I am a self-driven 👨💻, self-taught 🎓, and highly motivated🤓 young Machine Learning Practitioner, passionate about developing cutting-edge AI technologies 💫 to solve real-world problems.
Talking about Personal Stuffs:
- 👨🏽💻 I’m currently working on something cool 😉;
- I have 3 years of experience, specializing in Python and expertise in the latest Generative AI concepts including Large Language Models (LLMs) like GPT, RAG (Retrieval-Augmented Generation), Embedding, and Information Retrieval from unstructured documents (NLP concepts).
- Additionally, I have a sound understanding of Statistics, classical ML concepts, and deep learning algorithms.
- I have strong capabilities in MLOps, including Azure ML, and end-to-end deployment processes.
- Currently, I'm delving into Natural Language Processing (NLP) and learning how to build complex RAG pipelines for information retrieval using unstructured documents.
- I'm also expanding my expertise to include dynamic Time Series Forecasting pipelines.
- 💬 Ask me about anything, I am happy to help;
- 📝Resume
- Generative AI: Proficient in Large Language Models (LLMs) such as GPT and RAG, capable of generating human-like text and performing retrieval-augmented generation tasks.
- Natural Language Processing (NLP): Skilled in NLP concepts including embeddings, information retrieval, and sentiment analysis.
- Machine Learning Operations (MLOps): Experienced in deploying ML models using Azure ML and managing end-to-end deployment pipelines.
- Time Series Forecasting: Building dynamic pipelines for time series forecasting using state-of-the-art techniques.
- Cloud Deployments: Well-versed in deploying AI solutions on the Azure cloud platform, ensuring scalability, reliability, and security.
Feel free to reach out if you want to discuss AI, ML, or anything tech-related!
I have publised two research papers. You can see the edescription below.
| No. | Decription | Published | GitHub Repo | Link to Publication |
|---|---|---|---|---|
| 1. | Detection of Coronavirus(Covid19) disease using Deep Convolutional Neural Networks with Transfer Learning using chest X-Ray Images | Under Review | Code | Link |
| 2. | MLAI: An Integrated Automated Software Platform to Solve Machine Learning Problems | Published | Link | Link |
ML Competitions on HackerEarth
The following table contains all the code bases of the competitions that I participated on HackerEarth. The original repository is uploaded in my GitHub account in their respective repos. However, for easier browse through specific problem and solutions, this table may come handy to you. Keep Learning!
| No. | Challenge Name | GitHub Repo | Type | Position | LeaderBoard |
|---|---|---|---|---|---|
| 1. | HackerEarth Machine Learning challenge: Calculate the severity of an airplane accident | Solution* | Classification | 1 st / 7449 teams (Winner) | Link |
| 2. | HackerEarth Deep Learning Challenge: Snakes in the hood | Solution* | Classification | 13 th / 3389 teams (top 0.3 %) | Link |
| 3. | HackerEarth Machine Learning Challenge: Carnival Wars | Solution* | Regression | 23 rd / 2144 teams (top 1%) | Link |
| No. | GitHub repo | Description | Category |
|---|---|---|---|
| 1. | Self Driving Car using Raspberry Pi & Arduino | We optimized Canny Edge Detection algorithm incorporating with pixel intensity distribution} to identify parallel pathways which is better than existing technology.The car can detect Road Signs and can also interpret traffic Light Signal using OpenCV and controls itself accordingly by forwarding impulses to Arduino to control rotor's rotational speed | Lane & Object Detection |
| 2. | Alpha AI : Automated ML Web App | Alpha AI is an automated web platform that helps students & data scientists to dig deeper into the data, finding insights and comparing different ML models based on two use cases(Regression & Classification). | Auto ML |
| 3. | Movie-Recommendation-System | This is a Streamlit based Movie Recommendation System build on Content Based Filtering & Demographic Filtering (Plot Description , Popularity/ Genres/ Cast/ Director). Used TF-IDF Vectorizer . | Recommendation System |
| 4. | AutoScan - Text Extraction Application | Working on a Text Extraction & Labeling Application which could extract and label texts From Business Cards, PDFs and Images using tesseract, and BIO Tagging. Here is the outcome of the code. . | OCR |
| 5. | Table Transformer : Detection Of Tables Uisng Table Transformer | This Repository contains code for Detecting Tables from Images, Cropping The Tables and perform Table Extarction. | OCR |
📈 My GitHub Stats