# Abhinav User

Abhinav User is a remote worker on Himalayas, Technology Fall Analyst Intern at Morgan Stanley, based in India.

Source: https://himalayas.app/@abhinavuser24

```text
Software Engineer at Morgan Stanley building Snowflake Cortex AI RAG products and full-stack applications.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | India |
| Authorized to work in | India |
| Salary expectations | 16600k+ INR |
| Job categories | Software Engineer, Full Stack Developer, Backend Engineer, Generative AI Engineer |
| Skills | Python, RAG Pipeline, Snowflake Cortex AI, fastAPI, Angular, React, Lang Chain, Embeddings, Vector Databases, Semantic Search, GenAI Integration, Snowflake, Data Ingestion, ETL Pipelines, Neo4j |
| LinkedIn | https://linkedin.com/in/abhinav0603 |
| GitHub | https://github.com/abhinav0306 |

## About

```text
At Morgan Stanley, I built LE Insights, a full-stack GenAI platform for searching legal entities and their precedents. It cut legal entity closure information collection from about a week to 10–30 minutes.

I designed its RAG architecture on Snowflake Cortex AI, including document chunking, embeddings, a vector database, semantic search, and ingestion of JSON and binary sources. I also developed the entity search, entity view, and integrated AI chat UI.

I owned Regal AutoSys Floweaver from brainstorming and design through production, building it with FastAPI and Angular. The platform integrated Morgan Stanley’s in-house GenAI products, visualized workflow dependencies, and improved team productivity by 70% while cutting process time by 40%.
```

## Experience

### Technology Fall Analyst Intern (current)

[Morgan Stanley](https://himalayas.app/companies/ms-smith-barney-llc). Jul 2026 - Present

```text
Currently interning as a Technology Fall Analyst, contributing to full-stack GenAI projects and RAG pipelines on Snowflake Cortex AI.
```

Skills: Python, fastAPI, Angular, React, Snowflake, RAG, Lang-Chain, GenAI, Fullstack-Development

### Technology Apprentice

[Morgan Stanley](https://himalayas.app/companies/ms-smith-barney-llc). Jul 2024 - Jul 2026

```text
Built end-to-end GenAI and full-stack applications, including a legal entity insights platform and a workflow automation tool, improving productivity and reducing process times.
```

Skills: Python, fastAPI, Angular, React, Snowflake, RAG, Lang-Chain, Neo4j, Streamlit, Docker, CI-CD, Pytest

## Education

### MIT Art, Design & Technology University

Bachelor of Technology, Computer Science and Engineering. 2023 - Present. Grade: 9.21/10.00

```text
Pursuing a Bachelor of Technology in Computer Science and Engineering with a focus on Software Product Engineering, maintaining a CGPA of 9.21/10.00.
```

## Tech stack

- Postman
- Snowflake
- GitHub
- Node.js
- Spring Boot
- Neo4j
- React
- JavaScript
- Python
- HTML5
- Java
- Streamlit
- FastAPI
- pytest
- Git
- Docker
- SQL
- LangChain
- Mermaid
- Apache Kafka
- REST APIs
- Angular
- CSS3

To contact Abhinav, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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