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Lead Data Scientist with 7+ years in Generative AI & Machine Learning
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Assessing your cultural and operational fit
Staff Data Scientist with 7.5+ years of experience building scalable Machine Learning, Deep Learning, Generative AI, LLM, and RAG-based systems across fintech, retail, banking, and enterprise domains. Expertise in agentic AI frameworks, multi-agent systems, LLM orchestration, MLOps/LLMOps, vector databases, distributed AI systems, inference optimization, and AI observability. Proven track record of delivering production-grade AI solutions that improve efficiency, accelerate delivery, and drive large-scale business impact.
BMSIT Bengaluru
Bachelor of Engineering · Electrical and Electronics Engineering
August 1, 2014 – June 30, 2018
Grid Dynamics
Staff Data Scientist
August 1, 2025 – Present
Bengaluru, Karnataka, India
Rakuten India
Senior Data Scientist
February 1, 2024 – August 1, 2025
Bengaluru, Karnataka, India
Cognizant
Associate Data Scientist
September 1, 2018 – February 1, 2024
Bengaluru, Karnataka, India
Cultural Fit Analysis
The candidate has worked across diverse industries (fintech, retail, banking) and company sizes (Grid Dynamics, Rakuten, Cognizant), indicating adaptability. Their involvement in leading AI specialization and mentoring suggests a collaborative and knowledge-sharing mindset. The breadth of projects, from LLM-driven test generation to policy chatbots and forecasting, shows a versatile skill set and willingness to tackle varied challenges, which generally contributes to a good cultural fit in dynamic environments. However, the education in Electrical and Electronics Engineering, while providing a strong technical foundation, is not directly in Computer Science or Data Science, which might require a deeper dive into their theoretical CS/DS fundamentals during interviews.
Soft Skills & Operational Fit
The candidate's experience as an 'AI Specialization Lead' and involvement in mentoring indicates strong leadership and communication skills. Their work on 'Agentic E2E Testing Framework' and 'Scalable AI Infrastructure' suggests a focus on operational excellence, fault tolerance, and observability, which are critical for a senior role. The descriptions highlight problem-solving and a results-oriented approach, with clear metrics of success.