Bhagyashree Gaikwad
Senior Data Scientist
Hyderabad
Summary
Seasoned AI professional with 7+ years of experience building and deploying production-grade systems across NLP, Computer Vision, Machine Learning, and Generative AI. Currently leading the development of AI-driven cyber threat intelligence solutions at Cyble, delivering high-impact systems including automated large-scale threat report generation (800+ reports/year) and significant reduction in false positives - earning recognition as a top performer. Previously an AI Researcher at TCS Research, contributing to cutting-edge work with publications at premier venues including ICCV (Best Paper Award) and AAAI workshops. Combines strong research foundations with hands-on product engineering to build scalable, high-impact AI systems. Holds a Master’s degree from IIT Bombay, with a strong academic foundation and a proven ability to translate research into real-world AI systems.
Overview
7
7
years of professional experience
Work History
Senior Data Scientist
Cyble
10.2022 - Current
- Building AI-powered cyber threat intelligence systems that transform large-scale, unstructured data into actionable insights - reducing analysis time from hours to minutes.
- Driving the adoption of LLMs for intelligent automation, including alert prioritization, content generation, and decision support - significantly improving signal quality and operational efficiency.
Designing hybrid AI architectures (LLMs + NLP + rule-based systems) to deliver explainable, high-precision outcomes in complex, real-world environments. - Developing advanced detection systems across text and visual modalities to identify emerging risks such as impersonation and deceptive patterns.
- Leading end-to-end deployment of scalable, production-grade AI solutions, working cross-functionally with engineering, product, and domain experts.
AI Researcher
TCS Research & Innovation Labs
07.2018 - 10.2022
- Conducted research across NLP, multimodal learning, and deep learning, contributing novel architectures and publishing at leading AI venues.
- Developed advanced multimodal AI systems combining vision and language understanding for complex classification tasks, achieving strong performance on real-world benchmarks.
- Built end-to-end generative and retrieval pipelines leveraging transformer architectures to convert unstructured visual and textual data into meaningful outputs.
- Designed semantic search and similarity systems using embedding-based approaches to enable intelligent information retrieval from large-scale datasets.
- Applied machine learning techniques to structured data problems, transforming complex inputs into predictive and summarization frameworks.
- Modeled real-world systems using data-driven and optimization approaches to support decision-making under constraints.
Education
M.Tech - Geoinformatics & Natural Resources Engineering
Indian Institute of Technology Bombay (IIT Bombay)
B.Tech -
Walchand College of Engineering
SangliSkills
Python Specialist
AI: Generative AI, Prompt Engineering, RAG, NLP, Computer Vision, Machine Learning
AI Platforms: Claude, Cursor, OpenAI and Gemini APIs
Tools & Libraries: PyTorch, TensorFlow, HuggingFace Transformers, Git, Docker
Data & Infrastructure: MongoDB, MySQL, AWS S3, Devtron
Timeline
Senior Data Scientist
Cyble
10.2022 - Current
AI Researcher
TCS Research & Innovation Labs
07.2018 - 10.2022
M.Tech - Geoinformatics & Natural Resources Engineering
Indian Institute of Technology Bombay (IIT Bombay)
B.Tech -
Walchand College of Engineering
Awards
- Top Performer, Cyble, 2024
- TCS Citation Award, 2022 (Received twice)
- Best Paper, ICCV 2021 Workshop on AI for Creative Video Editing and Understanding
Publications
- Gaikwad, B., et al. "Plots to Previews: Towards Automatic Movie Preview Retrieval using Publicly Available Meta-data" Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021.
- Gaikwad, B., et al. "Can a Pretrained Language Model Make Sense with Pretrained Neural Extractors? An Application to Multimodal Classification" AAAI Workshop on Multimodal Fact-Checking and Hate Speech Detection, 2022.
- Saurabh, S., Trivedi, A., Lokesh, N. P., Gaikwad, B. "Sustaining the Economy under Partial Lockdown: A Pandemic-Centric Approach" arXiv preprint, 2020.
Relevant Courses
- Agentic AI - Andrew Ng (DeepLearning.AI)
- Machine Learning – Andrew Ng (Stanford)
- CS231n – Convolutional Neural Networks (Stanford)
- CS224n – NLP with Deep Learning (Stanford)
- PyTorch for Deep Learning & Computer Vision