Amin Nagiwale

Data Scientist with 13+ years of experience in Big 4 consulting and national R&D (DRDO). Skilled in architecting data lakes and building scalable big data pipelines using Apache Spark and Kafka. Recently focused on large language models (LLMs), specializing in fine-tuning, multi-modal reasoning, and transformer optimization for production AI. Recognized with awards from IEEE Best Paper Award (2024),DRDO, Deloitte for technical leadership and innovation

• Large Language Models (LLMs): Fine-tuning, CoT and GRPO Reinforcement Learning, Transformer Optimization, LLaMA 3.2 Vision, GPT-based architectures. 

• Multimodal AI: Multimodal AI: Text-Vision-Sensor Fusion, Scene Understanding, Trajectory Prediction, Autonomous Decision-Making. 

• Deep Learning Frameworks: Experience of PyTorch, Hugging Face, wandb,Spark NLP, NLTK, Naïve Bayes, transformer Models 

• Big Data Technologies: Extensive experience with Apache Spark, Spark Streaming, Kafka Streaming, Hive, HBase, MongoDB. • Data Lake & streaming Pipelines: Designed and developed a schema-less streaming framework using Apache Kafka and Spark to ingest data into Hadoop.

Master of Engineering in Computer Engineering| Mumbai University 

Bachelor of engineering in Computer Science and Eng.| Shivaji University