# Arvind kompelli

Arvind kompelli is a remote worker on Himalayas, AI/ML Engineer Trainee at Envisioned Strategy Consulting, based in India.

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

```text
AI/ML Engineer at Envisioned Strategy Consulting who built an Agentic AI chatbot across 124+ database tables.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | India |
| Authorized to work in | India |
| Salary expectations | 70k+ INR |
| Job categories | AI ML Engineer, Machine Learning Engineer, Generative AI Engineer, Python Developer |
| Skills | Agentic AI, LLM Application Development, LangGraph, Gemini, Text To SQL, LLM orchestration, Semantic Retrieval, Prompt Engineering, SQL Injection, RBAC, Multi tenant Isolation, SQL Validation, PII Protection, Audit Logging, Python |
| LinkedIn | https://linkedin.com/in/arvind-kompelli-516409371 |
| GitHub | https://github.com/akarvind56-debug |

## About

```text
At Envisioned Strategy Consulting, I architected an enterprise Agentic AI chatbot that supports natural-language interaction with HRMS, Payroll, Attendance, CRM, Timesheet, and Staffing data across 124+ database tables.

I designed a 10-node LangGraph pipeline for query routing, schema retrieval, Text-to-SQL generation, validation, execution, and self-correction. Its schema intelligence layer retrieves only the relevant tables, columns, and relationships for each query.

I also built SQL security and governance controls with read-only execution, company-level isolation, RBAC-based access, and protection for sensitive employee and compensation data. A zero-token FastRouter and reflection loop helped reduce unnecessary LLM calls and recover from failed SQL.

On TheWorkNova, I optimized context construction and routing, reducing LLM API consumption by about 65% and achieving 94% SQL self-correction recovery in controlled scenarios. My other projects include a traffic signal optimization model and a Streamlit application for chronic kidney disease prediction.
```

## Experience

### AI/ML Engineer Trainee

Envisioned Strategy Consulting. Jun 2026 - Present

```text
Architected an enterprise Agentic AI chatbot using Python, FastAPI, LangGraph, Google Gemini, and PostgreSQL, enabling natural-language interaction with HRMS, Payroll, Attendance, CRM, Timesheet, and Staffing data across 124+ database tables. Designed a 10-node LangGraph orchestration pipeline covering query normalization, task-state management, deterministic routing, semantic schema retrieval, Te
```

Skills: Python, fastAPI, LangGraph, Gemini, PostgreSQL, Text-To-SQL, Semantic-Retrieval, SQL-Validation, RBAC, Multi-tenant-Isolation, PII-Protection, Audit-Logging, Corrections, Reflection-Loops, Agent-orchestration

## Education

### Innomatics Research Labs

Data Science Course, Data Science. 2025 - Present

```text
Data Science Course from Innomatics Research Labs in 2025.
```

### Aurora's Degree & PG College

Bachelor of Commerce, Computer Science. 2015 - 2017

```text
Bachelor of Commerce in Computer Science from Aurora's Degree & PG College from 2015 to 2017.
```

## Tech stack

- PostgreSQL
- Python
- scikit-learn
- Streamlit
- FastAPI
- SQLAlchemy
- Gemini
- Uvicorn
- SQL
- LangChain
- Pydantic
- LangGraph

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

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