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Hi, I’m Peter Pechinin, a full-stack engineer with 8+ years of experience delivering scalable, production-ready systems—balancing frontend usability, backend performance, and cloud-native infrastructure. I enjoy building end-to-end solutions that empower teams and users alike. As a founding engineer at Monterey AI, I designed and launched an AI co-pilot that analyzes thousands of customer feedback messages daily, automatically creates Jira tickets and Slack alerts, cuts support escalations by 60% and speeds up product decisions. Previously I scaled real-time location tracking systems at Uber Eats and developed anomaly-detection ML for medical devices at LivaNova. I own modern stacks end-to-end: React/Next.js + TypeScript frontends, Python (FastAPI/LangChain) & Node.js backends, Kafka/Airflow pipelines, RAG + LLM orchestration, Kubernetes/AWS infra, and observability.…Hi, I’m Peter Pechinin, a full-stack engineer with 8+ years of experience delivering scalable, production-ready systems—balancing frontend usability, backend performance, and cloud-native infrastructure. I enjoy building end-to-end solutions that empower teams and users alike. As a founding engineer at Monterey AI, I designed and launched an AI co-pilot that analyzes thousands of customer feedback messages daily, automatically creates Jira tickets and Slack alerts, cuts support escalations by 60% and speeds up product decisions. Previously I scaled real-time location tracking systems at Uber Eats and developed anomaly-detection ML for medical devices at LivaNova. I own modern stacks end-to-end: React/Next.js + TypeScript frontends, Python (FastAPI/LangChain) & Node.js backends, Kafka/Airflow pipelines, RAG + LLM orchestration, Kubernetes/AWS infra, and observability.

Peter Pechinin

Full Stack Developer, Web Developer, Front-End Developer, +3

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Hi, I’m Peter Pechinin, a full-stack engineer with 8+ years of experience delivering scalable, production-ready systems—balancing frontend usability, backend performance, and cloud-native infrastructure. I enjoy building end-to-end solutions that empower teams and users alike. As a founding engineer at Monterey AI, I designed and launched an AI co-pilot that analyzes thousands of customer feedback messages daily, automatically creates Jira tickets and Slack alerts, cuts support escalations by 60% and speeds up product decisions. Previously I scaled real-time location tracking systems at Uber Eats and developed anomaly-detection ML for medical devices at LivaNova. I own modern stacks end-to-end: React/Next.js + TypeScript frontends, Python (FastAPI/LangChain) & Node.js backends, Kafka/Airflow pipelines, RAG + LLM orchestration, Kubernetes/AWS infra, and observability.…Hi, I’m Peter Pechinin, a full-stack engineer with 8+ years of experience delivering scalable, production-ready systems—balancing frontend usability, backend performance, and cloud-native infrastructure. I enjoy building end-to-end solutions that empower teams and users alike. As a founding engineer at Monterey AI, I designed and launched an AI co-pilot that analyzes thousands of customer feedback messages daily, automatically creates Jira tickets and Slack alerts, cuts support escalations by 60% and speeds up product decisions. Previously I scaled real-time location tracking systems at Uber Eats and developed anomaly-detection ML for medical devices at LivaNova. I own modern stacks end-to-end: React/Next.js + TypeScript frontends, Python (FastAPI/LangChain) & Node.js backends, Kafka/Airflow pipelines, RAG + LLM orchestration, Kubernetes/AWS infra, and observability.

Available to hire

Hi, I’m Peter Pechinin, a full-stack engineer with 8+ years of experience delivering scalable, production-ready systems—balancing frontend usability, backend performance, and cloud-native infrastructure. I enjoy building end-to-end solutions that empower teams and users alike.

As a founding engineer at Monterey AI, I designed and launched an AI co-pilot that analyzes thousands of customer feedback messages daily, automatically creates Jira tickets and Slack alerts, cuts support escalations by 60% and speeds up product decisions. Previously I scaled real-time location tracking systems at Uber Eats and developed anomaly-detection ML for medical devices at LivaNova. I own modern stacks end-to-end: React/Next.js + TypeScript frontends, Python (FastAPI/LangChain) & Node.js backends, Kafka/Airflow pipelines, RAG + LLM orchestration, Kubernetes/AWS infra, and observability.

Skills

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Expert

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Language

English

Fluent

Work Experience

Senior Full Stack Engineer at Monterey AI (Startup)

August 1, 2022 - July 31, 2025

Engineered a real-time AI-native dashboard and insights co-pilot UI using React, Next.js, TypeScript, TailwindCSS, React Query, Zustand, Recharts and D3.js; built a multi-channel ingestion pipeline (Python, FastAPI, Redis queues, SQS) to normalize thousands of messages from Slack, Zendesk, Intercom, and Discord with idempotency and schema enforcement; implemented Slack and Jira/Linear integrations to deliver real-time AI alerts and pre-filled tickets; architected a multi-hop RAG-based agent co-pilot using LangChain, GPT-4, and Milvus; fused BM25 with dense vector search to reduce irrelevant queries by ~35%; owned DevOps responsibilities (Docker, AWS EKS/Lambda/RDS/S3), CI/CD (GitHub Actions) and monitoring.

Software Development Engineer at Uber Technologies Inc.

December 1, 2019 - August 31, 2022

Designed and shipped real-time order tracking and live map visualization features for the Uber Eats Restaurant Dashboard and customer web/app using React/TypeScript, React Native, WebSockets, and Mapbox; delivered sub-second status updates via Kafka; developed replay tools for autonomy engineers to visualize sensor data and decision timelines, shortening debug cycles by 60%; architected a high-throughput real-time tracking pipeline ingesting millions of GPS/location events per minute and enabling AI features like dynamic ETA; built Terraform modules and IaC for provisioning multi-region PostgreSQL read replicas, Redis clusters, and Kafka brokers, reducing manual ops by 90% and improving disaster-recovery readiness.

Junior Software Developer at LivaNova

August 1, 2017 - October 31, 2019

Built data processing modules with JavaScript/Node.js for internal reporting; integrated device logs to support R&D for heart monitoring products; implemented supervised learning in Python for anomaly detection, reducing false positives by 30% and aiding compliance in medical software development; built internal tools using Vue.js and Python backend, facilitating data entry for trials and increasing cross-functional collaboration.

Senior Full Stack Engineer at Monterey AI

August 1, 2022 - July 1, 2025

Engineered a real-time AI-native dashboard and insights co-pilot UI using React, Next.js, TypeScript, TailwindCSS, React Query, Zustand, Recharts and D3.js; enhanced UX with streaming AI responses, state management optimization, and evidence-linked insight displays. Built a resilient multi-channel ingestion pipeline using Python, FastAPI, Redis queues, SQS, and Airflow-like scheduled jobs to normalize thousands of Slack, Zendesk, Intercom, and Discord messages per day with strong idempotency, deduplication, and schema enforcement. Implemented Slack and Jira/Linear integrations in Node.js/TypeScript, using webhooks and bot APIs to deliver real-time AI alerts on trending issues and to auto-generate pre-filled tickets directly from user feedback clusters. Architected and productionized a multi-hop RAG-based Agentic AI Copilot using LangChain, LangGraph, OpenAI GPT-4, and Milvus; enabled users to query 50k+ customer feedback records with natural language, powering evidence-backed insights