A Data Science Enthusiast with an Entrepreneurial Mindset, dedicated to solving real-world problems through cutting-edge Artificial Intelligence and state-of-the-art models. Passionate about bridging the gap between innovation and practical solutions, I aim to create meaningful impact using AI technologies.
Hello, I'm Adarsh, a passionate researcher and aspiring innovator, currently working as a Project Associate at the Spring Lab, IIT Madras.
My Work:
I specialize in cutting-edge projects like Text to Speech(TTS), Units to Speech(UTS), Audio Tagging, Automatic Audio Captioning. My goal is to bridge the gap between complex audio data and practical applications, making information more accessible and intelligible through innovative machine learning solutions.
Beyond the Lab:
Apart from my research work, I am always looking to broaden my skills and stay up-to-date with the latest developments in AI and machine learning. I'm deeply interested in Multimodal AI.
Let’s Connect:
I'm always open to collaborating on interesting projects or discussing the latest in tech and research. Feel free to reach out to me!
IIIT, RK Valley - AP
2021 - 2025
IIIT, RK Valley - AP
2019 - 2021
Spring Lab, IIT Madras
October 2025 - Present
- Working on Text-to-Speech (TTS) for low-resource Indian languages and Speech-to-Speech Translation under the mentorship of Prof. S. Umesh.
Speech Information Processing Lab, IIT Hyderabad
May 2024 - Aug 2025
- Working on Autotagging and Automatic Audio Captioning to improve the metrics of the Automatic Audio Captioning system under the mentorship of Prof. K Sri Rama Murty Sir.
- Analyzing real-time inference timings for deploying the system on ROS using Jetson Orin for enhanced performance in practical applications.
IIM Kozhikode
May 2024 - June 2024
- Collected and preprocessed data through web scraping from diverse online sources, ensuring accuracy and reliability for academic research under Prof. Salman’s supervision sir.
- Employed advanced topic modeling techniques to uncover underlying patterns and utilized regression analysis to derive actionable insights, contributing significantly to research advancements.
Study Comrade Pvt Ltd
Sep 2022 - Jan 2024
- Worked as a hybrid team member at Study Comrade for two years, managing student batches and leveraging analytical insights to enhance learning outcomes.
- Mentored students in project development, curriculum preparation, and maintained the website for seamless functionality and an engaging user experience.
Execelerate
Aug 2023 – Sep 2023
- Conducted detailed analysis of campaign performance using metrics such as UTC, URL, CPR, and CPC, leveraging Power BI to design interactive dashboards and provide actionable insights for data-driven decision-making.
Working on a project as part of the DCASE (Detection and Classification of Acoustic Scenes and Events) challenge, which generates descriptive captions for audio clips by analyzing audio features. The system uses deep learning models to transcribe and describe the content of the audio automatically. The goal is to assist accessibility and improve user experiences in multimedia content by providing real-time audio captions, aligning with the task of sound event detection and classification in the DCASE challenge.
This project involves the use of computer vision and deep learning to automate the detection of defective eye lenses during the manufacturing process. The AI model identifies defects such as scratches, cracks, and other imperfections, improving the overall quality control process and reducing human error.
Developed an interactive chatbot using Streamlit to assist students with depression, utilizing NLP for query understanding, personalized suggestions, and a depression assessment tool for sentiment analysis and resource recommendations.
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Fine-tuned the PANN CNN14 model for sound event detection across 18 classes, integrated it with ROS for real-time classification, and enhanced robustness through data augmentation and feature extraction.
To maintain privacy, certain code details have been omitted.
Developed a system to enhance attendance management efficiency, accuracy, and convenience, featuring a user-friendly interface for managing records and generating reports, using HTML, CSS, JavaScript, MS SQL Server, and Flask.
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Conducted stress analysis based on data from 800 participants, identifying key stressors, their impact, and changes in behavior, with a focus on age group differences.
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Analyzed time series data from 45 Walmart stores using SARIMAX, informing sales forecasting and strategic decisions.
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This project involves creating an interactive sales dashboard using Power BI to visualize and analyze sales data from a global superstore.
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Organization: IIT M Pravartak and Intellipaat
Duration: February 2023 - March 2024
Organization: Indian Institute of Technology Hyderabad
Organized by: Department of Entrepreneurship and Management, IIT Hyderabad and BVR SCIENT
Duration: 28, May 2024 - 29, May 2024
Organization: Indian Institute of Management Kozhikode - IIMK
Organized by: Under Prof. Salman’s supervision
Duration: May 2024 - June 2024
Organized by: MATH AI & ML Tech Hub, Idealabs FutureTech Ventures and TalentFarm.ai
Supported by: T-Hub, Hyderabad and Government of Telangana
Duration: 36hrs, 4 Sep 2024 - 5 Sep 2024
KS School of Engineering Management
Feb 12 - 15, 2024
On Day 1, we introduced the fundamentals of SQL databases, focusing on data manipulation and querying. Students explored JDBC-ODBC connectivity to link databases with Java applications.
Day 2 was dedicated to front-end technologies like HTML, CSS, and JavaScript. We worked on creating interactive web pages, using HTML for structure, CSS for styling, and JavaScript for dynamic functionality.
On Day 3, we covered Flask for building dynamic web applications and explored practical techniques in data analysis. Students learned to analyze data effectively and apply it within a Flask web app context.
National Service Scheme (NSS)
Dec 2022 - Nov 2024
- Actively participated in NSS activities, organizing social initiatives, awareness campaigns, and community engagement events to foster social responsibility and contribute to national development.
Helping Hands Organization
May 2020 - Aug 2024
- Played a pivotal role in fundraising activities for Helping Hands Organization, organizing events, campaigns, and leveraging social media to gather resources and support for various social welfare initiatives in IIIT RK Valley.
IIIT RK Valley
2019 - 2022
- Coordinated alumni relations at IIIT RK Valley, organizing events and building strong connections with past graduates to foster collaboration, career guidance, and networking opportunities.
National Cadet Corps (NCC)
Jan 2016 - Nov 2018
- Led NCC activities, organizing training camps, parades, and other events to encourage leadership, discipline, and community service among students.
Name: Arigala Adarsh
Email: arigalaadarsh780@gmail.com
Education: B.Tech in Computer Science and Engineering, 2025 Passout
