Himanshu Yadav
Senior Data Scientist 2 @Fractal
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WORK HISTORY
Senior Data Scientist 2 @Fractal
Pune, IN
Leading enterprise-scale GenAI, NLP, and agentic AI solutions across Telecom, BFSI, Healthcare, and CPG domains, with strong ownership of architecture, delivery, and client engagement.Key Contributions- Led a team of 5+ engineers to build a production-grade AI web platform combining conversational AI, automated insight generation, and Voice of Customer (VoC) analytics for a large telecom client- Architected a multi-agent LLM chatbot using AutoGen and LangGraph, enabling complex, multi-level reasoning workflows powered by Claude Sonnet models- Designed serverless data processing pipelines (AWS Lambda) to extract, analyze, and generate insights from large-scale customer conversations- Implemented real-time bi-directional communication using WebSockets with robust session handling and heartbeat mechanisms- Improved system scalability and fault tolerance using RabbitMQ, Redis caching, and asynchronous processing- Automated infrastructure provisioning and CI/CD using Terraform and Jenkins, ensuring reliable and repeatable deployments- Delivered agent-driven supply chain automation for CPG clients, including ensemble models for classification, forecasting, and optimization- Built RAG-based systems for healthcare document intelligence, enabling accurate information retrieval from scanned and unstructured data- Collaborated closely with clients, translating business requirements into scalable AI solutions and iterating based on feedback.
EDUCATION
IES College of Technology Bhopal
BE - Bachelor of Engineering, Computer Science
ABOUT HIMANSHU YADAV
Senior Data Scientist with 9+ years of experience leading the design and delivery of scalable AI and data solutions across diverse industries. I combine strong technical depth with hands-on engineering experience to build reliable, production-ready systems that address complex business problems.I have led cross-functional teams and owned AI initiatives end to end—shaping problem statements, defining system architecture, guiding model development, and overseeing deployment and optimization. My work spans machine learning, NLP, and Generative AI, including conversational systems, insight generation, automation, forecasting, and decision-support platforms.From an engineering perspective, I am comfortable designing scalable pipelines, integrating AI models into real-time applications, and working with cloud-native environments and MLOps practices. I value clean architecture, performance, and robustness, and I actively balance innovation with maintainability and business constraints.Beyond delivery, I enjoy mentoring teams, setting technical direction, and collaborating closely with stakeholders to ensure alignment between business goals and technical execution. I also maintain an interest in research-driven innovation, particularly in advanced NLP, agentic systems, and emerging areas such as Quantum NLP, with an emphasis on practical applicability.I am motivated by roles that require leadership, technical ownership, and the ability to turn advanced AI capabilities into sustained business impact.
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