---
title: "Ishan Adhaulia - AI Engineer - Evaluation Systems in Bengaluru | Tal"
description: "Meet Ishan Adhaulia, Evaluation Systems Expert | GEN AI evals | Immediate Joiner | Senior Data Scientist - DL & NLP | AI Researcher based in Bengaluru. AI stack includes claude code, claude, and gemini. Explore public work links including github."
image: "https://tal.club/meet/ishan-adhaulia/share-image"
---

# Ishan Adhaulia on Tal

## 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

[View the original profile](https://tal.club/meet/ishan-adhaulia)

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