Lokesh Madasu

AI Researcher

Hyderabad, Telangana, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Natural Language Processing and Machine Learning.
Developed a large Human Annotated Dataset for Telugu summarization.
Experience in data scraping and cleaning for multilingual datasets.

Stackforce AI infers this person is a Data Scientist specializing in Natural Language Processing and Machine Learning for multilingual applications.

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Skills

Core Skills

Natural Language Processing (nlp)Machine LearningData CollectionData GatheringData Cleaning

Other Skills

AlgorithmsAnalytical SkillsArtificial Intelligence (AI)C (Programming Language)Computer VisionConversational ChatbotsData AnalysisData AnalyticsData ScienceData VisualizationDeep LearningExploratory Data AnalysisGenerative AIHTMLJavaScript

Experience

International institute of information technology hyderabad (iiith)

2 roles

Student

Jan 2022 – Present · 4 yrs 2 mos · Hyderabad, Telangana, India

Working on text generation problems, creating high-quality datasets using crowdsourcing, with a primary focus on low-resource Indian languages.
Exploring the performance of state-of-the-art pre-trained models on Indic language datasets, specifically in tasks such as summarization and headline generation.

Large Language Models (LLM)Natural Language Processing (NLP)Data AnalysisData VisualizationMachine Learning

Research Intern

May 2020 – Dec 2021 · 1 yr 7 mos · Hyderabad, Telangana, India

Developed site-specific web scrapers to collect high-quality data from a variety of news websites in 8 Indian languages, resulting in 4.8 million news article-headline pairs for the headline generation task.
Played a key role in the creation of a first largest Human Annotated Abstractive Summarization Dataset for Telugu.

Web ScrapingData CollectionData CleaningNatural Language Processing (NLP)

Selekt.in

Data Engineer

Sep 2017 – Dec 2017 · 3 mos · Mumbai Metropolitan Region · On-site

My primary focus was on tasks such as data gathering, cleaning, and extracting valuable information from diverse web sources. The preprocessed data was then stored in MongoDB databases for various analytical purposes. Additionally, I woked on conversational chatbots, using technologies like Wit.ai and Recast.ai.

Data GatheringData CleaningMongoDBConversational Chatbots