Data Scientist with 1+ years in GenAI & ML Systems
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Applied Data Scientist working on production-grade GenAI and ML systems, with a focus on LLM orchestration, retrieval-augmented generation (RAG), multimodal learning, and cloud-native deployment to deliver scalable AI solutions for analytics automation and healthcare use cases, collaborating closely with cross-functional engineering and product teams.
Pune Vidyarthi Griha College of Engineering, Nashik
B.E
August 1, 2022 – June 30, 2025
1cell.ai
Data Scientist
October 1, 2024 – Present
India
Agentic AI System for Video Content Analysis
June 23, 2026 – Present
Developed an autonomous agent framework using LangGraph for multi-step reasoning and LangChain for LLM orchestration to enable context-aware video Q&A. Implemented a retrieval-augmented generation (RAG) pipeline with transcript embeddings using OpenAI Embeddings API; integrated PyTorch models for semantic search, response generation. Deployed the system as a microservices architecture with Docker containerization; established a CI/CD pipeline via GitHub Actions for automated testing and deployment.
Cultural Fit Analysis
The candidate's experience with diverse projects (data visualization, oncology prediction, video content analysis) and collaboration with cross-functional teams suggests adaptability and a team-oriented mindset. The breadth of technical skills aligns well with a dynamic, innovation-focused environment.
Soft Skills & Operational Fit
The candidate's resume indicates strong collaboration skills, having worked in cross-functional teams and led sub-teams. The project descriptions suggest an ability to take initiative and deliver complex AI solutions. Operational fit is good given the focus on production-grade systems and MLOps.