AI | ML |Data Engineer|

My experience spans a wide range of technical domains, including artificial intelligence, machine learning, natural language processing (NLP), deep learning, and software development.
Core Skills & Expertise
1. AI & Machine Learning

• Neural Networks & Deep Learning: Expertise in building, training, and optimizing deep learning models using frameworks like TensorFlow, PyTorch, and Keras.
• Natural Language Processing (NLP): Proficient in text classification, sequence modeling, question answering, text summarization, and retrieval-augmented generation (RAG) systems. Experience in working with transformer models like BERT, GPT, T5, and LLaMA.
• Computer Vision: Knowledgeable in image processing, object detection, image captioning, and working with datasets like MS COCO2017.
• Reinforcement Learning: Hands-on experience with Monte Carlo Tree Search (MCTS) and reinforcement learning algorithms.

2. Data Science & Analytics

• Data Preprocessing & Feature Engineering: Expertise in handling large datasets, cleaning, and transforming data for machine learning models.
• Vector Representations & Embeddings: Experience in working with Stop2Vec-like models for semantic analysis and vector representations.
• Data Visualization: Proficient in Matplotlib, Seaborn, and Plotly for insightful data representation.

3. Programming & Software Development

• Python Programming: Advanced proficiency in Python, including object-oriented programming (OOP), data structures, and algorithmic problem-solving.
• API Development: Experience in building and integrating RESTful APIs for machine learning applications.
• CUDA & High-Performance Computing: Knowledge of GPU acceleration and parallel computing for optimizing model training.

4. Cloud & Deployment

• Cloud Services: Experience with AWS, Google Cloud, and Azure for deploying AI models and managing cloud-based applications.
• Model Deployment: Proficiency in using Flask, FastAPI, and Docker for deploying ML models into production.

5. Research & Learning

• Mathematics & Theoretical Foundations: Strong background in advanced calculations, problem-solving, probability, statistics, and optimization techniques.
• Technical Writing: Ability to document projects, research findings, and tutorials in a structured and clear manner.

Notable Projects & Achievements

• Stop2Vec Model: Developed a unique embedding model for representing stops as word-like entities and generating ordered sequences using an encoder-decoder approach.
• Image Caption Generator: Built a deep learning-based image captioning system leveraging CNNs and transformers.
• Retrieval-Augmented Generation (RAG) System: Implemented a LangChain-based document retrieval and response generation system using multiple PDFs.
• Monte Carlo Tree Search (MCTS) Optimization: Worked on MCTS-based decision-making models for problem-solving.
• Gmail Extension Development: Created an extension to enhance Gmail's functionality for improved productivity.

Passion & Vision
I am passionate about pushing the boundaries of AI and machine learning, constantly exploring new research, and applying advanced concepts to real-world problems. I aim to develop AI-driven solutions that are practical, efficient, and impactful across various domains.