Aleksandrs Bereznickis
AI Engineer
10+ years exp
10+ years ML exp
SQL
Go
JavaScript
TypeScript
Python
Lua
Java
Active 7 days ago
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Overview
Technical skills
Timeline
Roles
Overview
Principal AI engineer focused on production GenAI, LLM, and agentic AI systems, including multi-agent orchestration and hybrid RAG architectures. Extensive experience delivering end-to-end LLMOps/MLOps on Azure, GCP, and AWS, integrating AI into enterprise workflows and maintaining strong safety and evaluation practices. Significant domain work includes HIPAA/GDPR-aligned healthcare voice and EHR-connected assistants.
Technical skills
SQL
Go
JavaScript
TypeScript
Python• Junior • 10y+
Lua• Junior • 10y+
Java
Python
pySpark
Flask• 6y+
FastAPI
Java
Spring Boot
Databases
Amazon Redshift
Databricks
Google BigQuery
Pinecone
PostgreSQL
Presto
Qdrant
Weaviate
Apache Kafka• 10y+
Cassandra• 10y+
Redis• 6y+
FAISS• 4y+
Neo4j• 4y+
pgvector
AI/ML
Arize Phoenix
AutoGen
AWS Bedrock
Bitsandbytes
CrewAI
DeepEval
Embeddings
Feast
Fine-tuning
Function Calling
Hallucination
Langfuse
LangSmith
LightGBM
LLM
Mistral
Multimodal AI
NLP
PEFT
Quantization
RAG
RLHF
Semantic Search
Sentiment Analysis
TensorRT
Tokenization
Transfer Learning
Transformers
Vertex AI
Airflow• 10y+
CNN• 10y+
PyTorch• 10y+
Reinforcement Learning• 10y+
Scikit-learn• 10y+
Spark• 10y+
XGBoost• 10y+
ONNX• 9y+
MLFlow• 8y+
BERT• 6y+
Kubeflow• 6y+
NLTK• 6y+
ResNet• 6y+
spaCy• 6y+
TensorFlow• 6y+
LoRA• 5y+
Guardrails AI• 3y+
Llama• 3y+
QLoRA• 3y+
Qwen• 3y+
TensorRT-LLM• 3y+
vLLM• 3y+
Claude
Gemini
LangChain
LangGraph
NeMo Guardrails
NER
Model Context Protocol
Prompt Engineering
AI Agents
Copilot
Haystack
Semantic Kernel
Claude Code
Frontend
GraphQL
React.js
DevOps
AWS Lambda
CI/CD
CircleCI
Git
Rest API
Terraform
Vector
Azure• 6y+
Docker• 6y+
GitHub Actions• 6y+
Grafana• 6y+
Kubernetes• 6y+
Nginx• 6y+
Prometheus• 6y+
Amazon EKS• 4y+
AWS• 4y+
GCP• 4y+
WebRTC• 4y+
Azure AKS
OpenTelemetry
Cybersecurity
GDPR
HIPAA
SonarQube
Cryptography
Vault
Timeline
Principal AI Engineer
•
Lead
Simform
•
Full-Time
Architects and leads multi-agent orchestration for enterprise clients using LangGraph and tool-calling agent patterns across multiple LLM backends. Builds and operates a production fleet of MCP servers to stream enterprise content into hybrid RAG pipelines with low latency. Implements guarded generation and continuous LLM evaluation, then deploys streaming agent services on Azure with observability across agent and tool hops.
LangGraph
LangChain
Claude
Gemini
pgvector
Redis
NeMo Guardrails
Guardrails AI
FastAPI
Azure AKS
OpenTelemetry
MLFlow
QLoRA
Llama
Qwen
Azure
Senior Machine Learning Engineer
•
Senior
Andor Health
•
Full-Time
Leads development of an agentic healthcare platform integrating with Epic and Cerner via HL7 FHIR REST APIs to provide patient-aware clinical assistance. Builds a real-time multimodal voice pipeline using ASR-to-agent-to-TTS orchestration and integrates it with WebRTC sessions. Deploys hybrid RAG over structured FHIR data and unstructured clinical notes, enforces HIPAA/GDPR-safe handling, and optimizes inference using vLLM and TensorRT-LLM for production loads.
LangGraphsince 2022
WebRTC
Llamasince 2022
Qwensince 2022
LoRA
QLoRAsince 2022
FAISS
Guardrails AIsince 2022
Neo4j
vLLM
TensorRT-LLM
GCP
AWS
Amazon EKS
Machine Learning Engineer
•
Middle
Eleks
•
Full-Time
Designs and deploys an AI knowledge management system using Azure-hosted LLMs, integrating Jira and Confluence content into an enterprise workflow via a Teams bot adapter. Fine-tunes multiple NLP models for extraction, summarization, and document processing, including LoRA-based adaptation and ONNX-based deployment optimizations. Builds production services for sentiment analysis and NER, using Flask behind Nginx with Redis caching, and delivers an MLOps pipeline with Kubeflow, Docker, Kubernetes, and monitoring.
Azuresince 2020
LoRAsince 2020
BERT
ONNX
spaCy
NLTK
Flask
Nginx
Redissince 2020
TensorFlow
ResNet
Kubeflow
Docker
Kubernetes
GitHub Actions
Prometheus
Grafana
Machine Learning Engineer
•
Middle
Meta
•
Full-Time
Contributes to large-scale internal ML infrastructure and ranking/recommendation pipelines, working on workflow definitions, validation gates, and production promotion for high-throughput model serving. Builds deep learning text-understanding components and accelerates migration from Lua/Torch-based tooling to PyTorch and ONNX-style production ecosystems. Implements data processing pipelines using Spark, Kafka, Airflow, and stores engineered features in Cassandra for low-latency serving lookup.
Python
Lua
PyTorch
ONNXsince 2016
CNN
Reinforcement Learning
Apache Kafka
Airflow
Cassandra
Spark
XGBoost
Scikit-learn
MLFlowsince 2016
Stanford University
Master's Degree •
Computer Science