About
Machine Learning Engineer with 5 years of experience building production-grade AI systems — GenAI, NLP, and MLOps — that turn slow manual processes into automated, scalable pipelines. At Jet2, I've built LLM-powered systems processing 2,000+ customer interactions daily, cutting manual triage and categorization effort by up to 80% and directly improving complaint resolution speed. I work across the full ML lifecycle: from model development and fine-tuning to cloud infrastructure, CI/CD automation, and production inference. I've architected reusable MLOps frameworks on AWS SageMaker that cut ML onboarding time by 50%, and shipped agentic AI systems (CrewAI + AWS Bedrock) now being evaluated for org-wide adoption. Core stack: LLMs, RAG, LangChain/LangGraph, CrewAI, AWS Bedrock, Snowflake Cortex AI, SageMaker, Azure OpenAI, Docker, and Python. Always open to conversations on applied GenAI, agentic systems, and MLOps — feel free to connect.
- Strengths :
- 1. End-to-end ownership — from model experimentation to production deployment at scale.
- 2. Bridge between data science and engineering — translating business problems into reliable ML systems.
- 3. Impact-first mindset — optimising for measurable outcomes, not just model accuracy.
- Phone: +91 8269673369
- Email: sharadktiwari2000@gmail.com
