Adhithyan Ramadoss

• Neural model quantization - inference on small-footprint embedded devices - Android devices / Raspberry Pi • Compact Neural Text-to-Speech (TTS) solutions (<30 MB) • Demo with various LLMs (GPT, LLaMA, Phi etc) for Q&A based on a given document with RAG • Training of BERT masked language models (<25 MB) for English, French, Italian, German and Spanish, built Punctuation and Capitalisation solutions using the BERT models • Inverse Text Normalization using Finite State Transducers

• Neural model training for NLU tasks such as Intent classification, Entity Recognition, Coreference resolution, etc. • Development of dialogue flow pipeline, test cases for the system pipeline - including the development of automatic test script generators • Dataset management and handling in an internal MongoDB database • Model uncertainty analysis with Bayesian Neural Networks

• Estimation of the performance of different probability distribution function assumptions in maximum likelihood estimation of reverberation time (T60). • Collection and assimilation of various Room Impulse Response (RIR) databases. • Measurement and documentation of RIRs for RIR dataset creation and sensor utility evaluation. • Teaching assistant in “MATLAB prep course" for incoming students WS18/19. • Software tools used: Matlab.

• Preparation of Georgian music dataset for further processing. • Fundamental frequency (F0) estimation of Georgian music. • Teaching assistant in “MATLAB prep course" for incoming students WS17/18. • Software tools used: Matlab.

• Involved in the Procurement cycle (bid Launch to material delivery at project site) of mechanical, electrical and instrumentation equipment for oil & gas, and petrochemical plants. • Coordinated between supplier and project sites. • Supplier visits and audits. • Site Engineer in Purified Terephthalic Acid project Site in Mangalore,India. • Automation of procurement data entry cycles. • Software tools: Microsoft office package, VBA, Intergraph Smart Materials, proprietary ERP tool from IFS.

Focus on • Digital signal processing - Audio, Image and video processing • Communication technologies