# akashsp7.github.io — SUSPICIOUS

> Explore the phishing risk of akashsp7.github.io, hosting a suspicious AI portfolio page. Learn about its threat level and active status here.

## Summary
PhishDestroy identifies akashsp7.github.io as a low-risk generic phishing domain. The threat is primarily due to deceptive content posing as a professional AI portfolio.

This domain resolves to IP 185.199.108.153 and is registered through GitHub, Inc. It appears on three security blocklists and is flagged by one security vendor on VirusTotal, indicating some level of suspicion despite hosting seemingly legitimate content.

The domain remains active, requiring users to exercise caution. Blocking access and reporting any suspicious interactions are recommended mitigation steps to minimize exposure to potential phishing attempts.

## Threat Details
- Verdict: SUSPICIOUS
- Site status: alive (HTTP 200)
- Target brand: across
- Page title: Akash Pawar - AI Research Engineer | Neural Portfolio

## Domain Intelligence
- Registrar: GitHub, Inc.
- Country: USA
- IP: 185.199.108.153
- Nameservers: NS_NOT_FOUND

## Detection Status
- VirusTotal: 1 vendors flagged
  Vendors: ["ChainPatrol"]
- Google Safe Browsing: clean
- Blocklists: 3 hits
  Lists: ["PhishDestroy", "MetaMask", "SEAL"]

## Live Page Content
- Meta description: AI/ML Research Engineer specializing in LLM Fine-tuning, Deep Learning, and Large-scale Data Analytics. Transforming Complex AI Into Elegant Solutions.

### Page Text
Akash Pawar - AI Research Engineer | Neural Portfolio Akash.Neural Home About Experience Projects Skills Contact AI/ML Research Engineer Akash Pawar AI engineer who bridges theory and application across domains — from fine-tuning mathematical reasoning models and vision models to protein bioinformatics and large-scale graph analysis. Specializes in rapid domain mastery and building systems that solve real problems with intelligent design. Python PyTorch SQL HuggingFace AWS LangChain Docker FastAPI Tableau LoRA Python PyTorch SQL HuggingFace AWS LangChain Docker FastAPI Tableau LoRA Python PyTorch SQL HuggingFace AWS LangChain Docker FastAPI Tableau LoRA Python PyTorch SQL HuggingFace AWS LangChain Docker FastAPI Tableau LoRA Python PyTorch SQL HuggingFace AWS LangChain Docker FastAPI Tableau LoRA Python PyTorch SQL HuggingFace AWS LangChain Docker FastAPI Tableau LoRA Python PyTorch SQL HuggingFace AWS LangChain Docker FastAPI Tableau LoRA Python PyTorch SQL HuggingFace AWS LangChain Docker FastAPI Tableau LoRA Python PyTorch SQL HuggingFace AWS LangChain Docker FastAPI Tableau LoRA Python PyTorch SQL HuggingFace AWS LangChain Docker FastAPI Tableau LoRA Python PyTorch SQL HuggingFace AWS LangChain Docker FastAPI Tableau LoRA Python PyTorch SQL HuggingFace AWS LangChain Docker FastAPI Tableau LoRA Python PyTorch SQL HuggingFace AWS LangChain Docker FastAPI Tableau LoRA Python PyTorch SQL HuggingFace AWS LangChain Docker FastAPI Tableau LoRA Python PyTorch SQL HuggingFace AWS LangChain Docker FastAPI Tableau LoRA Python PyTorch SQL HuggingFace AWS LangChain Docker FastAPI Tableau LoRA Python PyTorch SQL HuggingFace AWS LangChain Docker FastAPI Tableau LoRA Python PyTorch SQL HuggingFace AWS LangChain Docker FastAPI Tableau LoRA Python PyTorch SQL HuggingFace AWS LangChain Docker FastAPI Tableau LoRA MS Machine Learning 3.93 GPA 4+ Years AI/ML Experience Explore Project Nodes Initialize Contact NEURAL_PROFILE.config About Me Network Configuration Overview I am an AI/ML Research Engineer with expertise in Deep Learning, NLP, and traditional Machine Learning, driven by a passion for solving complex problems with intelligent systems. I have completed my Master's in Machine Learning from Stevens Institute of Technology, with a 3.93 GPA, where I honed my skills in both theoretical foundations and real-world applications. I have built and optimized machine learning systems across NLP, deep learning, and computational biology, tackling challenges in text classification, retrieval-augmented generation, large-scale model fine-tuning, and predictive analytics. I thrive in environments where rapid learning and adaptation are key. With a strong foundation in research and hands-on implementation, I am always eager to tackle new challenges, quickly learn emerging technologies, and refine complex models into production-ready solutions. My ability to adapt to new domains while optimizing performance makes me a valuable asset in any machine learning-driven environm

### External Links
- https://github.com/akashsp7/ranking-system
- https://github.com/akashsp7/Scratch-ML
- https://github.com/akashsp7/Protein-classification
- https://github.com/akashsp7/Customer-Support-Rag
- https://github.com/akashsp7
- https://github.com/akashsp7/Chain-Optimization
- https://github.com/akashsp7/DeepseekR1-1.5B-MathFineTune
- https://github.com/akashsp7/Scratch-Machine-Translation
- https://www.linkedin.com/in/akash-pawar/
- https://github.com/akashsp7/neural-visualizer
- https://github.com/akashsp7/data-curation-and-fine-tuning

## Evidence
- Screenshot: https://urlscan.io/screenshots/019abc62-ffe7-726b-9692-9c5cc280273e.png
- Cloudflare Radar: https://radar.cloudflare.com/scan/a38d0a53-306d-4759-a608-48707bba14c4
- PhishDestroy: https://phishdestroy.io/domain/akashsp7.github.io/

## If You Visited This Site
1. Change any passwords you may have entered
2. Enable 2FA on all related accounts
3. Monitor your accounts for unauthorized activity
4. Report to: FBI IC3, Europol, local authorities

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Report by PhishDestroy | https://phishdestroy.io/domain/akashsp7.github.io/
Last updated: 2026-03-14