3+ Projects
"Academic AI/ML implementations"
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"Gaining experience & expertise"
10+ Applications
"Explored AI across domains"
Unlocking Intelligence with AI & ML Solutions
AI and ML are transforming the digital world, and I have extensively explored these fields during my M.Tech in AI and Data Science. While my experience is primarily academic, I have developed a strong understanding of machine learning algorithms, model training, and NLP applications.
Artificial Intelligence and Machine Learning are transforming the way we interact with data, automate processes, and build intelligent systems. With hands-on experience in multiple AI/ML models, I have exprience in developing simple systems and implementing algorithms to drive predictive insights, personalization, and automation. From recommendation engines to AI-powered chatbots, I leverage cutting-edge techniques to create smart, data-driven solutions.
Strategy & Model Development
I have studied and implemented various machine learning techniques, including:
✔ Supervised Learning – Algorithms like Linear Regression, Logistic Regression, Decision Trees, Random Forest, Support Vector Machines (SVM), and K-Nearest Neighbors (KNN).
✔ Unsupervised Learning – Clustering and pattern recognition without labeled data, such as K-Means and Hierarchical Clustering.
✔ NLP & Large Language Models (LLMs) – Working with text-based AI, training models, and implementing Retrieval-Augmented Generation (RAG) for more intelligent responses.
Effective Execution
Bridging the gap between theory and practical implementation, I have built and deployed various AI-driven applications.
✔ Personalized Chatbots – AI-based conversational agents trained on domain-specific data.
✔ Recommendation Systems – Tailored suggestions based on user behavior and data patterns.
✔ Prediction Models – Building intelligent systems for forecasting trends and making data-driven decisions.
✔ LLM Training & RAG Implementation – Customizing large language models and enhancing them with Retrieval-Augmented Generation (RAG) for contextual accuracy.
- Simple Machine Learning Model Development
- Data Preprocessing & Basic Feature Engineering
- Supervised & Unsupervised Learning
- Retrieval-Augmented Generation (RAG)
- Deep Learning & Neural Networks Concepts
- AI-Powered Chatbots & Virtual Assistants
- Recommendation & Prediction Systems
- AI for Data Analysis & Business Intelligence
Why Work With Me?
✅ Strong theoretical and practical understanding of AI/ML concepts.
✅ Hands-on experience with algorithm implementation in real-world scenarios.
✅ Passion for AI-driven problem-solving and continuous learning.
I am eager to expand my expertise and apply AI/ML solutions to real-world challenges!