π― AI/ML Engineer | Data Scientist | Software Developer
Passionate about building intelligent systems, crafting predictive models, and developing scalable software solutions that solve real-world problems.
I'm an enthusiastic problem solver who loves transforming ideas into AI-driven solutions. From time-series forecasting and deep learning applications to algorithmic trading systems and smart manufacturing β I thrive on applying AI to domains that matter.
- π Currently exploring advanced deep learning models and AI applications in manufacturing.
- π Actively contributing to AI/ML projects, open-source repositories, and software tools.
- π Lifelong learner always hunting for innovative tech to master!
Hereβs a snapshot of what I bring to the table:
- π€ Machine Learning β LSTM, CNN, ANN, RNN, Transformers, Regression, Classification
- π§ Deep Learning β TensorFlow, PyTorch, Keras
- π Data Science β Data Cleaning, Preprocessing, EDA, Visualization (Matplotlib, Seaborn)
- π Algorithmic Trading β Strategy development, backtesting, optimization
- π₯οΈ Software Development β Python, SQL, Git, Docker, REST APIs
- βοΈ Cloud & Deployment β AWS, Streamlit, MLflow
- π» Web Development β HTML, CSS, JavaScript, Django, Flask
A few projects I'm particularly proud of:
π Project | π What itβs About | π Link |
---|---|---|
ποΈ IntelliFAQ---AI-Powered-Smart-Query-Assistant | The FAQ Assistant is a Django-based intelligent question-answering system designed to provide accurate and efficient answers to user queries. It leverages a hybrid approach by combining a database of predefined FAQs with the power of Large Language Models (LLMs) for dynamic query handling. This ensures that users get the best possible answers. | π View Repo |
πΌοΈ Image Segmentation & Object Analysis | AI-powered pipeline for segmenting images, identifying objects, generating descriptions, and displaying results on a Streamlit dashboard. | π View Repo |
π Data-Driven Fluid Mechanics | Computer vision and data extraction from fluid flow videos to analyze dynamic behavior in experiments. | π View Repo |
Hereβs a quick glance at my activity and tech stack preferences:
β‘ Consistent contribution is the secret to steady growth!
Would love to connect with fellow developers, data scientists, and AI enthusiasts! Reach out for collaborations, project discussions, or even random tech talks. π
β¨ Let's build AI solutions that make a difference! β¨