Machine Learning Engineer | LLMs ยท CV ยท NLP ยท Cloud
Machine learning engineer with 4+ years of experience specializing in NLP, computer vision, and generative AI applications. Proven track record of implementing end-to-end ML systems including LLM fine-tuning and RAG architectures, delivering up to 85% performance improvements and 70% efficiency gains in production environments.
Fine-tuned Llama-3.2-3B-Instruct for Odia language using QLoRA technique with parameter-efficient training (r=32). Created 52,001-sample augmented instruction dataset using IndicTrans2, implementing cross-lingual and native Odia instruction processing. Transformed the model from minimal Odia text capability to native-level fluency, improving language generation quality by approximately 85%. Deployed to HuggingFace Hub with zero-GPU inference support for accessibility.
Built ensemble prediction system using text, user history, and temporal features on 568K reviews. Implemented TF-IDF vectorization, custom feature engineering, and SMOTE resampling. Combined Random Forest, Gradient Boosting, and Logistic Regression models achieving 90% accuracy with real-time prediction capability.