Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am Akshay, an AI/ML engineer with around 9 years of experience spanning Generative AI, Machine Learning, and Data Engineering across finance, healthcare, and retail domains. I specialize in designing LLM-powered RAG pipelines, multi-agent orchestration, and cross-cloud MLOps to deliver secure, scalable, and compliant AI solutions. I partner with data science, compliance, and product teams to translate complex business problems into robust AI architectures, driving experimentation, governance, and production-grade delivery with observability and risk controls.…I am Akshay, an AI/ML engineer with around 9 years of experience spanning Generative AI, Machine Learning, and Data Engineering across finance, healthcare, and retail domains. I specialize in designing LLM-powered RAG pipelines, multi-agent orchestration, and cross-cloud MLOps to deliver secure, scalable, and compliant AI solutions. I partner with data science, compliance, and product teams to translate complex business problems into robust AI architectures, driving experimentation, governance, and production-grade delivery with observability and risk controls.

Akshay

Data Scientist, AI Engineer, Data Analyst





I am Akshay, an AI/ML engineer with around 9 years of experience spanning Generative AI, Machine Learning, and Data Engineering across finance, healthcare, and retail domains. I specialize in designing LLM-powered RAG pipelines, multi-agent orchestration, and cross-cloud MLOps to deliver secure, scalable, and compliant AI solutions. I partner with data science, compliance, and product teams to translate complex business problems into robust AI architectures, driving experimentation, governance, and production-grade delivery with observability and risk controls.…I am Akshay, an AI/ML engineer with around 9 years of experience spanning Generative AI, Machine Learning, and Data Engineering across finance, healthcare, and retail domains. I specialize in designing LLM-powered RAG pipelines, multi-agent orchestration, and cross-cloud MLOps to deliver secure, scalable, and compliant AI solutions. I partner with data science, compliance, and product teams to translate complex business problems into robust AI architectures, driving experimentation, governance, and production-grade delivery with observability and risk controls.

Available to hire

I am Akshay, an AI/ML engineer with around 9 years of experience spanning Generative AI, Machine Learning, and Data Engineering across finance, healthcare, and retail domains. I specialize in designing LLM-powered RAG pipelines, multi-agent orchestration, and cross-cloud MLOps to deliver secure, scalable, and compliant AI solutions.

I partner with data science, compliance, and product teams to translate complex business problems into robust AI architectures, driving experimentation, governance, and production-grade delivery with observability and risk controls.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

AI/ML Engineer at PNC

September 1, 2024 - November 5, 2025

Partnered with data science, compliance, and product teams to gather requirements for GenAI use cases; defined architecture blueprints for LLM-based RAG pipelines; designed autonomous-agent workflows; built scalable retrieval pipelines with FAISS and Bedrock KBs; implemented cross-cloud experimentation with Vertex AI; developed end-to-end ML lifecycle automation, monitoring dashboards, and governance guardrails for secure, compliant AI interactions.

AI Engineer at Broadridge

August 1, 2024 - August 1, 2024

Led AI transformation for financial document automation and client reporting; defined end-to-end LLM architecture with LangChain/LangGraph; designed hybrid retrieval workflows; established prompting, grounding, and dynamic template chaining; built multi-agent orchestration and modular ingestion pipelines; fine-tuned domain-specific models; created federated KB access and context prioritization; implemented CI/CD, MLflow, and cross-cloud model registry with observability and governance.

Data Scientist at Johnson & Johnson

March 1, 2023 - March 1, 2023

Conducted EDA on EHR/EMR data, improved data pipelines to boost downstream model accuracy, developed binary and multiclass classifiers, and built sequential models for clinical time-series; implemented HIPAA-compliant inference APIs and dashboards; performed model validation with ROC-AUC and SHAP; ensured FDA/medical software compliance and conducted knowledge transfer.

Data Analyst at The Home Depot

September 1, 2021 - September 1, 2021

Analyzed Zendesk ticket data to identify bottlenecks and cost drivers; architected an end-to-end RPA to auto-process and tag tickets; built SQL-backed backend decision logic and Tableau dashboards; implemented ETL pipelines, automated test cases, and production deployment; reduced manual triage time and improved KPI visibility.

Data Analyst at Sutherland

December 1, 2016 - December 1, 2016

Developed prognostic algorithms using connected vehicle data; performed data preprocessing, trend visualization, and KPI improvement; collaborated with SMEs; implemented statistical models and visualization dashboards; provided knowledge transfer and Jira-based project tracking.