Experience

AI Engineer with 3 years building production GenAI and ML systems for Fortune 500 clients. Architects multi-agent LLM platforms, ensemble forecasting pipelines, and production RAG systems on GCP, AWS, and Azure. Hands-on depth from Transformer internals through LLM evaluation, with a track record of measurable business impact. Brings end-to-end production ownership across the full AI lifecycle — from experimentation and fine-tuning to LLMOps observability, drift detection, and CI/CD deployment gates.

Professional Experience

AI Engineer

The Modern Data Company · Hyderabad, India

June 2023 – Present

Launched a stateful agentic LLM system (LangGraph, FastAPI, PostgreSQL) on GCP Cloud Run for natural-language dataset queries; cut analyst turnaround by ~40% and surfaced answers no dashboard could provide.
Designed a production RAG pipeline with hybrid retrieval; applied RAGAS metrics for faithfulness and context precision, iterated chunking strategy, and reduced analyst lookup time across the team's shared documentation.
Shipped a production multi-model forecasting pipeline (XGBoost, LightGBM, Deep Learning) on GCP Cloud Run with real-time inference, reducing forecast error by 26% and cutting inventory costs for global distribution.
Deployed a brand-level demand model (XGBoost + Deep Learning) with MLflow tracking and versioning; achieved a 33% uplift in shipment accuracy across global distribution and procurement networks.
Spearheaded Survival Analysis with Kaplan-Meier estimators to quantify churn risk; improved churn-model AUC by 21% through behavioral feature engineering on usage frequency, contract tenure, and product recency signals.
Designed and maintained data models serving as the single source of truth for business metrics across Fortune 500 client engagements; built ETL pipelines and KPI dashboards that formed the data foundation for downstream ML systems.

Data Analyst Intern

Dr. Reddy’s Laboratories · Hyderabad, India

June 2022 – December 2022

Enhanced critical data integrity for pilot scale ML initiatives by architecting and deploying automated statistical validation pipelines, which resulted in a measurable 30% increase in dataset reliability and feature quality.
Conducted deep-dive Exploratory Data Analysis (EDA) to mitigate systemic data inconsistencies, effectively preventing downstream model bias and ensuring high-fidelity outputs within the global data ingestion pipeline.

Skills

Agentic AI & LLM Systems

LangGraphLangChainLlamaIndexCrewAIMulti-Agent OrchestrationRAGMCPTool-callingPrompt EngineeringLLM Fine-tuning (LoRA/QLoRA)LLM Evaluation (RAGAS)HuggingFace TransformersOpenAI / Gemini / Claude APIs

Cloud & MLOps

GCP (Vertex AI, Cloud Run, Cloud Build)AWS (SageMaker, S3, Lambda)Azure (OpenAI Service, AI Search)DockerFastAPIREST APIsGitHub ActionsLangfuseMLflowModel MonitoringChromaDB