Summary
Akash Gautam is a Research Engineer specializing in NLP, LLMs, and Generative AI with nine years of experience building applied AI systems for finance and real estate. He designs end-to-end GenAI pipelines, pioneers domain adaptation techniques (soft prompting and parameter-efficient methods), and created a proprietary benchmarking framework to evaluate LLMs on domain-specific tasks. His work spans production engineering—data standardization, scalable integration of vLLMs—and research contributions accepted at NAACL 2024 on document-aware in-context learning. Comfortable moving between research and product, he has industrial experience at Bosch BCAI and UnitedHealth as well as academic roles at DFKI and Saarland, and he often bridges multilingual model adaptation with practical web visualization and deployment. An uncommon strength is his focus on unified data formats that speed cross-domain collaboration and reproducible evaluation for downstream financial and real estate applications.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Technology, Computer Science and Engineering, Bachelor of Technology, Computer Science and Engineering at Indraprastha Institute of Information Technology, Delhi
Master of Science - MS, Language Science and Technology, Master of Science - MS, Language Science and Technology at Universität des Saarlandes
Class 12th CBSE Board (94.00%), Class 12th CBSE Board (94.00%) at Amity International School Mayur Vihar
Class 10th (10.00 CGPA), Class 10th (10.00 CGPA) at Delhi Public School Indirapuram
Hindi, English