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AI talents on Ganloss

19 verified profiles — LLM engineers, MLOps, data scientists, and AI product. Photo, experience, and skills are public; email, phone, and contact links stay private.

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19 indexed public profiles

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Jacob Paul

Ingénieur IA / MLOps · GenAI, LLM & pipelines prod

Nouveau Inscrit

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

PythonSQLPostgreSQLDocker
1–3 ans 4.5

Mark Andreyev

Ingénieur data & Python · ML & APIs

Nouveau Inscrit

60076 · Hybrid

Purdue University, College of Science West Lafayette, IN Bachelor of Science in Computer Science, Minor in Mathematics May 2029 Coursework: Programming in C, Discrete Mathematics, Problem-Solving and OOP, Linear Algebra, Statistics

PythonJavaDockerGit
1–3 ans 4.5

Emmanuel Efienemokwu

Ingénieur IA / MLOps · GenAI, LLM & pipelines prod

Inscrit

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

PythonJavaScriptSQLDocker
1–3 ans 4.5

Muhammad Danyal Khan

MSCA PhD Researcher | AI, Cybersecurity & Ontology-Governed Data Platforms | Agentic AI & DataOps

Nouveau Inscrit

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.

PythonLLMsAgentic AIRAG
8+ years 4.5

Pari Manouchehri

Ingénieur IA / MLOps · GenAI, LLM & pipelines prod

Inscrit

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.

PythonSQLDockerKubernetes
5–8 ans 4.5

Zachary Kinnaman

Ingénieur IA / MLOps · GenAI, LLM & pipelines prod

Inscrit

France · Hybrid

https://www.linkedin.com/in/zachary-kinnaman/ | zackbuilds.us Colorado State University Fort Collins, CO ● Concentration in Artificial Intelligence and Machine Learning

PythonJavaTypeScriptRAG
1–3 ans 4.5

Andrea Churchwell

Ingénieur IA / MLOps · GenAI, LLM & pipelines prod

Inscrit

13562 · Hybrid

I came into tech through a nontraditional path and found along the way that I learn best by building. Since then, I’ve worked across Python, full-stack development, machine learning, and applied AI, including helping build a RAG-based learning application and contributing a merged fix to CesiumJS. I’m still early in my tech career, and I’m looking for the chance to keep building, learn from

PythonJavaScriptReactNode.js
1–3 ans 4.5

Vijay Dhavan

Ingénieur IA / MLOps · GenAI, LLM & pipelines prod

Inscrit

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

PythonReactSQLDocker
1–3 ans 4.5

Likith Kagita

AI engineer · LLM, MLOps & data

Nouveau Inscrit

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.

PythonPyTorchMLOpsSQL
3–5 years 4.5

Qundeel Saleem

AI engineer · LLM, MLOps & data

Nouveau Inscrit

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.

PythonPyTorchMLOpsSQL
3–5 years 4.5

Ochieng Gregory Manton

AI engineer · LLM, MLOps & data

Nouveau Inscrit

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.

PythonPyTorchMLOpsSQL
3–5 years 4.5

Alex Zaharia

Junior AI engineer · Python, ML & data

Nouveau Inscrit

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.

PythonSQLscikit-learnGit
0–2 years 4.5

Fanuel Nawate

AI engineer · LLM, MLOps & data

Nouveau Inscrit

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.

PythonPyTorchMLOpsSQL
3–5 years 4.5

Aleksandar Mladenovic

Senior AI / ML · architecture & delivery

Nouveau Inscrit

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.

PythonPyTorchMLOpsML architecture
6+ years 4.5

Alexandra Bunaciu

Junior AI engineer · Python, ML & data

Nouveau Inscrit

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.

PythonSQLscikit-learnGit
0–2 years 4.5

Ammad Fareed

Senior AI / ML · architecture & delivery

Nouveau Inscrit

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.

PythonPyTorchMLOpsML architecture
6+ years 4.5

Bindu P

AI engineer · LLM, MLOps & data

Nouveau Inscrit

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.

PythonPyTorchMLOpsSQL
3–5 years 4.5

Shayon Banerjee

Junior AI engineer · Python, ML & data

Nouveau Inscrit

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.

PythonSQLscikit-learnGit
0–2 years 4.5

Mutheu Purity

Senior AI / ML · architecture & delivery

Nouveau Inscrit

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.

PythonPyTorchMLOpsML architecture
0–1 year 4.5

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