Summary
Ashish Agrawal is a research-oriented machine learning engineer with 8 years of experience building production-ready ML systems, cloud-native architectures, and scalable data pipelines. Currently a Research Engineer at IBM Research contributing to Granite’s foundational LLMs and RL-based post-training, he previously earned the Best M.S. Thesis Award at IIT Bombay for work on cross-lingual transfer in large language models. His background spans end-to-end applied ML and backend development—deploying Kubernetes and serverless solutions, implementing Spark/Kafka/RabbitMQ streaming processors, and shipping Spring Boot microservices for real-time analytics (notably for the Infosys Tennis Platform used in Grand Slam events). He combines research rigor with production discipline from internships and projects at Amazon and multiple startups, and has a track record of translating model research into deployable features like AI-generated highlights and court-vision analytics. Ashish is comfortable bridging low-resource language research and large-scale engineering, and often explores novel intersections of NLG, vision, and systems engineering in his side projects and talks.
8 years of coding experience
3 years of employment as a software developer
Hsc, Mathematics and Computer Science, Hsc, Mathematics and Computer Science at Parle Tilak Vidyalaya Associations Sathaye College Dixit Road Vile Parle East Mumbai 400 057
Indian Institute of Technology Bombay
Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering at Veermata Jijabai Technological Institute (VJTI)
English, Hindi