A dedicated Machine Learning Engineer focused on building practical AI systems. I specialize in training, fine-tuning, and deploying machine learning models for real-world applications. I enjoy transforming data into actionable insights and continuously exploring new technologies to make a positive impact.
Experience
Junior Machine Learning Engineer Mar 2024 ā Present
Implemented Transformers and RNN architectures for NLP tasks such as sentiment analysis and text classification.
Fine-tuned pre-trained models like BERT and GPT using transfer learning and hyperparameter optimization.
Performed large-scale data preprocessing, cleaning, normalization, and feature engineering.
Collaborated with cross-functional teams through peer reviews, brainstorming sessions, and testing cycles.
Projects
UBTS (User Behaviour Tracking System)
AI-driven system generating intelligent suggestions from image data.
Used BLIP for image captioning
PaddleOCR for object detection
GLiNER for named entity recognition
DocGPT
News research assistant for equity analysts using LLMs.
Built with LangChain, OpenAI API, Streamlit
Automated article ingestion and Q&A retrieval
First Aid Chatbot
NLP-powered chatbot for first aid guidance.
Bag-of-Words with one-hot encoding
ANN trained using backpropagation & gradient descent