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Hello! I’m Akhil, a Generative AI & Machine Learning Engineer with 8+ years of delivering production-grade AI systems across healthcare, retail, and financial services. I lead end-to-end ML lifecycles—from problem framing and data pipelines to LLM fine-tuning, RAG architectures, MLOps, and enterprise-scale inference optimization. I have architected RAG systems with LangChain, LlamaIndex, FAISS, and Pinecone; built GenAI agents and chatbots with memory, tools, guardrails, and policy checks; implemented governance and evaluation frameworks; and mentored teams on RAG patterns, prompt engineering, and safe AI usage. I enjoy turning complex problems into scalable AI solutions that empower product teams.…Hello! I’m Akhil, a Generative AI & Machine Learning Engineer with 8+ years of delivering production-grade AI systems across healthcare, retail, and financial services. I lead end-to-end ML lifecycles—from problem framing and data pipelines to LLM fine-tuning, RAG architectures, MLOps, and enterprise-scale inference optimization. I have architected RAG systems with LangChain, LlamaIndex, FAISS, and Pinecone; built GenAI agents and chatbots with memory, tools, guardrails, and policy checks; implemented governance and evaluation frameworks; and mentored teams on RAG patterns, prompt engineering, and safe AI usage. I enjoy turning complex problems into scalable AI solutions that empower product teams.

AKHIL

AI Engineer, Data Scientist, Full Stack Developer, +2

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Hello! I’m Akhil, a Generative AI & Machine Learning Engineer with 8+ years of delivering production-grade AI systems across healthcare, retail, and financial services. I lead end-to-end ML lifecycles—from problem framing and data pipelines to LLM fine-tuning, RAG architectures, MLOps, and enterprise-scale inference optimization. I have architected RAG systems with LangChain, LlamaIndex, FAISS, and Pinecone; built GenAI agents and chatbots with memory, tools, guardrails, and policy checks; implemented governance and evaluation frameworks; and mentored teams on RAG patterns, prompt engineering, and safe AI usage. I enjoy turning complex problems into scalable AI solutions that empower product teams.…Hello! I’m Akhil, a Generative AI & Machine Learning Engineer with 8+ years of delivering production-grade AI systems across healthcare, retail, and financial services. I lead end-to-end ML lifecycles—from problem framing and data pipelines to LLM fine-tuning, RAG architectures, MLOps, and enterprise-scale inference optimization. I have architected RAG systems with LangChain, LlamaIndex, FAISS, and Pinecone; built GenAI agents and chatbots with memory, tools, guardrails, and policy checks; implemented governance and evaluation frameworks; and mentored teams on RAG patterns, prompt engineering, and safe AI usage. I enjoy turning complex problems into scalable AI solutions that empower product teams.

Available to hire

Hello! I’m Akhil, a Generative AI & Machine Learning Engineer with 8+ years of delivering production-grade AI systems across healthcare, retail, and financial services. I lead end-to-end ML lifecycles—from problem framing and data pipelines to LLM fine-tuning, RAG architectures, MLOps, and enterprise-scale inference optimization.

I have architected RAG systems with LangChain, LlamaIndex, FAISS, and Pinecone; built GenAI agents and chatbots with memory, tools, guardrails, and policy checks; implemented governance and evaluation frameworks; and mentored teams on RAG patterns, prompt engineering, and safe AI usage. I enjoy turning complex problems into scalable AI solutions that empower product teams.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Advanced

Work Experience

Senior Gen AI Engineer at CVS Health

May 1, 2025 - Present

Architected production-grade RAG pipelines using LangChain and FAISS for semantic search over unstructured medical content; engineered secure inference APIs with RBAC/SSO; built multi-turn AI chatbots with memory and fallback logic; implemented privacy-preserving pipelines with tokenization and PII masking to ensure HIPAA compliance; automated LLM prompt deployment and QA with GitHub Actions and Azure DevOps; conducted A/B testing and prompt experiments with MLflow and Azure ML; mentored teams on RAG patterns and safe AI usage.

Gen AI Engineer at Target

September 1, 2024 - April 30, 2025

Developed GenAI chatbots for HR, IT, and policy queries; built summarization pipelines; transitioned to LangChain-based RAG for grounding and factuality; deployed semantic search with OpenAI embeddings and FAISS; automated ticket triaging with Azure Functions and Logic Apps; implemented a prompt evaluation framework using MLflow; containerized FastAPI services for LLM prompt delivery on Azure Container Apps.

AI / ML Engineer at Bank of America

September 1, 2023 - September 30, 2024

Built ML models for classification, regression, and NLP; fine-tuned LLMs (GPT, BERT, T5) using Hugging Face Transformers for summarization, Q&A, and internal chatbot functionality; built semantic search and RAG systems using SentenceTransformer embeddings with FAISS and Pinecone; delivered real-time inference via AWS Lambda, Step Functions, and API Gateway; developed scalable ETL workflows with AWS Glue, Apache Spark, and Airflow; drift monitoring and model observability with MLflow and Weights & Biases.

Senior Machine Learning Engineer at IBM

December 1, 2020 - May 31, 2023

Fine-tuned GPT-3 for cold email personalization; trained in-house T5 transformer to reduce LLM cost overhead; developed ANN for Predictive Demand Generation; built an AI-driven BI tool for sales suggestions; deployed ensemble methods on AWS SageMaker; created a RL agent for autonomous forecast adjustment to reduce deviations.

Machine Learning Engineer at Wipro

May 1, 2018 - November 30, 2020

Designed GCP-based cloud infrastructure for scalable ML environments; built an MLOps monitoring system with Azure Databricks, Data Factory, Logic Apps, and MLflow; deployed Kubernetes clusters for containerized ML workloads; built semantic search engine using RoBERTa; deployed computer vision solutions for real-time quality control and improved order processing.