# Divyanshu Singh

Divyanshu Singh is a remote worker on Himalayas, Technical Consultant – AI and ML at ValueLabs, based in India.

Source: https://himalayas.app/@divyanshusingh6

```text
I build production AI and ML systems for healthcare, insurance, and enterprise automation.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | India |
| Authorized to work in | India |
| Salary expectations | 70k+ INR |
| Job categories | AI Engineer, Machine Learning Engineer, Data Scientist, Technical Consultant |
| Skills | Python, Spark, Snowflake, Airflow, PostgreSQL, MongoDB, XGBoost, LightGBM, CatBoost, Random Forest, Logistic Regression, Polynomial Regression, Clustering, SHAP, PyTorch, TensorFlow, CNN, RNN, LSTM, Transformers, BERT, TF IDF, NER, Sentiment Analysis, ASR, Whisper, Speaker Diarization, MFCC (Feature Extraction), Speech Emotion Recognition, LangGraph, DSPy, RAG, Vector Databases, MLFlow, Docker, GitHub Co Pilot, Cursor, Google Agent Framework, FHIR, Epic EHR, fastAPI, Guardrails AI, Feature Engineering, Drift Monitoring, CI CD, Unit Testing, HIPAA compliance, Data Migration, Data Mapping, Multi Agent Systems, Speech Emotion Features, LLM Fine tuning |
| Portfolio | https://github.com/divyanshusingh5 |
| LinkedIn | https://linkedin.com/in/divyanshu-singh |
| GitHub | https://github.com/divyanshusingh5 |

## What I'm looking for

```text
I'm looking to build production AI and ML systems that solve high-impact enterprise problems, especially in healthcare, insurance, and automation. I value opportunities to work on multi-agent AI, RAG, MLOps, and reliable, governed deployments.
```

## About

```text
At ValueLabs, I build AI and ML systems for healthcare and insurance clients, from compliance test generation and clinical-trial patient matching to predictive claims valuation.

I've delivered a provider-network optimization solution identifying over $20M in projected annual savings and improved claims valuation accuracy by 37%. I also build governed ML pipelines with MLflow, feature-drift monitoring, unit testing, and CI/CD.

My work spans multi-agent systems, RAG, LLMs, healthcare data, and deep learning. I'm also the first author of an IEEE CVMI 2024 paper on multimodal CSAT prediction, where my framework surpassed text-only baselines by 15%.
```

## Experience

### Technical Consultant – AI and ML (current)

ValueLabs. Aug 2024 - Present

```text
Working on AI and ML projects for healthcare and insurance clients, including developing a multi-agent platform for healthcare compliance test generation and a clinical trial patient matching system.
```

Skills: Google-ADK, LLM, RAG, FHIR, Epic-EHR, Polynomial-Regression, K-Means, Hierarchical-clustering, MLFlow, CI-CD

### AI Engineer Intern

ValueLabs. Aug 2024 - Jan 2025

```text
Built a PHI/PII classification pipeline using Logistic Regression and TF-IDF to flag sensitive data before downstream LLM processing.
```

Skills: Logistic-Regression, TF-IDF, PII-Classification, LLM

## Education

### SRM University, Andhra Pradesh

B.Tech, Computer Science Engineering. 2021 - 2025. Grade: 9.1/10.0

```text
Pursued a B.Tech in Computer Science Engineering with a specialization in Big Data Analytics, achieving a CGPA of 9.1/10.0.
```

## Tech stack

- Snowflake
- PostgreSQL
- MongoDB
- Python
- TensorFlow
- PyTorch
- MLflow
- FastAPI
- Transformers
- Docker
- Airflow
- XGBoost
- LightGBM
- CatBoost
- Cursor
- GitHub Copilot
- DSPy
- Guardrails AI
- LangGraph

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

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