Public showcase · opt-in profiles
AI talents on Ganloss
11 verified profiles — LLM engineers, MLOps, data scientists, and AI product. Photo, experience, and skills are public; email, phone, and contact links stay private.
- Registered profiles with photo and work history
- Students and apprentices excluded from the showcase
- Contact details hidden — reach out via Ganloss recruiters
11 indexed public profiles
All public talents
Jacob Paul
Ingénieur IA / MLOps · GenAI, LLM & pipelines prod
10801 · Hybrid
Data science professional with experience across automation engineering, analytics, and enterprise delivery, including specializing in machine learning, financial risk modeling, and data analytics. Proven track record of developing production-ready machine learning solutions across financial services, including banking, payments, trading risk, and insurance analytics. Expert in Python, SQL, Databricks, and Azure cloud environments with strong experience in big data processing (80M+ records), anomaly detection, and enterprise-scale ML deployment using CI/CD and containerization frameworks. Modeling & Forecasting: Time-Series (GARCH), XGBoost, Random Forest, Gradient Boosting, Demand Forecasting, Risk Scoring, Anomaly Detection, Model Calibration, A/B Testing
Muhammad Danyal Khan
MSCA PhD Researcher | AI, Cybersecurity & Ontology-Governed Data Platforms | Agentic AI & DataOps
Granada, Spain · Remote
Marie Skłodowska-Curie PhD Scholar at the Universidad de Granada (IntelliWind, Horizon Europe), researching secure AI, knowledge graphs and blockchain for autonomous wind farms. I architect ontology-governed knowledge graphs (OWL, SHACL, SPARQL, R2RML), ETL/ELT pipelines (Dagster, Kafka, TimescaleDB) and agentic AI systems with federated GraphRAG and tiered agent memory, built on real wind-farm operational data (15M+ SCADA rows). Founder of Veritas AI DB and Symphysis. Former Senior AI Developer at Syllaby AI, Project Lead of the Continuous Delivery Foundation DataOps Landscape, ISO 27001 Lead Auditor, ex-Pakistan Navy Lieutenant Commander, EC-Council course author, and author of "Open for Business" (Taylor & Francis, 2025). I build trust-aware systems that prioritize security, explainability and scalability.
Pari Manouchehri
Ingénieur IA / MLOps · GenAI, LLM & pipelines prod
France · Remote
DATA SCIENTIST | NLP | MACHINE LEARNING | LLM SYSTEMS Data Scientist experienced in building end-to-end ML systems, NLP applications, anomaly detection, and recommendation engines. Skilled in translating business problems into scalable data products using statistical modeling and experimentation.
Likith Kagita
AI engineer · LLM, MLOps & data
United States · Hybrid or remote
Mid-level ML engineer: shipping models, monitoring drift, CI/CD for ML, and GenAI systems (RAG, fine-tuning, guardrails). Partner with product and platform on AWS/GCP; strong communicator for US cross-functional teams.
Qundeel Saleem
AI engineer · LLM, MLOps & data
United States · Hybrid or remote
Mid-level ML engineer: shipping models, monitoring drift, CI/CD for ML, and GenAI systems (RAG, fine-tuning, guardrails). Partner with product and platform on AWS/GCP; strong communicator for US cross-functional teams.
Ochieng Gregory Manton
AI engineer · LLM, MLOps & data
United States · Hybrid or remote
Mid-level ML engineer: shipping models, monitoring drift, CI/CD for ML, and GenAI systems (RAG, fine-tuning, guardrails). Partner with product and platform on AWS/GCP; strong communicator for US cross-functional teams.
Fanuel Nawate
AI engineer · LLM, MLOps & data
United States · Hybrid or remote
Mid-level ML engineer: shipping models, monitoring drift, CI/CD for ML, and GenAI systems (RAG, fine-tuning, guardrails). Partner with product and platform on AWS/GCP; strong communicator for US cross-functional teams.
Aleksandar Mladenovic
Senior AI / ML · architecture & delivery
United States · Hybrid or remote
Senior AI / ML leader: roadmap, architecture, and delivery from data platforms to LLM products. Mentors engineers, sets MLOps standards, and aligns model quality with business risk — including evaluation and red teaming where needed.
Ammad Fareed
Senior AI / ML · architecture & delivery
United States · Hybrid or remote
Senior AI / ML leader: roadmap, architecture, and delivery from data platforms to LLM products. Mentors engineers, sets MLOps standards, and aligns model quality with business risk — including evaluation and red teaming where needed.
Bindu P
AI engineer · LLM, MLOps & data
United States · Hybrid or remote
Mid-level ML engineer: shipping models, monitoring drift, CI/CD for ML, and GenAI systems (RAG, fine-tuning, guardrails). Partner with product and platform on AWS/GCP; strong communicator for US cross-functional teams.
Mutheu Purity
Senior AI / ML · architecture & delivery
United States · Remote
Senior AI / ML leader: roadmap, architecture, and delivery from data platforms to LLM products. Mentors engineers, sets MLOps standards, and aligns model quality with business risk — including evaluation and red teaming where needed.
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