit-Learn, Pandas, NumPy
+            - Apache Spark
         """)
     
     # AI & Machine Learning
@@ -139,28 +148,36 @@ def display_skills():
         st.subheader("AI & Machine Learning")
         st.markdown("""
         - **Machine Learning Frameworks**: 
-            - PyTorch
+            - PyTorch (Advanced, PyTorch Distributed, DDP)
             - TensorFlow
             - Scikit-Learn
             - XGBoost, Random Forest, AdaBoost
             
         - **Deep Learning**: 
-            - Vision Transformers
+            - Vision Transformers (ViT)
             - ResNet Architectures
             - Neural Networks
             - BiLSTM
             
-        - **LLM & NLP**: 
-            - LLaMA-3 (70B/8B)
-            - GPT-3.5
-            - Sentence Transformers
-            - Advanced Prompt Engineering
-            - Multi-agent Architectures
+        - **Distributed Training**:
+            - Multi-GPU Clusters (16+ GPUs)
+            - PyTorch DDP (Distributed Data Parallel)
+            - DeepSpeed
+            - Megatron
+            - CUDA Acceleration
+            - FlashAttention
             
         - **Computer Vision**: 
             - MediaPipe
             - OpenCV
             - Image Processing Pipelines
+            - Satellite Imagery Analysis
+            
+        - **Model Optimization**:
+            - Model Compression (Quantization, Distillation)
+            - Performance Optimization
+            - CUDA Programming
+            - Parallel Processing
         """)
     
     # Data Engineering & Cloud
@@ -168,7 +185,7 @@ def display_skills():
         st.subheader("Data Engineering & Cloud")
         st.markdown("""
         - **Cloud Platforms**: 
-            - AWS (Certified)
+            - AWS (Certified - Lambda, S3, Glue, EC2, Redshift)
             - Google Cloud Platform (GCP)
             - Cloud Architecture Design
             
@@ -183,11 +200,14 @@ def display_skills():
             - Workflow Orchestration
             - Concurrent Processing
             - Real-time Data Streaming
+            - ThreadPoolExecutor Optimization
             
         - **Infrastructure**:
-            - CI/CD Pipelines
+            - CI/CD Pipelines (GitHub Actions)
             - Infrastructure as Code
-            -Kubernetes Basics
+            - Kubernetes Basics
+            - Production Monitoring
+            - Distributed Training Clusters
         """)
     
     # Data Architecture & Analytics
@@ -205,17 +225,21 @@ def display_skills():
             - Batch Processing
             - Time Series Analysis
             - Statistical Analysis
+            - A/B Testing
+            - Hypothesis Testing
             
         - **Data Processing**: 
             - Pandas, NumPy
             - Data Wrangling
             - Feature Engineering
             - Data Quality Assurance
+            - Data Quality Management
             
         - **Performance Optimization**:
             - Query Optimization
             - Indexing Strategies
             - Caching Mechanisms
+            - SQL Performance Tuning
         """)
     
     # Visualization & Deployment
@@ -238,6 +262,7 @@ def display_skills():
             - Streamlit
             - Flask
             - Web Development
+            - Hugging Face Spaces
             
         - **Collaboration Tools**: 
             - JIRA
@@ -273,6 +298,80 @@ def display_skills():
             - Computer Vision Systems
             - Time Series Forecasting
             - Anomaly Detection
+            - Real-time Web Scraping
+            - Automated Data Quality Checks
+        """)
+    
+    # Multimodal AI
+    with tabs[6]:
+        st.subheader("Multimodal AI")
+        st.markdown("""
+        - **Vision-Language Models**: 
+            - Qwen-VL
+            - Gemini Multimodal
+            - Vision-Language Understanding
+            - Cross-modal Fine-tuning
+            - Multimodal Evaluation
+            
+        - **Visual AI**: 
+            - Visual Question Answering (VQA)
+            - Vision Transformers (ViT)
+            - Stable Diffusion XL
+            - Generative AI (Vision)
+            - Image-Text Alignment
+            
+        - **Multi-Agent Systems**: 
+            - Multi-Agent Multimodal Workflows
+            - Strategic Agent Architecture
+            - Visual Agent Integration
+            - QA Agent Implementation
+            
+        - **Evaluation & Testing**:
+            - Multimodal Benchmarking
+            - Cross-modal Bias Detection
+            - Performance Optimization
+            - Adversarial Testing
+            - Statistical Validation Methods
+        """)
+    
+    # LLM & Advanced AI
+    with tabs[7]:
+        st.subheader("LLM & Advanced AI")
+        st.markdown("""
+        - **Large Language Models**: 
+            - Fine-tuning (PEFT, LoRA, QLoRA)
+            - 2-Stage Training
+            - VLLM/LMMs
+            - Qwen, LLaMA (Llama-3.1-8B), GPT Integration
+            
+        - **Advanced Techniques**: 
+            - Prompt Engineering (Advanced, Context Injection)
+            - RAG (Retrieval-Augmented Generation)
+            - LLM Evaluation Benchmarking
+            - LLM-as-judge
+            - Auto Hinter Systems
+            
+        - **Production AI Systems**: 
+            - Multi-Agent Systems
+            - API Integration
+            - Performance Optimization
+            - Tenstorrent Hardware Utilization
+            - MLOps
+            
+        - **Specialized Applications**:
+            - Semantic Job Matching
+            - Resume Generation
+            - Marketing Campaign Automation
+            - Infrastructure Change Detection
+            - Exercise Pose Correction
+            
+        - **AI Testing & Validation**:
+            - Unit/Integration Testing for AI
+            - Offline Evaluation Frameworks
+            - Model Validation
+            - ROC Curve Analysis
+            - RMSE Validation
+            - Bias Mitigation
         """)
 
 def display_articles():