Curriculum vitae

Researcher in artificial intelligence, speech processing and social signal processing, with experience in both academic and start-up teams.

Research interests

2021 – 2026
PhD in Computer Science
University of Hamburg, Germany
- Dissertation: Probabilistic and Generative Modeling for Emotion Recognition and Synthesis, defended February 2026
- Supervisors: Prof. Dr.-Ing. Timo Gerkmann (Signal Processing) and Prof. Dr. Nale Lehmann-Willenbrock (Industrial and Organizational Psychology)
- Probabilistic neural networks for uncertainty modeling in emotion recognition
- Diffusion- and GAN-based generative models for emotion-conditioned speech synthesis
2018 – 2020
MSc in Computer Science, Data Science track
Delft University of Technology, The Netherlands
- Thesis: Conversation Quality: Modeling in Free-Standing Conversational Groups
- Supervisors: Dr. Hayley Hung and Dr. Chirag Raman
- Courses included Pattern Recognition, Deep Learning, Multivariate Data Analysis and Social Signal Processing
2011 – 2015
BTech in Computer Science
SRM University, Chennai, India
- Courses included Neural Networks, Pattern Recognition, Probability and Queuing Theory and Genetic Algorithms

Now
Machine Learning Researcher
ai-coustics, Berlin, Germany
- Working on audio intelligence for voice AI at ai-coustics.
2021 – 2025
Doctoral researcher
Signal Processing group, University of Hamburg
- Interdisciplinary project with the Industrial and Organizational Psychology group on the recognition and synthesis of affect
2020
Research assistant
Interactive Intelligence Lab, TU Delft
- Conversational AI and social robots for social skills training
- Adaptive robot behaviour based on a partner's behavioural cues, using FurhatSDK, OpenFace and Microsoft PSI
2019
Data science intern
Momo Medical, Delft
- Moved pose detection from heuristics to data-driven modeling with time-series neural networks
- Designed the data collection pipeline from an exploratory analysis of data variance
2015 – 2018
Full-stack developer, founding employee
Terraa Farm Fresh, Bangalore
- Worked across iOS development, backend systems, deep learning and operations research for an online grocery platform
- Built order allocation and subscription ledger systems, demand forecasting (TensorFlow, Google Cloud) and analytics dashboards (BigQuery)

Teaching assistance at the University of Hamburg.

2021 – 2025
Supervised 7 bachelor's and 4 master's theses
Summer 2025
Speech Signal Processing
Winter 2024/25
Deep Learning for Multimodal Data Science; Deep Learning for Signal Processing
Summer 2024
Machine Learning
Winter 2023/24
Software Engineering

11 peer-reviewed papers and chapters, including IEEE Transactions on Affective Computing, ICASSP, Interspeech, ASRU and ACII.