G
Gayatri Dube
About
Detail
Maharashtra, India
Résumé
Jobs
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Machine Learning EngineerFreelancerJan 2025 - Current (1 year 5 months)• Designed and deployed machine learning models for real‑time content recommendation, speech recognition, and computer vision applica‑ tions.. • Built scalable retrieval‑augmented generation (RAG) systems for improving NLP pipelines and chatbot interactions. • Developed deep learning models for content moderation and automated tagging of media assets, enhancing metadata management. • Optimized ML pipelines for production deployment, ensuring high efficiency, low latency, and scalability. • Conducted applied research in generative AI, leveraging transformers, reinforcement learning, and memory‑augmented networks to improve model adaptability.- BProject TraineeBhabha Atomic Research CenterAug 2023 - Jul 2024 (1 year)• Conducted advanced AI research to develop ML algorithms for malware detection, achieving a weighted F1 score of 78.88%. Fine‑tuned Se‑ cRoBERTa and SecBERT models, increasing detection precision by 15% in critical classes. • Fine‑tuned SecRoBERTa and SecBERT models, with SecRoBERTa emerging as the top performer, increasing detection precision in critical classes. • Designed and implemented ML algorithms for malware detection, including fine‑tuning LLM models like SecRoBERTa, improving detection precision by 15% on critical classes. • Collaborated with cross‑functional teams, including software developers and data scientists, to deploy AI models in real‑world environme.
Education
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- VMtech.VIT UniversitySep 2022 - Aug 2024 (2 years)
- MM.TechJun 2022 - Jun 2024 (2 years 1 month)
- BEInternational Institute of Information TechnologyJun 2017 - Jul 2021 (4 years 2 months)
Projects (professional or personal)
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- SStableSAM: Stable Diffusion Inpainting with SegmentAnythingOct 2023 - Apr 2024 (7 months)• Developed an AI‑based Generative Inpainting system using Stable Diffusion and Segment Anything, optimizing data pipelines and architecture to enhance generative capabilities for image editing. • Optimized data pipelines and deep learning architectures, contributing to advancements in Generative AI for large‑scale image editing systems.
- BBing‑GPTVoiceAssistantOct 2023 - Apr 2024 (7 months)• Built a voice‑controlled AI assistant leveraging NLP and Speech Recognition technologies, integrating OpenAI Whisper and AWS Polly, show‑ casing expertise in LLMs and real‑time data processing. • Optimized data pipelines for seamlessvoice data management, ensuring high performance in real‑time applications.
- SSentimentAnalysis Using BERT TransformerSep 2023• Fine‑tuned the BERT Transformer model for sentiment analysis, optimizing data pipelines to enhance model training efficiency and perfor‑ mance across large‑scale sentiment classification tasks. • Applied hyperparameter optimization and advanced fine‑tuning techniques to improve the model's performance on large datasets, ensuring faster and more accurate sentiment classification results.
- EEyeball Based Cursor MovementMar 2023 - Jun 2023 (4 months)• Engineered a real‑time eye‑tracking system using Python, OpenCV, and Mediapipe for precise cursor control, integrated with PyTorch for AI inference. lighting holders.