Tejasvi Sharma — AI Researcher

I am Tejasvi Sharma, an Applied Scientist with over 5 years of experience in Data Science and Machine Learning, specializing in scalable Natural Language Processing (NLP) solutions for multilingual platforms. My journey has been driven by a passion for innovation and a commitment to enhancing user experiences through advanced AI technologies. At Amazon Prime Video, I lead initiatives focused on multilingual subtitle translation and quality estimation, where I design and deploy end-to-end ML pipelines that cater to large-scale digital entertainment applications. Throughout my career, I have developed a strong expertise in Machine Translation, Quality Estimation, and Generative AI. I am proud to have contributed to significant projects, such as the development of a prefix-tuning approach for subtitle translation that improved readability and reduced length overflow. My academic background includes an M.Tech in AI from IISc Bangalore, where I was recognized for my problem-solving skills, securing 2nd place at the Flipkart–IISc Hackathon. I am excited to continue pushing the boundaries of AI and NLP to create impactful solutions. Key Achievements: - Developed a length-controlled subtitle translation model, improving readability by 10-15%. - Achieved 95% precision in subtitle quality estimation, enabling automated quality control. - Revamped a multilingual spell checker, enhancing accuracy to 70% precision and reducing manual review efforts. - Prototyped innovative Generative AI solutions for accessibility and content discovery, including a chatbot for movie discovery and alt-text generation for visually impaired users.

Stackforce AI infers this person is a Digital Entertainment NLP Specialist with a focus on Machine Learning and Generative AI.

Location: Bengaluru, Karnataka, India

Experience: 5 yrs 7 mos