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I'm John Perisic, a senior Python & AI engineer with 10+ years of experience designing and delivering scalable backend systems, AI/ML pipelines, and real-time data platforms. I specialize in production-grade Python services, batch and streaming data pipelines, and deploying ML/LLM systems using Docker, GitLab CI/CD, and Terraform. I excel at architecting end-to-end AI/ML workflows, including model training, batch and real-time scoring, feature engineering, and MLOps automation. I’ve worked with large-scale datasets, event-driven architectures, and cloud-native systems on AWS. I’m known for translating complex business problems into scalable, reliable solutions through collaboration with cross-functional teams and delivering high-impact results with strong observability and reliability.…I'm John Perisic, a senior Python & AI engineer with 10+ years of experience designing and delivering scalable backend systems, AI/ML pipelines, and real-time data platforms. I specialize in production-grade Python services, batch and streaming data pipelines, and deploying ML/LLM systems using Docker, GitLab CI/CD, and Terraform. I excel at architecting end-to-end AI/ML workflows, including model training, batch and real-time scoring, feature engineering, and MLOps automation. I’ve worked with large-scale datasets, event-driven architectures, and cloud-native systems on AWS. I’m known for translating complex business problems into scalable, reliable solutions through collaboration with cross-functional teams and delivering high-impact results with strong observability and reliability.

John Perisic

AI Engineer, Full Stack Developer, Web Developer, +3

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I'm John Perisic, a senior Python & AI engineer with 10+ years of experience designing and delivering scalable backend systems, AI/ML pipelines, and real-time data platforms. I specialize in production-grade Python services, batch and streaming data pipelines, and deploying ML/LLM systems using Docker, GitLab CI/CD, and Terraform. I excel at architecting end-to-end AI/ML workflows, including model training, batch and real-time scoring, feature engineering, and MLOps automation. I’ve worked with large-scale datasets, event-driven architectures, and cloud-native systems on AWS. I’m known for translating complex business problems into scalable, reliable solutions through collaboration with cross-functional teams and delivering high-impact results with strong observability and reliability.…I'm John Perisic, a senior Python & AI engineer with 10+ years of experience designing and delivering scalable backend systems, AI/ML pipelines, and real-time data platforms. I specialize in production-grade Python services, batch and streaming data pipelines, and deploying ML/LLM systems using Docker, GitLab CI/CD, and Terraform. I excel at architecting end-to-end AI/ML workflows, including model training, batch and real-time scoring, feature engineering, and MLOps automation. I’ve worked with large-scale datasets, event-driven architectures, and cloud-native systems on AWS. I’m known for translating complex business problems into scalable, reliable solutions through collaboration with cross-functional teams and delivering high-impact results with strong observability and reliability.

Available to hire

I’m John Perisic, a senior Python & AI engineer with 10+ years of experience designing and delivering scalable backend systems, AI/ML pipelines, and real-time data platforms. I specialize in production-grade Python services, batch and streaming data pipelines, and deploying ML/LLM systems using Docker, GitLab CI/CD, and Terraform.

I excel at architecting end-to-end AI/ML workflows, including model training, batch and real-time scoring, feature engineering, and MLOps automation. I’ve worked with large-scale datasets, event-driven architectures, and cloud-native systems on AWS. I’m known for translating complex business problems into scalable, reliable solutions through collaboration with cross-functional teams and delivering high-impact results with strong observability and reliability.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior AI Engineer at Bajai Inc

September 1, 2023 - January 1, 2026

Led end-to-end AI development using Python for data processing, model integration, orchestration, and service logic. Delivered production LLM features and automation tools leveraging OpenAI, Anthropic, Bedrock, and open-source models. Implemented Python-based RAG architectures with embeddings and vector databases (pgvector, Pinecone) and built autonomous, multi-step agent workflows with LangChain, LangGraph, LlamaIndex, and DSPy. Fine-tuned open-source LLMs with domain-specific data and evaluation loops. Designed scalable AWS-based solutions (Lambda, S3, SQS/SNS, Step Functions) and Python MLOps pipelines (MLflow, DVC, Docker). Integrated CV pipelines (OpenCV, YOLO, Textract) for document/data extraction. Collaborated with product teams to translate business needs into AI-enabled solutions.

AI Engineer at Hugging Face

April 1, 2020 - November 1, 2023

Designed, fine-tuned, and deployed open-source LLMs using Transformers, applying prompt engineering and supervised fine-tuning to improve task accuracy and latency. Built RAG-powered applications with embeddings and vector databases (Pinecone, pgvector) for high-quality retrieval. Developed AI workflows with LangChain, LangGraph, and LlamaIndex for agent-based reasoning and multi-step orchestration. Implemented chatbot and conversational systems using OpenAI, Anthropic, AWS Bedrock, and Mistral APIs with context management and guardrails. Engineered backend AI services in Python and Node.js, integrating LLMs into microservices and event-driven systems. Built OCR and CV pipelines using AWS Textract, Comprehend, and OpenCV. Managed ML workflows with MLflow, DVC, and deployed workloads on AWS and serverless platforms. Collaborated with product and design teams to build dashboards and frontend integrations.

Python Engineer at Atlasiko

November 1, 2017 - January 1, 2020

Utilized ELK stack for centralized logging and monitoring. Built a client-facing web application using React on the frontend with Django and PostgreSQL on the backend, significantly improving user experience. Enhanced page speed and conversions on a major e-commerce product page. Leveraged SQLAlchemy for ORM security and performed data analysis with Pandas and NumPy to inform strategy. Implemented containerized builds with Docker, established CI/CD, and migrated Python apps to AWS for cost efficiency and uptime. Mentored junior developers, conducted code reviews, and optimized server performance with Nginx. Built a time-series analytics dashboard with TimescaleDB and scheduled tasks with Celery/Redis.

Full Stack Developer at FlexMade

March 1, 2016 - October 1, 2017

Developed interactive web interfaces with React and Angular, and built dynamic templates with Django and PHP for reusable layouts. Integrated frontend components with backend services (Python/Django) for real-time updates. Built and maintained RESTful APIs, managed databases (PostgreSQL, MySQL, Redis), and created reusable components to accelerate feature delivery. Wrote unit tests (Jest, Pytest) and collaborated with design teams to enhance UI/UX and performance. Deployed applications in Dockerized environments and supported cloud deployments.

Backend Developer at Litera

November 1, 2014 - January 1, 2016

Developed and maintained backend services using Python (Django/Flask) and PHP, building APIs and server-side logic. Designed and managed SQL databases (PostgreSQL, MySQL), built reusable backend modules, and integrated external APIs for authentication and data workflows. Implemented unit testing (Pytest, PHPUnit) and contributed to deployment in early cloud environments. Optimized API response times and supported over 50,000 API requests per month. Mentored teammates and contributed to code quality and stability.

Senior AI Engineer at Zadara

September 1, 2023 - January 1, 2026

Architected and developed scalable Python-based backend services for AI/ML workflows, enabling real-time and batch data processing with high throughput. Designed distributed microservices for real-time inference and batch scoring, integrating ML models into production environments with FastAPI and event-driven architectures. Built end-to-end data pipelines using Kafka and AWS Kinesis for real-time feature engineering and scoring. Implemented Airflow-based ETL for training and retraining pipelines. Created Terraform IaC to provision cloud resources across AWS/Azure. Established GitLab CI/CD pipelines, containerized services with Docker, and deployed on Kubernetes for scalability and reliability. Built real-time scoring APIs for NLP, computer vision, and LLM-based systems and integrated LLM pipelines with RAG architectures and vector databases.