Ramesh
EXPERTISE
BIO
Senior Data and AI Engineer with 16+ years of experience across data engineering, analytics, and AI/ML. Proven track record in building cloud-native data platforms, implementing GenAI solutions, LLMs, and enterprise-scale RAG pipelines. Expert in Snowflake, AWS, and BI tools like Looker and Tableau. Adept at MLOps, DBT, and AI DevOps for deploying scalable, secure, and intelligent systems. Strong leadership in AI projects, enabling business transformation through automation, data-driven decision-making, and next-gen GenAI applications.
WORK EXPERIENCE
Techamana
Telus
April 2023 - Present
Designed and deployed GenAI-based telecom applications for fraud detection and customer segmentation using fine-tuned LLMs. Built enterprise-grade RAG systems utilizing vector databases (FAISS, Pinecone) for intelligent knowledge retrieval. Orchestrated AI workflows through agentic frameworks (CrewAI, LangGraph) for automated customer support and billing resolution. Established secure on-prem LLM environments integrated with Snowflake and RBAC for data privacy compliance. Automated real-time model retraining and A/B testing pipelines with Airflow and SageMaker.
Data/AI Engineer
Envista
January 2021 - September 2022
Developed predictive models (Clustering, XGBoost) to streamline logistics, warehouse operations, and demand forecasting. Embedded ML-driven insights directly into Tableau dashboards for business stakeholders. Migrated legacy BI platforms to cloud-native architectures, enabling real-time AI-driven analytics. Implemented end-to-end ML pipelines using Matillion, Airflow, and cloud data services for scalable deployments. Conducted workshops on MLOps and model explainability for cross-functional teams.
EDUCATION
Masters( Software Systems)
BITS Pilani, December 2007
CERTIFICATIONS
AWS Certified Solutions Architect
AWS
Issued: 3/1/2025 - Expires: 3/24/2027
Credential ID: https://www.credly.com/badges/deadc01b-676f-4c0b-b9ff-3f73e2f6aaea/linked_in_profile
Verified Data Engineer
8+ years of experience
Preferred commitment: Full Time
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