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Amazon Web Services
Data Scientist
June 14, 2026 – Present
prompt-craft
March 26, 2026 – Present
The Complete Prompt Engineering Bible — 50+ techniques, 40+ papers, interactive priority table, copy-ready templates
View Projectprompt-battle
March 26, 2026 – Present
Competitive prompt engineering arena — battle, practice, context challenges & superpowers. Powered by Claude Haiku.
View Projectredforge
March 25, 2026 – Present
🔥 Production-grade LLM Red Teaming & Vulnerability Scanner — 47 probes, 9 providers, OWASP LLM Top 10, MITRE ATLAS, benchmarks, YARA scanner, compliance reports
View Projecthugging-brain
March 25, 2026 – Present
Hugging Brain — AI Intelligence for Engineers. Curated insights on LLMs, VLMs, GenAI, and Agentic AI.
View ProjectBuilding-Agentic-AI-Applications-with-LLMs
January 18, 2026 – Present
Comprehensive course for NVIDIA-Certified Professional: Agentic AI (NCP-AAI) certification preparation
View Projectrag-evaluation-course
January 18, 2026 – Present
Comprehensive course on Evaluating RAG and Semantic Search Systems for NVIDIA NCP-AAI certification
View ProjectNCP-AAI
January 17, 2026 – Present
Complete learning package for NVIDIA-Certified Professional: Agentic AI (NCP-AAI) certification. Includes course notes, 32 Jupyter notebooks, 112 practice questions, 5 hands-on labs, and quick reference guides.
View ProjectLLM-Inferencing-Recommender
August 28, 2025 – August 30, 2025
It's hard to decide the GPU to run LLM Inferencing, building this tool to make the job easier
View ProjectReinsurance-Network
March 16, 2018 – March 16, 2018
You will be able to execute transactions against a real Hyperledger Fabric blockchain network for Reinsurance Claims that interacts with a blockchain network.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on personal learning and certification preparation, particularly in the Generative AI space. While this demonstrates strong initiative and a passion for the field, the lack of diverse project types (e.g., team projects, open-source contributions beyond personal learning packages, or projects outside of AI/ML) and limited professional experience (current role with no start date) makes it difficult to fully assess cultural fit. The projects align well with a cutting-edge data science role, but the breadth of experience is narrow.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions suggest a strong drive for learning and practical application, which could indicate good problem-solving and initiative.