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AI/ML Engineer with around 6 years of experience building scalable Machine Learning and Generative AI solutions across banking, insurance, and e-commerce. Strong focus on LLMs, RAG architectures, NLP, and production-grade deployments using cloud-native AWS services and MLOps best practices. Experienced in end-to-end AI lifecycle delivery—from data ingestion and feature engineering to model evaluation, monitoring, and retraining. Has built multi-agent GenAI workflows, fine-tuned LLMs (LoRA/QLoRA), and delivered document intelligence, contextual search, and customer analytics solutions with measurable business impact.…AI/ML Engineer with around 6 years of experience building scalable Machine Learning and Generative AI solutions across banking, insurance, and e-commerce. Strong focus on LLMs, RAG architectures, NLP, and production-grade deployments using cloud-native AWS services and MLOps best practices. Experienced in end-to-end AI lifecycle delivery—from data ingestion and feature engineering to model evaluation, monitoring, and retraining. Has built multi-agent GenAI workflows, fine-tuned LLMs (LoRA/QLoRA), and delivered document intelligence, contextual search, and customer analytics solutions with measurable business impact.

Uday Kiran Allurwad

AI Engineer, Data Scientist, Programmer, +2

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AI/ML Engineer with around 6 years of experience building scalable Machine Learning and Generative AI solutions across banking, insurance, and e-commerce. Strong focus on LLMs, RAG architectures, NLP, and production-grade deployments using cloud-native AWS services and MLOps best practices. Experienced in end-to-end AI lifecycle delivery—from data ingestion and feature engineering to model evaluation, monitoring, and retraining. Has built multi-agent GenAI workflows, fine-tuned LLMs (LoRA/QLoRA), and delivered document intelligence, contextual search, and customer analytics solutions with measurable business impact.…AI/ML Engineer with around 6 years of experience building scalable Machine Learning and Generative AI solutions across banking, insurance, and e-commerce. Strong focus on LLMs, RAG architectures, NLP, and production-grade deployments using cloud-native AWS services and MLOps best practices. Experienced in end-to-end AI lifecycle delivery—from data ingestion and feature engineering to model evaluation, monitoring, and retraining. Has built multi-agent GenAI workflows, fine-tuned LLMs (LoRA/QLoRA), and delivered document intelligence, contextual search, and customer analytics solutions with measurable business impact.

Available to hire

AI/ML Engineer with around 6 years of experience building scalable Machine Learning and Generative AI solutions across banking, insurance, and e-commerce. Strong focus on LLMs, RAG architectures, NLP, and production-grade deployments using cloud-native AWS services and MLOps best practices.

Experienced in end-to-end AI lifecycle delivery—from data ingestion and feature engineering to model evaluation, monitoring, and retraining. Has built multi-agent GenAI workflows, fine-tuned LLMs (LoRA/QLoRA), and delivered document intelligence, contextual search, and customer analytics solutions with measurable business impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Work Experience

AI/ML Engineer at Canadian Western Bank

March 1, 2025 - Present

Designed and built an enterprise Generative AI Reporting & Document Intelligence platform to automate reporting and extract insights from structured and unstructured financial documents. Implemented LLM-based reporting workflows using Llama, integrated OCR via Tesseract and AWS Textract, and designed a RAG architecture using vector databases and knowledge graphs for contextual retrieval. Developed multi-agent AI workflows with LangChain, LangGraph, CrewAI, and AutoGen, and performed LLM fine-tuning using LoRA/QLoRA for domain-specific applications. Built summarization, information extraction, and Q&A capabilities with LLMs, and developed contextual search using embeddings and vector databases. Delivered production-grade deployments on AWS (S3, Lambda, ECS, SageMaker) with monitoring/logging and continuous improvement through evaluation and retraining pipelines.

Data Scientist at HDFC Life Insurance

September 1, 2021 - March 1, 2024

Built a customer analytics and predictive modeling platform for churn prediction, customer propensity, and segmentation to improve marketing effectiveness. Performed data cleaning, exploratory analysis, feature engineering, and model tuning to improve predictive performance. Developed clustering-based customer segmentation and converted model outputs into actionable marketing insights. Implemented ETL pipelines using AWS Glue, integrated data into Snowflake, and delivered dashboards and reports using Power BI for stakeholders.

Python Developer (ML/AI) at Flipkart

July 1, 2019 - August 31, 2021

Developed a recommendation engine and personalization system to improve user experience through personalized product recommendations. Built data preprocessing and feature engineering pipelines, developed collaborative filtering and content-based recommendation models, and designed hybrid approaches combining multiple techniques. Worked on real-time recommendations using user interaction data and supported scalable deployments via Docker and Kubernetes. Integrated cloud services and optimized data workflows to support experimentation and evaluation of recommendation strategies.