Managing computer vision projects related to pose estimation, camera calibration, object detection and instance segmentation. Building APIs and deploying ML interfaces for realtime inference.

Conducted R&D on various ASR and STT models for developing a real-time speech-to-speech translation library with low latency and high accuracy.

Mainly worked as an AI research intern focusing on writing literature surveys on topics like Automatic Text Summarization (ATS). Used a news articles dataset to fine-tune BERT for abstractive and extractive text summarization tasks and evaluated results using the ROUGE metric.

Worked on data ingestion of company clients by scraping web data, preprocessing it and uploading it to the vector database. Implemented CI/CD for automated data updates.

Worked under my team lead conducting R&D on AI platforms like Vellum to support the company's transition to a no-code environment and contributed to the company's RAG workflow using prompt engineering.

Conducted data collection and preprocessing using Google Forms and Microsoft Excel. Applied ML classifiers for unsupervised learning and evaluated results. Submitted a research paper highlighting the impact of ICT on education during the COVID-19 pandemic and presented it at the NOMSA conference 2021 held in South Africa.