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# CV — cv_bigdata (from saugataroyarghya/resume-dataset) |
Career Objective: Big data analytics working and database warehouse manager with robust experience in handling all kinds of data. I have also used multiple cloud infrastructure services and am well acquainted with them. Currently in search of role that offers more of development. Skills: ['Big Data', 'Hadoop', 'Hive', ... |
# CV — ENGINEERING (from snehaanbhawal/resume-dataset, ID 13264796) |
DIRECTOR OF ENGINEERING Experience Director of Engineering , 04/2018 to 05/2018 Company Name – City , State Calero is a leading provider of Communications Lifecycle Management (CLM) solutions designed to turn communication data into actionable insight by simplifying the management of voice, mobile, and other communicat... |
# CV — HR (from snehaanbhawal/resume-dataset, ID 20806155) |
HR SPECIALIST (INFORMATION SYSTEMS) Experience 02/2013 - 12/2014 Company Name － City , State HR Specialist (Information Systems) Permanent/FT Supervisor: Iris Murray (910-432-2392) Served as Fort Bragg Installation Civilian Personnel Information Systems Manager with full responsibility for establishing and implementing... |
# CV — cv_hr2 (from saugataroyarghya/resume-dataset) |
Career Objective: nan Skills: ['Maintenance', 'Corrective Maintenance', 'Documentation', 'Industrial Machinery', 'Preventive Maintenance', 'Sensors', 'Biotechnology', 'Electrical Mechanical', 'Estimation', 'Hydraulics', 'Mechanical Technician', 'Pneumatics', 'Project Manager', 'Sop', 'Manufacturing Process', 'Apqp', 'A... |
# CV — INFORMATION-TECHNOLOGY (from snehaanbhawal/resume-dataset, ID 18067556) |
MASTER DATA MANAGER Experience Master Data Manager , 01/2019 to Current Company Name – City , State Aligning 100+ supply chain-related master data attributes to ensure the following guidelines are met:. Data Stewardship - Appropriate business units and ownership established to validate appropriate values, definitions a... |
# CV — SALES (from snehaanbhawal/resume-dataset, ID 17704246) |
SALES ASSOCIATE Summary Experienced Manager at HyVee Grocery Store with excellent client and project management skills. Action-oriented with strong ability to communicate effectively with technology, executive, and business audiences. Self-motivated and dependable while achieving high performance with minimal supervisi... |
AHMED ARFAOUI — AI Engineer | Tunis, Tunisia | ahmedarfaoui2000@gmail.com |
Portfolio: github.com/arfaouiahmed1 | linkedin.com/in/ahmedarfaoui99 |
SUMMARY |
AI & Data Science Engineer (ESPRIT, 2022-2026, Excellent mention). Building agentic systems that use tools, browse the web, and leave evidence. Former BI → ML → agentic AI. Photography-trained attention to detail. |
SKILLS |
Python (95), LangGraph/LangChain (90), FastAPI (88), PyTorch (85), Docker/MLOps (82), Power BI (78) |
Agentic AI: LangGraph, LangChain, MCP, tool-use, browser automation (Puppeteer, MCP browser tools) |
ML/DL: PyTorch, TensorFlow, Scikit-learn, YOLOv8, ResNet, CNN, Librosa, signal processing |
Data: Pandas, SQL, PostgreSQL, FAISS, pgvector, sentence-transformers, DVC, MLflow, Elastic, CI/CD |
NLP: FAISS, FLAN-T5, Mistral, sentence-transformers, LIME, SHAP, LoRA fine-tuning, RAG (1000+ docs), semantic search, forecasting |
Cloud/MLOps: Docker, FastAPI, MLflow, DVC, CI/CD, Elastic, pgvector, HNSW |
EXPERIENCE |
Soft Stars — AI & Agentic Systems Engineer, Graduation Internship (Dec 2025 - Jun 2026) |
- Designed Open Web Catcher: multi-agent browser intelligence platform, 150+ sites reached, 97.6% tool-call success, 126 evaluated runs |
- Rebuilt n8n/Puppeteer prototype into LangChain/LangGraph/MCP/FastAPI/Next.js traceable architecture |
- Built evaluation, memory, evidence, operator-console workflows; measured real execution quality vs demos |
VERMEG — Data Science Intern (Aug-Sep 2025) |
- Automated conversion of 50+ legacy platform configs using Spring AI + LLM transformation workflows |
- 90% conversion accuracy; validated generated output against expected configs, iterated on failures |
ESPRIT — Data Science Intern (Jun-Aug 2025) |
- Benchmarked 6 clustering approaches with internal validation metrics, served selected model via FastAPI (<200ms) |
- Disciplined method comparison, latency as metric |
CMR Tunisie — BI & Data Science Intern (Jul-Aug 2024) |
- Power BI dashboards, commercial data modeling, ARIMA/Prophet forecasting, business storytelling |
PROJECTS (see portfolio) |
Open Web Catcher (Agentic AI/Browser automation) — LangGraph, MCP, FastAPI, Next.js, PostgreSQL, Puppeteer |
NEWSBOT AI (NLP/Explainable) — FAISS, FLAN-T5, Mistral, LoRA, LIME/SHAP, semantic search |
FarmWise (CV/Agri AI) — ResNet 95% disease acc, YOLOv8 88% mAP, RAG 1000+ docs, NDVI, Django/Next.js |
End-to-End MLOps — MLflow, DVC, Docker, FastAPI, CI/CD, Elastic, reproducible runs, 80% faster delivery |
Speech Emotion Recognition — 94.3% acc, Librosa, CNN, audio feature engineering |
Telecom Churn — model comparison, feature importance, Power BI, retention segmentation |
EDUCATION |
ESPRIT School of Engineering — Engineering Degree, Data Science & AI (2022-2026), Excellent mention |
IPEIB — Preparatory Cycle MP (2020-2022) |
TARGET ROLES |
Seeking AI Engineer / ML Engineer / Data Scientist / Search & Recommendation / Agentic AI roles in Tunisia, EU, remote. |
Interests: information retrieval, hybrid search, ranking, recommender systems, personalization, agentic systems, MLOps, computer vision. |
# CV — TEACHER (from snehaanbhawal/resume-dataset, ID 37660306) |
GUEST TEACHER Floral Designerwrite your own title I am a certified professional floral designer mentored by an AIFD founding member. I have participated and been a finalist in several National Competitions. I have owned my own business in Las Vegas starting at The Tropicana Hotel and built my businesses to the Las Vega... |
SignalRank — 500 Jobs + Graded Qrels
Hybrid search benchmark: 500 jobs from Kaggle lukebarousse/data_jobs + HF lukebarousse/data-jobs (deduped), normalized to {id,title,company,location,description,skills,source} + graded qrels 0/1/2 for CV ahmed_cv (AI Engineer, Tunis — data/sample/cv_sample.txt).
Qrels: weak labels via high-value skill overlap (agentic, LangGraph, pgvector, hybrid search, ranking, personalization, …) + title boost; optional LLM-as-judge (--llm-grade via mistralai/Mistral-7B-Instruct-v0.3). build_qrels.py disclosed in repo.
Use:
from datasets import load_dataset
ds = load_dataset("ahmedarfaoui99/signalrank-jobs", split="train")
# jobs.jsonl + qrels.jsonl in data/
Eval: backend/app/evaluation/compare.py --jobs data/raw/jobs.jsonl --qrels data/qrels.jsonl --with-ce --out artifacts/metrics.json → P@K/R@K/MRR/nDCG@K, ablations embedding-only vs BM25 vs hybrid vs hybrid+CE.
Repo: github.com/arfaouiahmed1/signalrank · DockerHub: aki47/signalrank-api · Space: huggingface.co/spaces/ahmedarfaoui99/signalrank
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