Headline

Evaluation Systems Expert | GEN AI evals | Immediate Joiner | Senior Data Scientist - DL & NLP | AI Researcher

About

Hello, I am Ishan Adhaulia. I have done my masters from Universität Stuttgart and bachelors from Indian Institute of Information Technology, Allahabad. Currently, I am looking for full-time opportunities in organizations to test my technical and soft skills and work for the growth of the organization as a whole. I am passionate about Machine Learning, AI, NLP and Speech Technologies. I was awarded 1.0 for my masters' thesis titled "Style modeling in End-to-End Speech Synthesis". I have also lead the team for the foundation for End-to-End Speech Synthesis in the institute where I have developed a novel approach for style modeling based on adversarial autoencoders in speech synthesis. During my stay at Indus OS, I have successfully delivered projects as a full stack developer. I was promoted to Senior Software Engineer position within 1 year and managed a team of three people. Just drop a mail at erishan6@gmail.com or ring me at +919643987429 to connect with me.

Location

Bengaluru

AI stack

claude code

claude

gemini

hugging face

Work experience

AI Engineer - Evaluation Systems at Turing, Apr 2024 - Present · 2 yrs 6 mos, Palo Alto, CA

Senior Data Scientist at Freelancer, Mar 2023 - Apr 2024 · 1 yr 2 mos, Bengaluru, Karnataka, India

Caregiving at Career Break, Oct 2022 - Feb 2023 · 5 mos, Bengaluru, Karnataka

Senior Data Scientist at WorkLLama, Feb 2022 - Sep 2022 · 8 mos, Bengaluru, Karnataka, India

Senior Data Scientist Consultant at WorkLLama, Mar 2020 - Feb 2022 · 2 yrs, Bengaluru, Karnataka, India

Data Scientist, Research at University of Stuttgart, Oct 2017 - Sep 2019 · 2 yrs, Stuttgart Area, Germany, 1. Style Modeling in End-to-End Speech Synthesis(2019): Design and implementation of novel style modeling approach based on adversarial autoencoder for learning latent representations for style control and transfer in end-to-end speech synthesis. – Foundation for the End-to-End Speech Synthesis project at the Institut für Maschinelle Sprachverarbeitung (IMS). – Current state-of-the-art implementations e.g. Global Style Token Tacotron and Variational Autoencoder Tacotron. – Novel style modeling algorithm based on Adversarial Autoencoders. – Built male and female voice models. – Experiments on style control in terms of disentanglement, interpolation, and combination were performed and showed great promise for future research in speech augmentation. – Experiments on style transfers were performed and the proposed model outperformed the existing state-of-the-art models in AB preferential tests. 2. Implicit Emotion Word Recognition Using Deep Learning(2018): Developed an implicit emotion word recognition model using convolutional neural networks(CNNs) for recognizing the emotional word absent in the sentence. – The project was implemented for Implicit Emotions Shared Task’ (IEST) – To predict the emotion of a tweet based solely on the context surrounding an emotion word that is absent from the sentence. – Qualitative and quantitative analysis was performed on the model’s output. 3. Sentiment Analysis of Amazon Product Reviews Using Domain Adversarial Training(2017): Developed a sentiment classifier for Amazon product reviews while addressing the problem of Domain Adaptation. – Various modeling techniques were implemented ie single domain-based and cross-domain adversarial training approach. – Two different sets of training regimes were tested for the cross-domain adversarial training approach. – Experiments on the effects of different types of activation functions and optimizers in the deep neural network models were performed and analyzed.

Education

Master of Science - MS, Computational Linguistics, University of Stuttgart

Bachelor of Technology (B.Tech), Information Technology, Indian Institute Of Information Technology allahabad

Public links

github: https://github.com/erishan6