Jun 2022 – Mar 2023 · 9 mos · Karlsruhe, Baden-Württemberg, Germany

• ● Working with AI/ML Engineering team on real-time voice transcription and translation. By developing in-house
• automatic speech recognition (ASR) and Machine Translation (MT) algorithms with coverage for multiple languages in
• real-time.
• ● Built a Profanity word Censoring in real-time Zoom Meeting Transcription and Translation
• ● Developed a basic framework for internal Quality Testing and monitoring

May 2020 – May 2022 · 2 yrs · Bengaluru, Karnataka, India

• Tivo was later merged with Xperi.

Jul 2019 – Jun 2022 · 2 yrs 11 mos

• team - Advance Search and Recommendation
• Working on Conversation product with focus in identifying contexts, dialogue, intent and action analysis with machine learning model improvement and classification.
• mainly works with Machine learning algorithms and model generation, data engineering , training and generating data for machine learning, developing algorithms for enhanced conversation experience. along with that it includes AWS instance setups knowledge, docker setups, data publish.

Jun 2018 – Jul 2019 · 1 yr 1 mo

• As TiVo, we want to have the best entertainment-focused voice solution on the market. But entertainment doesn't mean just video - it means music as well. As such, we want to enable the NLU (and search) to support the music domain. I worked on this project and did the following:
• Generated music data (albums, songs, artist, tracks, songs, genre, decade) from the meta data dumped.
• Generating graph for music space; created graphs with all interlinked associations and relations of each entities.
• Merging music data and video data.
• Merging and relating video and music graph; making both universe of graphs into a single compatible graph.
• Compressing the generated graph (edges, nodes and meta) into a processable size of data without loss of relationships.
• Testing with existing scenarios and test cases for the music and video data.
• Automated the process of music combined with video data generation through setting up ec2 machines and with an automated shell script to trigger the entire process.

Jul 2017 – Jun 2018 · 11 mos

• TEAM: Meta Data Knowledge Graph Team
• Period: July – December
• Mining data from various source.
• Extracting sensible content from Big data.
• Analyzing and using Natural Language Understanding/Processing Methods
• Scripts Adaptive for 6 different languages according to sources.
• Name validation script for any given language.
• Links and important text extraction script.
• TEAM: Advanced Search and Recommendation Team
• Period: January – Present
• Working as Full Stack developer.
• Technology used: Django, Python, MySQL, JavaScript ,NLP, Data analysis.
• I worked with an internal proprietary tool, which is dedicated for creating, improving and maintaining our search results and smart responses.
• Filter out conversation and test cases based on various scenarios.
• Training models to auto create test cases by Machine Learning.
• Designing, mapping, normalization and optimization of Database and it's Architecture.

Jun 2017 – Jul 2017 · 1 mo · Jalandhar, Punjab, India

• TEAM: A.I team
• Worked as MEAN Stack Developer.
• Developed a web data crawler to read blogs/websites online, for creating subject and business
• aware summary of the blog/website.
• Providing necessary service for the author/organization to promote and help their business to
• carry forward in more efficient and future predicted way.