# AJINKYA WADASKAR

AJINKYA WADASKAR is a remote worker on Himalayas, Data Scientist / ML Engineer at Ford Motor Company, based in United States.

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

```text
Applied AI Engineer at Ford building GPT-4 agents that cut ETL migration effort by about 80%.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | United States |
| Authorized to work in | United States |
| Salary expectations | 137k+ USD |
| Job categories | Applied AI Engineer, Machine Learning Engineer, Data Scientist, Data Engineer, Data Analyst |
| Skills | Large Language Models, LLM Agents, LLM Evaluation, RAG, Text To SQL, Agentic Workflows, Tool calling, Prompt Engineering, Guardrails AI, Human In The Loop (HITL) Systems, Model Context Protocol, Schema Grounding, Vector Search, Semantic Caching (GPTCache), Regression Testing |
| LinkedIn | https://linkedin.com/in/ajinkyawadaskar |
| GitHub | https://github.com/ajinkyawadaskar |

## About

```text
At Ford Motor Company, I engineered a production LangChain and GPT-4 pipeline that translated legacy workflows into BigQuery SQL and Dataform DAGs, cutting ETL migration effort by about 80%. I also built an evaluation harness to catch SQL-translation and schema-match regressions before production cutover.

I built a LangGraph debug agent with Claude and GPT-4 that cut issue triage from hours to minutes and saved 1–2 days per monthly close. In my open-source projects, I’ve worked on a governed text-to-SQL agent and an FCRA-compliant credit-risk explainer with checks against certified model reasons.
```

## Experience

### Data Scientist / ML Engineer (current)

[Ford Motor Company](https://himalayas.app/companies/ford). May 2022 - Present

```text
Engineered production LangChain and GPT-4 agentic pipelines that cut ETL migration effort by ~80% and built LLM evaluation harnesses to catch regressions. Developed a LangGraph debug agent that reduced triage time and saved 1-2 days per monthly close.
```

Skills: Lang-Chain, LangGraph, GPT-4, Claude, BigQuery, dataform, SQL, Python, LLM-Evaluation, CI-CD, K-Means, A-B-Testing, CUPED

### Data Analyst

[General Motors](https://himalayas.app/companies/general-motors). Apr 2021 - May 2022

```text
Built Python and SQL data pipelines over large-scale operational and telematics data, and developed Power BI data models that improved data integrity and accelerated decision-making.
```

Skills: Python, SQL, Hadoop, Azure, SQL-Server, Power-BI

### Data Analyst / Data Engineer

Peterson American Corporation. Aug 2019 - Apr 2021

```text
Automated Python and Power Automate data pipelines across SAP ERP, SQL Server, and Db2, saving 10 hours per week and achieving 40% faster query performance.
```

Skills: Python, Power-Automate, SAP-ERP, SQL-Server, DB2, SQL

### Data Analyst, Warranty

Grupo Antolin North America. Aug 2018 - Apr 2019

```text
Boosted reporting efficiency by 70% by automating ETL and Power BI models on OEM warranty cost-claim data, and applied data-mining to surface high-cost failure modes.
```

Skills: ETL, Power-BI, Data-Mining, SQL

## Education

### Wayne State University

Master of Science, Industrial Engineering. 2017 - 2019

```text
Master of Science in Industrial Engineering from Wayne State University, completed in 2019.
```

### Amravati University

Bachelor of Engineering, Mechanical Engineering. 2011 - 2015

```text
Bachelor of Engineering in Mechanical Engineering from Amravati University, completed in 2015.
```

## Tech stack

- Dataform
- GitHub
- NumPy
- Pandas
- dbt
- Hadoop
- Python
- MLflow
- scikit-learn
- Streamlit
- FastAPI
- Amplitude
- OpenTelemetry
- pytest
- Git
- Docker
- Airflow
- SQL
- XGBoost
- LightGBM
- LangChain
- Pydantic
- LanceDB
- Google Gemini API
- DeepEval
- Langfuse
- SQLGlot
- Guardrails AI
- LangGraph
- Claude Code
- Power BI
- REST APIs
- Azure
- Claude API
- Model Context Protocol

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

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