# Vaidehi Pandey

Vaidehi Pandey is a remote worker on Himalayas, Senior Data Scientist at Qualys, based in India.

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

```text
Senior Data Scientist at Qualys building multi-agent security query systems, including a natural-language-to-QQL engine.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | India |
| Authorized to work in | India |
| Salary expectations | 5120k+ INR |
| Job categories | Data Scientist, Machine Learning Engineer |
| Skills | Generative AI, Large Language Models, RAG, LLM Fine tuning, LoRAs, PEFT, Multi agent orchestration, Natural Language Processing, MLOps, Model Distillation, Inference Optimization, Prompt Engineering, Model Context Protocol, LangGraph, Lang Chain |
| LinkedIn | https://linkedin.com/in/vaidehi-pandey92 |

## About

```text
At Qualys, I led the architecture and development of a natural-language-to-QQL engine for generating schema-aware security queries. I also built MCP servers for Qualys products and integrated them into a LangGraph multi-agent framework.

I distilled LLaMA 70B orchestration logic into Phi-4-mini and deployed it with vLLM. I also built a semantic cache to reduce redundant LLM calls and latency for repeated or near-duplicate queries.

At Qualys, I fine-tuned T5-Flan-Small for QQL generation and developed a verification module that asks clarifying questions. I also built a multi-LLM chatbot that translates natural-language queries into Elasticsearch DSL and deployed its API on Kubernetes.

Previously, at Resleeve, I deployed a fine-tuned Stable Diffusion model for virtual try-on, with CI/CD to GCP for production inference. At Arspectra, I trained and integrated gesture-recognition models; at Capgemini, I trained classifiers for an NLP ticket-assignment tool.
```

## Experience

### Senior Data Scientist (current)

[Qualys](https://himalayas.app/companies/qualys). Apr 2024 - Present

```text
Led architecture and development of a Natural Language to QQL translation engine and built MCP servers for multiple Qualys products. Integrated NLQ-QQL engine and product MCPs into a LangGraph-based multi-agent framework orchestrated by LLaMA 70B, and distilled LLaMA 70B into Phi-4-mini for faster inference.
```

Skills: LLM-Fine-tuning, LoRAs, PEFT, RAG, Prompt-Engineering, LangGraph, Lang-Chain, Multi-agent-orchestration, Model-Context-Protocol-(MCP), Model-Distillation, Semantic-Caching-(GPTCache), GuardRails, AWS, Python, PyTorch, Hugging-Face-Transformers, BERT, T5-Transformer, LLaMA, PHI, NER, VLLM, fastAPI, Elasticsearch, Docker, Kubernetes, Jenkins, CI-CD, Git, Weights-Biases, Monitoring, Regression-Testing

### Machine Learning Engineer

Resleeve. Sep 2022 - Jan 2024

```text
Collected and validated large datasets for GAN-based virtual try-on, improving model accuracy and realism. Deployed a fine-tuned Stable Diffusion model with automated CI/CD pipeline and developed production inference scripts for text-to-image and image-to-image generation.
```

Skills: Gan, Stable-Diffusion, Weights-Biases, GCP, CI-CD, Docker, Kubernetes, Python, PyTorch, Data-Collection, Data-Validation

### Junior Machine Learning Engineer

Arspectra. Jan 2022 - Jun 2022

```text
Curated datasets for hand detection, gesture recognition, and hand pose estimation, and trained and integrated models into an end-to-end pipeline. Conducted human evaluation of accuracy and responsiveness in real-time scenarios.
```

Skills: Hand-Detection, Gesture-Recognition, Human-Hand-Pose, Python, PyTorch, Data-Curation, Model-Training, Integration, Human-Evaluation

### Associate Consultant

[Capgemini](https://himalayas.app/companies/capgemini-technology-services). Nov 2016 - Jan 2020

```text
Collected and preprocessed ticket data to build a robust training set. Trained logistic regression, random forest, and SVM classifiers for automated ticket assignment, achieving an F1-score of 0.75.
```

Skills: Logistic-Regression, Random-Forest, SVM, NLP, data-preprocessing, Python, scikit-learn

## Education

### University of Twente

Master of Science, Data Science and Technology

```text
Completed a Master of Science in Data Science and Technology in December 2021.
```

### Sikkim Manipal Institute of Technology

Bachelor of Technology, Computer Science

```text
Completed a Bachelor of Technology in Computer Science in October 2016.
```

## Tech stack

- Google Cloud Platform
- Kubernetes
- Jenkins
- Python
- PyTorch
- scikit-learn
- FastAPI
- Elasticsearch
- Git
- Docker
- GuardRails
- LangChain
- Weights & Biases
- vLLM
- Stable Diffusion
- LangGraph
- PEFT
- AWS

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

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