Hello, I'm

Akash Verma

Gen AI Engineer | Senior Data Engineer

Building enterprise-grade Generative AI applications, Retrieval-Augmented Generation (RAG) systems, AI Agents, scalable cloud-native data platforms, and modern ETL architectures.

Download Resume GitHub LinkedIn

Python LangChain LangGraph FastAPI Hugging Face RAG ChromaDB FAISS AWS Snowflake Databricks PySpark

About Me

I'm a Gen AI Engineer and Senior Data Engineer with 5+ years of experience designing enterprise data platforms, cloud-native ETL pipelines, and production-ready AI applications.

My expertise lies in building scalable Retrieval-Augmented Generation (RAG) systems, AI Agents, semantic search, vector databases, LLM-powered enterprise solutions, and modern cloud data platforms.

I enjoy solving complex business problems using Generative AI, Large Language Models, Data Engineering, and cloud technologies.

Professional Highlights

Generative AI

Built enterprise AI assistants using LangChain, LangGraph, FastAPI, Hugging Face, and Vector Databases.

Data Engineering

Designed scalable ETL pipelines using AWS Glue, PySpark, Snowflake, Databricks, and Airflow.

Cloud

Experienced in AWS Lambda, Glue, S3, Athena, Redshift, EMR, Step Functions, CloudFormation.

Backend Development

Developed production-ready REST APIs using FastAPI, Python, SQL, and enterprise microservices.

Professional Experience

Gen AI Engineer | Senior Data Engineer

IntraEdge Technologies Pvt. Ltd. (Client: Ally Bank)

Feb 2026 – Present

Designed scalable ETL pipelines using AWS Glue, Lambda, Airflow, PySpark, Snowflake and Amazon S3.
Built enterprise Retrieval-Augmented Generation (RAG) systems using LangChain and LangGraph.
Developed document ingestion pipelines using Hugging Face embeddings with ChromaDB and FAISS.
Built AI Assistants capable of semantic search, contextual Q&A and intelligent document retrieval.
Developed production REST APIs using FastAPI.
Used LangSmith for prompt evaluation, tracing and workflow optimization.

Gen AI Engineer | Senior Data Engineer

Vrize (Client: Brook & Whittle)

Nov 2023 – Feb 2026

Built enterprise Data Lake architecture on Amazon S3.
Developed ETL/ELT pipelines using AWS Glue, Databricks, EMR, Lambda and PySpark.
Integrated enterprise data from REST APIs and SQL databases.
Developed enterprise knowledge search using LangChain, Hugging Face, ChromaDB and FAISS.
Designed LangGraph workflows and AI Agents.
Automated deployment using CloudFormation and CloudWatch.

Senior Data Engineer

PS Intelegencia Pvt. Ltd.

Jun 2021 – Nov 2023

Developed AWS Glue ETL pipelines.
Built scalable PySpark transformations.
Worked extensively on Snowflake and Amazon Redshift.
Created Tableau dashboards.
Optimized AWS data migration and cloud performance.

Technical Skills

Generative AI

LangChain LangGraph LangSmith RAG Prompt Engineering Agentic AI Hugging Face ChromaDB FAISS

Backend

Python FastAPI Django REST API SQL

Cloud

AWS Glue Lambda S3 EMR Athena Redshift Step Functions CloudFormation CloudWatch

Data Engineering

PySpark Snowflake Databricks Airflow dbt ETL Data Warehouse Data Modeling

Featured Projects

Enterprise RAG Assistant

Production-grade Retrieval-Augmented Generation platform for enterprise document search using LangChain, LangGraph, Hugging Face, ChromaDB and FAISS.

LangChain LangGraph FastAPI FAISS

View on GitHub

Enterprise Data Lake Platform

Scalable AWS Data Lake architecture using AWS Glue, PySpark, Snowflake, Databricks and Amazon S3.

AWS PySpark Snowflake Databricks

View on GitHub

AI Agent Workflow

Multi-agent orchestration using LangGraph, FastAPI and LangSmith.

LangGraph FastAPI LangSmith

View on GitHub

Education

Master of Computer Applications (MCA)

Indira Gandhi National Open University (IGNOU)

Bachelor of Computer Applications (BCA)

Diploma in Computer Science & Engineering

Let's Connect

Email: akashv25274@gmail.com

Phone: +91 9560830535

GitHub: github.com/Akashvermavv

LinkedIn: linkedin.com/in/akash-verma-aa5215150