Software Engineer | MLOps | Gen AI
Buildingagentic AI systems, scalableMLOps pipelines, and reliablecloud deployments.

I’m passionate about connectingdeep learning research withreal-world impact.
Experienced inLLMs, RAG, LangChain, and MLOps (Docker, K8s, CI/CD), with expertise incomputer vision, generative AI, and distributed systems.
I enjoy designing robust pipelines, optimizing models, and shipping AI products that scale.

Languages: Python, Java, C++, TypeScript, SQL
AI/ML: PyTorch, TensorFlow, Scikit-learn, LLMs, GANs, Diffusion, RAG, LangChain
MLOps: Docker, Kubernetes, MLflow, DVC, Airflow, Kafka, PySpark
Cloud: AWS, GCP, CI/CD, Jenkins, Monitoring (Prometheus/Grafana)
Other: Data Engineering, ROS2, Git, Linux

• 📈🤖 AI Stock Advisor — Streamlit app for real-time stock analysis + LLM-powered insights
• 🧩⚡ TabGist — Chrome extension + FastAPI backend for summarizing web pages & YouTube transcripts
• 🩺 Medical RAG Chatbot — RAG-powered chatbot for reliable medical Q&A
• 📷 End-to-End MLOps: Image Classification — ML pipeline with SageMaker, MLflow, and DVC

• MasterAWS & System Design
• Deploy moreproduction-ready AI systems
• Contribute to impactfulopen-source AI/MLOps tools

• 💼LinkedIn
• ✍️Medium
• 💻GitHub

⭐️“Always building, always learning.”

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1. Handwritten-Line-Text-Recognition-using-Deep-Learning-with-TensorflowHandwritten-Line-Text-Recognition-using-Deep-Learning-with-TensorflowPublic

   Use Convolutional Recurrent Neural Network to recognize the Handwritten line text image without pre segmentation into words or characters. Use CTC loss Function to train.

   Python 328 125

2. Self-Driving-Car-ProjectsSelf-Driving-Car-ProjectsPublic

   Different Self Driving Car Projects

   Jupyter Notebook 54 5

3. ML-Interview-PreparationML-Interview-PreparationPublic

   This repository includes all the necessary materials for Machine Learning Interview including coding and System Design Interview.

   Jupyter Notebook 8

4. Ros2-Autonomous-TractorRos2-Autonomous-TractorPublic

   All code related to ABE 6990 Autonomous Tractor Course in Mississippi State University

   Python 3 2

5. Agentic-Chrome-PluginAgentic-Chrome-PluginPublic

   Summarize any website and agentic stock explorer chrome plugin

   Python 1

6. RAG-Memory-Context-Aware-AI-AgentRAG-Memory-Context-Aware-AI-AgentPublic

   Agentic Web Memory System — RAG-powered backend that learns from your browsing history, builds semantic + temporal memory with FAISS, and recalls the exact snippet & source via a Chrome extension.

   Python 2