Manjara

Working primarily in the Natural Language Processing (NLP) domain, focusing on fine-tuning and customizing Large Language Models (LLMs) for specific tasks., Building and optimizing data pipelines to support AI model development and deployment workflows., Analyzing, evaluating, and comparing the performance of different LLMs, Speech-to-Text (STT), and Text-to-Speech (TTS) models., Fine-tuning and customizing AI models, building AI agents, and evaluating their performance to solve domain-specific problems., Maintaining a clean, version-controlled codebase to support collaborative development and ensure reproducibility., Contributing to R&D initiatives, exploring advanced NLP techniques and implementing new tools to enhance model performance.

Gathered, prepared, and analyzed datasets to support various machine learning initiatives, particularly in the agricultural domain., Designed, developed, and evaluated machine learning models to address real-world challenges., Conducted continuous research on emerging technologies, algorithms, and methodologies to stay current with state-of-the-art ML advancements., Identified and implemented innovative solutions for complex machine learning problems through R&D-driven approaches., Contributed to developing and deploying machine learning models as API services, functioning as a deep backend engineer., Upgraded and optimized the existing codebase for better performance, efficiency, and scalability., Managed and maintained GCP (Google Cloud Platform) machines to ensure seamless operations and team productivity., Collaborated closely with cross-functional teams to deliver scalable and reliable AI solutions.