# RAVI YADAV

RAVI YADAV is a remote worker on Himalayas, Senior Software Engineer – AI/ML at Globallogic, based in India.

Source: https://himalayas.app/@raviyadav6

```text
I build production AI/ML, RAG, and agentic systems for advertising intelligence and automation.
```

| Detail | Value |
| --- | --- |
| Availability | Open to opportunities |
| Location | India |
| Authorized to work in | India |
| Job categories | AI ML Engineer, Generative AI Engineer, Machine Learning Engineer, MLOps Engineer, Research Engineer |
| Skills | Python, C++, SQL, Machine Learning, Supervised Learning, Unsupervised Learning, Deep Learning, Natural Language Processing, Transformers, Reinforcement Learning, PPO, Gan, Large Language Models, RAG, Prompt Engineering, AI Agents, Agentic AI, Multi Agent Systems, Model Context Protocol, PyTorch, scikit learn, Pandas, NumPy, Hugging Face, Lang Chain, LangGraph, fastAPI, MLFlow, Weights Biases, Model Deployment, Model Monitoring, ML Pipelines, Azure, Azure AI, AWS AI Services, Semantic Search, Vector Search, Time series Forecasting, Feature Engineering, Clustering, Cosine Similarity, Gemini, Streamlit, Exploratory Data Analysis, Statistical Analysis |
| LinkedIn | https://linkedin.com/in/raviyadav1109 |

## About

```text
At GlobalLogic on Google GCAS, I build and productionize AI/ML and GenAI solutions for advertising across data pipelines, model development, deployment, monitoring, and MLOps.

I developed AI Search Scout, a large-scale search trend forecasting pipeline using Transformer embeddings, semantic and vector search, clustering, feature engineering, and time-series forecasting to support multi-million-dollar advertising budget decisions.

I also built a RAG and LLM advertising intelligence platform with Gemini, hybrid retrieval, re-ranking, KPI computation, and grounding guardrails, alongside an agentic system for planning, tool calling, retrieval, and analytics workflows.

My research at CAIR-DRDO included PPO-based reinforcement learning agents, behavior cloning, and GAN-based data augmentation that improved task success by 20–25% and search completion by 15–18% over baseline models.
```

## Experience

### Senior Software Engineer – AI/ML (current)

[Globallogic](https://himalayas.app/companies/globallogic). Sep 2023 - Present

```text
Built and productionized AI/ML and GenAI solutions for advertising, owning the end-to-end lifecycle across data pipelines, model development, NLP, deployment, monitoring, and MLOps for US agency markets. Developed AI Search Scout and GenAI Advertising Intelligence platforms.
```

Skills: Python, Machine-Learning, Deep-Learning, NLP, Transformers, RAG, LLM, Gemini, Embeddings, Vector-Search, Cosine-Similarity, Clustering, Feature-Engineering, Time-series-Forecasting, Prompt-Engineering, Agentic-AI, MLOps, Azure

### Research Intern

CAIR-DRDO. Jun 2022 - Jun 2023

```text
Conducted AI/ML research on human behavior modeling and intelligent agent design using ACT-R cognitive architectures. Built and trained reinforcement learning agents using PPO and utilized GANs for data augmentation.
```

Skills: Reinforcement-Learning, PPO, Gan, Behavior-Cloning, ACT-R, Data-Augmentation, Python

## Education

### Microsoft

Microsoft Certified: Azure AI Engineer Associate, Azure AI

```text
Earned the Microsoft Certified: Azure AI Engineer Associate certification in April 2025.
```

### Google Cloud

30Hacks powered by Google Cloud, Hackathon

```text
Participated in the 30Hacks hackathon powered by Google Cloud in September 2024.
```

### Indian Institute of Technology Mandi

Master of Technology, Computer Science. 2021 - 2023

```text
Pursued a Master of Technology in Computer Science with a research background in reinforcement learning and GANs.
```

### Rajkiya Engineering College

Bachelor of Technology, Computer Science. 2017 - 2021

```text
Earned a Bachelor of Technology in Computer Science.
```

## Tech stack

- Microsoft Azure
- NumPy
- Pandas
- Python
- C++
- PyTorch
- MLflow
- scikit-learn
- Streamlit
- FastAPI
- Transformers
- Gemini
- SQL
- Hugging Face
- LangChain
- Weights & Biases
- LangGraph

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

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