# Mustansir Hariyanawala

Mustansir Hariyanawala is a remote worker on Himalayas, Cyber AI Intern at DeepCytes Cyber Lab, based in India.

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

```text
I build agentic AI, RAG, and full-stack systems that automate security and research workflows.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | India |
| Authorized to work in | India |
| Salary expectations | 70k+ INR |
| Job categories | Software Engineer, Machine Learning Engineer, AI Engineer, Cybersecurity Engineer |
| Skills | Python, Java, C++, SQL, JavaScript, QLoRA, UnSloth, TensorFlow, PyTorch, Hugging Face, GROQ, Ollama, Knowledge Graphs, scikit learn, LangGraph, Spring Boot, Hibernate, fastAPI, React, Pandas, NumPy, Spring AI, Spring Security, PostgreSQL, MongoDB, Neo4j, ChromaDB, Pinecone, AWS, Docker, Git, GitHub, Postman, Streamlit, Flask, Lang Chain, RAG, OpenAI, Gemini, Claude, SciBERT, KeyBERT, SpaCy, Cypher, TextRank, ScienceParse, Maximum Marginal Relevance (MMR), Zustand, Data Structures, Algorithms, Penetration Testing, Vulnerability Assessment, Prompt Engineering, Agentic Retrieval |
| Portfolio | https://github.com/Mustansir-Hariyanawala |
| LinkedIn | https://linkedin.com/in/mustansir-hariyanawala |
| GitHub | https://github.com/Mustansir-Hariyanawala |

## What I'm looking for

```text
I'm looking to build AI-driven, agentic, and full-stack products where I can apply RAG, knowledge graphs, and automation to solve complex security or research problems.
```

## About

```text
At DeepCytes Cyber Lab, I built LLM-driven penetration-testing and vulnerability-assessment workflows that reduced security audit turnaround time by 40% across 50+ environments. I also developed retrieval pipelines for security logs that improved vulnerability identification accuracy by 28% and reduced false positives by 35%.

I've built RAG, agentic retrieval, and full-stack products including CogniScript, CitationEdge, and XChange using Python, Java, React, FastAPI, Spring Boot, LangChain, Neo4j, and vector databases. My work spans multi-provider LLM routing, scientific citation analysis, knowledge graphs, and a stock-market simulator supporting 2,100+ NSE stocks.
```

## Experience

### Cyber AI Intern

DeepCytes Cyber Lab. Jul 2025 - Dec 2025

```text
Designed and deployed LLM-driven automation workflows for penetration testing and vulnerability assessments, reducing manual security audit turnaround time by 40% across 50+ tested environments. Engineered custom prompt-engineering and agentic retrieval pipelines to analyze complex security and network logs, boosting vulnerability identification accuracy by 28% while cutting false positives by 35%
```

Skills: LLM, Prompt-Engineering, Agentic-Retrieval, Penetration-Testing, Vulnerability-Assessment, Security-Events-And-Logs-Analysis, Automation, Threat-Reporting

## Education

### SVKM’s Dwarkadas J. Sanghvi College of Engineering

Bachelor of Technology, Computer Engineering. Grade: CGPA: 8.62

```text
Pursuing a Bachelor of Technology in Computer Engineering with a CGPA of 8.62, expected to graduate in 2027.
```

### Pioneer Junior College of Science, Dadar

Higher Secondary Certificate, Science. 2021 - 2023. Grade: 84.83%

```text
Completed Higher Secondary Certificate with 84.83% from 2021 to 2023.
```

## Tech stack

- Postman
- GitHub
- NumPy
- Pandas
- PostgreSQL
- MongoDB
- Spring Boot
- Neo4j
- React
- JavaScript
- Python
- Java
- C++
- TensorFlow
- PyTorch
- scikit-learn
- Streamlit
- Flask
- FastAPI
- SpaCy
- Hibernate
- Gemini
- Spring Security
- Zustand
- Git
- Docker
- SQL
- Hugging Face
- LangChain
- Ollama
- ChromaDB
- Pinecone
- Groq
- LangGraph
- Unsloth
- Spring AI

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

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