Agamyrat Akmyradov
ML Engineer
13+ years exp
13+ years ML exp
C++
SQL
Node JS
C
Python
JavaScript
Active 14 days ago
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Overview
Technical skills
Timeline
Roles
Overview
Senior AI/ML engineer with 10+ years of production experience building and deploying scalable AI systems across healthcare and financial domains. Focuses on agentic and multimodal AI, hybrid RAG, multi-agent orchestration, and end-to-end MLOps with evaluation, monitoring, and AI safety guardrails. Strong hands-on background in AWS and Kubernetes-based real-time platforms with inference optimization.
Technical skills
C++
SQL
Node JS
C
Python• Senior • 13y+
JavaScript• 13y+
C++
PyTorch C++
TensorFlow C++
Python
Django
FastAPI
Flask• 13y+
pySpark• 7y+
Databases
Apache Kafka
Databricks
FAISS
pgvector
Pinecone
Weaviate
PostgreSQL• 13y+
Amazon Redshift• 10y+
Google BigQuery• 10y+
AI/ML
Claude
Falcon
Fine-tuning
Gemini
Guardrails AI
Knowledge Distillation
KServe
LangChain
LlamaIndex
LLM
Multimodal AI
NLP
NumPy
OpenAI Evals
Prefect
Quantization
Ray
Ray Serve
Reinforcement Learning
Reranking
Self-Supervised Learning
TensorFlow
TensorRT
Time Series Forecasting
Transformers
Vertex AI
LoRA
Scikit-learn• 13y+
Spark• 13y+
Airflow• 10y+
XGBoost• 10y+
Prophet• 9y+
BERT• 7y+
Kubeflow• 7y+
spaCy• 7y+
MLFlow• 4y+
PEFT• 4y+
RAG• 4y+
AWS Bedrock• 3y+
LangSmith• 3y+
QLoRA• 3y+
TensorRT-LLM• 3y+
vLLM• 3y+
LangGraph
PyTorch
RLHF
Frontend
D3.js• 13y+
Next.js• 4y+
React.js• 4y+
DevOps
Azure
Azure AKS
Azure DevOps
CircleCI
Docker
GCP
GitHub Actions
Google GKE
Helm
Jenkins
Rest API
AWS• 10y+
CI/CD• 10y+
Terraform• 7y+
Amazon EKS• 4y+
Grafana• 4y+
Kubernetes• 4y+
Prometheus• 4y+
Cybersecurity
GDPR• 4y+
HIPAA• 4y+
Analytics
Power BI
Tableau
Plotly• 13y+
Timeline
Senior AI/ML Engineer
•
Senior
Andor Health
•
Full-Time
Led the design and deployment of an agentic, multimodal healthcare AI platform for real-time clinical decision support and workflow automation. Built end-to-end data pipelines from EHR (FHIR) and document inputs, developed hybrid RAG and multi-agent orchestration, and integrated MCP to connect LLMs with clinical data sources. Implemented fine-tuning and optimized inference, plus evaluation and monitoring with MLOps guardrails for GDPR/HIPAA.
RAG
LangGraph
AWS Bedrock
Amazon EKS
Kubernetes
pySpark
QLoRA
PEFT
vLLM
TensorRT-LLM
MLFlow
Prometheus
Grafana
LangSmith
GDPR
HIPAA
Next.js
React.js
BERT
Senior Machine Learning Engineer
•
Senior
Novalnet
•
Full-Time
Developed NLP-driven automation for financial documents, including classification, summarization, and anomaly detection. Built conversational and retrieval-based assistant prototypes to automate a large share of customer support interactions. Implemented scalable data and MLOps workflows using PySpark plus Kubeflow, Terraform, and CI/CD, with human-in-the-loop evaluation and compliance-oriented model alignment.
BERTsince 2019
spaCy
pySparksince 2019
Kubeflow
Terraform
CI/CD
Machine Learning Engineer
•
Middle
Inovex GmbH
•
Full-Time
Built end-to-end ML solutions for fraud detection, churn prediction, and credit scoring using classical models and ML tooling. Created ETL and transformation pipelines for large transaction volumes, and deployed time-series forecasting models to improve KPI predictions. Designed analytics data warehouses and set up CI/CD for reproducible ML training and continuous delivery.
XGBoost
Scikit-learn
Spark
Airflow
AWS
Amazon Redshift
Google BigQuery
Prophet
CI/CDsince 2016
Python Developer
•
Middle
Zitec
•
Full-Time
Developed and maintained backend APIs in Python using Flask with PostgreSQL to support analytics platforms. Built interactive dashboards using JavaScript, D3.js, and Plotly to improve reporting efficiency. Implemented data processing and automation for client needs and created ML utilities using scikit-learn and Spark for enhanced analytics and predictive features.
Flask
PostgreSQL
JavaScript
D3.js
Plotly
Scikit-learnsince 2013
Sparksince 2013