Public showcase · opt-in profiles
AI talents on Ganloss
15 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
15 indexed public profiles
All public talents
Emmanuel Efienemokwu
Ingénieur IA / MLOps · GenAI, LLM & pipelines prod
France · Hybrid
https://www.linkedin.com/in/nuelemmanuel https://github.com/codeincraft MACHINE LEARNING | ARTIFICIAL INTELLIGENCE ENGINEER Machine Learning and Artificial Intelligence Engineer with expertise in designing, building, and deploying
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.
Vijay Dhavan
Ingénieur IA / MLOps · GenAI, LLM & pipelines prod
France · Hybrid
AI/ML Engineer and Python Developer with 11 months of hands-on experience building AI-powered applications and backend services using Python, FastAPI, Machine Learning, Deep Learning, Generative AI, RAG, and LLMs. Experienced in developing REST APIs, authentication systems, document retrieval pipelines, vector embedding
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.
Alex Zaharia
Junior AI engineer · Python, ML & data
United States · Hybrid or remote
Early-career AI & data engineer: Python services, SQL, scikit-learn or PyTorch, and first production or GenAI projects (RAG, agents, evaluation). Comfortable in agile teams; open to hybrid or remote roles across the United States.
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.
Alexandra Bunaciu
Junior AI engineer · Python, ML & data
United States · Hybrid or remote
Early-career AI & data engineer: Python services, SQL, scikit-learn or PyTorch, and first production or GenAI projects (RAG, agents, evaluation). Comfortable in agile teams; open to hybrid or remote roles across the United States.
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.
Shayon Banerjee
Junior AI engineer · Python, ML & data
United States · Hybrid or remote
Early-career AI & data engineer: Python services, SQL, scikit-learn or PyTorch, and first production or GenAI projects (RAG, agents, evaluation). Comfortable in agile teams; open to hybrid or remote roles across the United States.
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.
Candidates IA
Show your background without exposing contact details
Add a photo, fill in experience, and enable your public showcase from your candidate dashboard. Student and apprentice profiles are not listed here.
FAQ
Why aren't emails shown?
Ganloss protects candidates: only logged-in recruiters can contact a talent on the platform. The public showcase shows background and skills, never email or phone.
How do I appear in this showcase?
Create a candidate account, complete your profile (photo, experience, skills), and turn on "Public profile" in your dashboard. Student/apprentice profiles are not listed here.
How do I contact a talent?
Create a recruiter account and use the full talent pool to share a job or send a message through Ganloss.
Ganloss vs agencies or LinkedIn?
Ganloss is self-service: opt-in talents with structured stack and background, filterable talent pool, and Google for Jobs listings. Agencies hunt passively; Ganloss is an AI job board with a public candidate showcase and recruiter sourcing in one place.
New talent alert · LLM
Recruiters: get notified when new AI profiles match your stack and remote preferences.
Daily digest · unsubscribe
Hiring AI talent?
Access the full talent pool, contact candidates, and post Google for Jobs listings.