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I am an accomplished software engineer with over 11 years of experience leading full-stack AI and machine learning development across startup and enterprise environments. I specialize in building and deploying large-scale NLP, LLM, and computer vision systems on cloud platforms such as AWS, GCP, and Azure, leveraging modern DevOps practices like Docker and Kubernetes. I have a proven track record of driving product vision and scalability, having spearheaded AI initiatives at startups and delivered secure, HIPAA-compliant solutions in healthcare. My expertise includes LLM orchestration, multi-agent architectures using LangChain and LangGraph, as well as translating complex requirements into technical architectures. I am passionate about mentoring engineering teams and delivering high-impact AI products end-to-end, combining my technical skills with collaborative leadership to create innovative solutions that accelerate business outcomes.…I am an accomplished software engineer with over 11 years of experience leading full-stack AI and machine learning development across startup and enterprise environments. I specialize in building and deploying large-scale NLP, LLM, and computer vision systems on cloud platforms such as AWS, GCP, and Azure, leveraging modern DevOps practices like Docker and Kubernetes. I have a proven track record of driving product vision and scalability, having spearheaded AI initiatives at startups and delivered secure, HIPAA-compliant solutions in healthcare. My expertise includes LLM orchestration, multi-agent architectures using LangChain and LangGraph, as well as translating complex requirements into technical architectures. I am passionate about mentoring engineering teams and delivering high-impact AI products end-to-end, combining my technical skills with collaborative leadership to create innovative solutions that accelerate business outcomes.

Berkay Tor

Full Stack Developer, AI Engineer, Developer, +1

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I am an accomplished software engineer with over 11 years of experience leading full-stack AI and machine learning development across startup and enterprise environments. I specialize in building and deploying large-scale NLP, LLM, and computer vision systems on cloud platforms such as AWS, GCP, and Azure, leveraging modern DevOps practices like Docker and Kubernetes. I have a proven track record of driving product vision and scalability, having spearheaded AI initiatives at startups and delivered secure, HIPAA-compliant solutions in healthcare. My expertise includes LLM orchestration, multi-agent architectures using LangChain and LangGraph, as well as translating complex requirements into technical architectures. I am passionate about mentoring engineering teams and delivering high-impact AI products end-to-end, combining my technical skills with collaborative leadership to create innovative solutions that accelerate business outcomes.…I am an accomplished software engineer with over 11 years of experience leading full-stack AI and machine learning development across startup and enterprise environments. I specialize in building and deploying large-scale NLP, LLM, and computer vision systems on cloud platforms such as AWS, GCP, and Azure, leveraging modern DevOps practices like Docker and Kubernetes. I have a proven track record of driving product vision and scalability, having spearheaded AI initiatives at startups and delivered secure, HIPAA-compliant solutions in healthcare. My expertise includes LLM orchestration, multi-agent architectures using LangChain and LangGraph, as well as translating complex requirements into technical architectures. I am passionate about mentoring engineering teams and delivering high-impact AI products end-to-end, combining my technical skills with collaborative leadership to create innovative solutions that accelerate business outcomes.

Available to hire

I am an accomplished software engineer with over 11 years of experience leading full-stack AI and machine learning development across startup and enterprise environments. I specialize in building and deploying large-scale NLP, LLM, and computer vision systems on cloud platforms such as AWS, GCP, and Azure, leveraging modern DevOps practices like Docker and Kubernetes. I have a proven track record of driving product vision and scalability, having spearheaded AI initiatives at startups and delivered secure, HIPAA-compliant solutions in healthcare.

My expertise includes LLM orchestration, multi-agent architectures using LangChain and LangGraph, as well as translating complex requirements into technical architectures. I am passionate about mentoring engineering teams and delivering high-impact AI products end-to-end, combining my technical skills with collaborative leadership to create innovative solutions that accelerate business outcomes.

Skills

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Expert

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Intermediate

Work Experience

Senior Software Engineer - Machine Learning System at Mapped

March 1, 2025 - Present

Architected and implemented MappedGPT, an LLM-powered query interface using FastAPI and GraphQL integrated with OpenAI GPT-4 for translating natural language to GraphQL queries, reducing query development time by ~50%. Developed retrieval pipelines using PGVector and Haystack for retrieval-augmented generation with sub-second latency and better relevance. Built a conversational UI with LibreChat integrated into the GraphQL console, boosting usage by ~30%. Containerized microservices using gRPC deployed on Kubernetes with auto-scaling, sustaining thousands of concurrent sessions with 99.9% uptime. Designed and implemented Anaxi, a smart multi-tool AI chatbot powered by GPT-4 and the Model Context Protocol for dynamic invocation of domain-specific tools, improving answer accuracy by ~15%. Engineered full-stack infrastructure with FastAPI, gRPC, Docker, and Kubernetes delivering sub-300ms median response times.

Senior Machine Learning Engineer at Integral Ad Science

March 1, 2025 - August 5, 2025

Led design and implementation of scalable NLP data pipelines on Databricks for web page classification, sentiment analysis, and entity recognition using PostgreSQL for storage. Developed and fine-tuned transformer-based NLP models on AWS to improve content relevance prediction, increasing classification accuracy to >90% and driving a 15% uplift in ad click-through rate. Utilized MLflow and Databricks notebooks for experiment tracking and reproducible workflows. Deployed FastAPI microservices on AWS ECS/EKS with Redis caching supporting sub-100ms inference latency for real-time ad serving. Collaborated cross-functionally to integrate NLP-derived signals improving ad relevance and campaign ROI while monitoring performance using AWS CloudWatch.

Full Stack AI Engineer at Innowise Group

September 1, 2022 - August 5, 2025

Ensured HIPAA compliance by implementing encrypted data pipelines and secure storage for protected health information. Developed TensorFlow CNN computer vision models analyzing medical imaging with ~90% accuracy to support clinical decision-making. Built NLP workflows using BERT-based transformers for extracting insights from electronic health records improving patient risk stratification. Engineered full-stack applications with React.js front-end and Node.js/Flask back-end integrating AI predictions and real-time visualizations. Deployed AI services securely on AWS and Azure with containerization and CI pipelines for scalable production deployment. Collaborated with clinicians to validate models and ensure healthcare standards compliance.

AI/ML Engineer at AnatomizeTech

October 1, 2020 - August 5, 2025

Developed predictive ML models using Python with scikit-learn and TensorFlow/Keras for image and signal data achieving over 90% classification accuracy. Created RESTful APIs and web interfaces using Flask/Django and React for serving ML models and interactive visualizations. Automated preprocessing and feature engineering pipelines to enable efficient handling of large datasets. Maintained DevOps pipelines with Docker and Jenkins and implemented monitoring using Prometheus and Grafana. Researched and prototyped advanced AI techniques including GANs and transfer learning to improve model robustness and contribute to innovation.

Machine Learning Engineer at Becton, Dickinson and Company

December 1, 2016 - August 5, 2025

Designed and implemented deep learning models for medical device diagnostics using TensorFlow/Keras CNNs for image classification and YOLO for real-time object detection reducing manual review time by over 20%. Built NLP pipelines with NLTK and spaCy for clinical report analysis automating feature extraction. Architected cloud-based data pipelines on GCP using BigQuery, Cloud Functions, Cloud Storage, and deployed ML workflows on Vertex AI and Kubernetes Engine enabling scalable model training and production deployments.

Machine Learning Intern at Genalyte, Inc.

December 1, 2012 - August 5, 2025

Developed image analysis and ML prototypes for diagnostic devices using ImageJ and MATLAB for preprocessing and segmentation. Applied PCA for feature extraction and built prototype CNN models using TensorFlow/Keras. Automated data processing using Python scripts improving iteration speed. Documented findings and collaborated with senior engineers to refine models and enhance prediction accuracy.