Boris Bershadsky

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INTRODUCTION

I'm a Web + APP
Software Engineer

ABOUT

Highly skilled and motivated Full Stack Software Engineer

Highly accomplished Senior Full Stack Developer with 8+ years of experience delivering measurable impact across AI/ML pipelines, ETL workflows, and scalable SaaS solutions

SERVICES

What I can do.

Impactful projects using modern tech to make a significant impact in the industry

A.I and Prompt Engineering
GPT 3.5/4, MidJourney, LLaMA, Stable Diffusion 2, ControlNet
Web Development
NextJS, Python + Django, Go
tRPC, AJAX , REST,
PHP • Nginx/Apache, Web3.js
FastAPI, Flask, Supabase, AppWrite
Mobile App Development (IOS + Android)
Flutter 3.x, Android Studio, React Native, API Integration
Backend Infrastructure and Blockchain
NextJS, Django, Docker, Kubernetes, Nginx/Apache, Tendermint, Solidity, EVM

RESUME

Experience

Platform agnostic: Web, Infrastructure, and Hardware

FlipGive

2024-2024

React Native Developer

AI Integration & Analytics:

Conducted AI-powered user behavior analytics with PostHog, identifying 3 user journey bottlenecks, increasing user retention
Responsible for migrating ReactJS to React Native Expo SDK50 Typescript for IOS, Android, Web
Implemented predictive analytics features for user engagement, resulting in 35% higher user session durations
Developed scripted testing framework for data driven feature rollout using Mobot, bash, and EAS reducing testing time by 75%

Technical Achievements:

Managed entire lifecycle of Sports Connect white label platform for Stack Rewards, achieving 100% client satisfaction
Converted 50+ TypeScript React components to React Native with performance optimization, achieving 40% faster app load • Built testing toolkit in RN Expo for new feature deployment, validation, and publishing, reducing release cycle time by 200% • Collaborated with 6 person engineering team in agile environment, conducting knowledge sharing sessions

Technologies: React Native, TypeScript, Expo, PostHog, Mobot, Jest, Cypress

Duffl

2023-2024

Senior Full Stack React Native Developer

Full Stack Development & DevOps:

Migrated ReactJS to React Native Expo SDK 50 with TypeScript for cross-platform deployment, achieving 90%+ code reuse between React web and Expo mobile platforms (iOS and Android), reducing development time by 60%
Implemented AWS S3 for delivery drop-off photos, enabling real-time delivery verification for 1,000+ daily deliveries
Created product, category, and staff modules with dynamic pricing algorithms, increasing average order value by 18% and boosting customer retention
Upgraded NodeJS from v14 to v21 with security patches, eliminating 12 critical vulnerabilities and improving performance by 25%

AI & Analytics Features:

Integrated PostHog for user pattern identification and UX optimization in A/B tests, identifying 5 key conversion bottlenecks
Developed predictive delivery time algorithms using historical data analysis, enhancing delivery accuracy
Built a real-time notification system with WebSockets and push notifications, achieving a 98% notification delivery success rate

Team Leadership:

Collaborated with Lead Designer to transform Figma mockups into production-ready features, reducing design-to-development handoff time by 50%
Mentored frontend developers in React Native best practices and performance optimization, resulting in 40% faster feature deployment
Implemented comprehensive testing with Cypress and Jest, achieving 70%+ code coverage and reducing QA cycle time by 60%

Technologies: React Native, TypeScript, Expo, AWS S3, NodeJS, PostgreSQL, WebSockets, Cypress, Jest

Kindred.ai

2021-2023

Software Developer

AI & Robotics Integration:

Engineered the OnGrid Robotic Pick (OGRP) platform using gRPC, React, and Go, enabling 24/7 automated operations, increasing picking efficiency by 250%, and reducing human error by 98%
Designed computer vision algorithms for robotic control and food/grocery object recognition, achieving 98% object detection accuracy
Built enterprise-grade monitoring systems for robotic operations and performance/QA analytics, delivering 99.9% operational visibility
Experimented with Vertex AI for advanced ML model training and deployment, improving robotic decision-making accuracy

DevOps & Infrastructure:

Orchestrated Nomad/Docker camera and software control stacks on UR10e robots, managing 10+ robots across 2 locations
Maintained 24/7 production support through PagerDuty and Slack for critical operations
Automated testing and deployment pipelines, reducing production incidents by over 90% and accelerating deployment cycles

Technologies: Go, gRPC, React, Docker, Nomad, PostgreSQL, Computer Vision, Vertex AI

Silkographics Inc.

2020-2021

Computer Systems Analyst

Responsible for researching various technologies to identify opportunities for increasing the organization's efficiency
Conducted comprehensive cost-benefit analyses of IT systems and potential upgrades
Enhancing the functionality of existing computer systems using software such as Microsoft Windows, Powershell, Microsoft Office
Designed new system processes by configuring hardware, software, and networking components effectively using Google Chrome
Python: Boris built a backend using Python and Bottle framework to
track sensor data
Unit Testing, and CI/CD: Boris tested internal systems on a daily basis and created a CI/CD pipeline to deploy new code to our staging environment.
React: He built a Python (Flask) backend and React frontend to display
sensor data in a thin web client.
SQL Database: Boris recorded sensor data onto our MySQL database for
long term storage.
AWS: Boris employed AWS to deploy sensor data and graphs for internal
deployments and external stakeholders.
REST APIs: He built a REST API to connect the Python backend with
MySQL to display sensor data in the web browser.
Google Suite & Analytics: Boris used the Google Suite to keep track of
each sensor test and record the user's UX experience for future
improvements.

ChainVu

2019-2020

Senior Embedded Software Developer

IoT & Data Engineering:

Engineered embedded firmware and drivers for TI CC2642 and NRF52832 MCUs, enabling deployment of 1,000+ IoT sensors
Implemented OTA software updates for large-scale sensor networks, enabling remote bug fixes on deployed devices
Built end-to-end testing environment with real-time BLE sensor monitoring, cutting time-to-market by 60%

Data Pipeline Development:

Developed multi-user dashboard with Raspberry Pi 4, Grafana, PostgreSQL, and InfluxDB, delivering real-time client monitoring
Created sensor inventory tracking tool using ReactJS and Python Flask, reducing management overhead by 80%
Designed and implemented ETL workflows for sensor data processing and analytics, handling 100K+ data points daily

Technologies: Embedded C, RTOS, Python, Flask, PostgreSQL, InfluxDB, Grafana, BLE IoT Protocols

Sensor Breath

2016-2018

Computer Systems Firmware Analyst

Designed + developed a test bench to record, analyze, graph, and backup real-time sensor data for a 24bit ADC MCU based on Teensy 3.2 and Raspberry Pi using C++, Python, Plot.ly, and MongoDB
Built and tested a portable ”Intelligent Hot Plate” with mobile remote control of temperatures between -4C to +60C with 0.25 degree precision accounting for hysteresis using PT100 RTD, 2P2T relays, custom designed PCB, 12v peltier module, voltage boost converter, and ESP32 NodeMCU
Created a low latency tiny live view web client with Plot.ly, React, Meteor, and MongoDB
Python: Boris built a backend using Python and Bottle framework to
track sensor data
Unit Testing, and CI/CD: Boris tested internal systems on a daily basis and created a CI/CD pipeline to deploy new code to our staging environment.
React: He built a Python (Flask) backend and React frontend to display sensor data in a thin web client.
SQL Database: Boris recorded sensor data onto our MySQL database for
long term storage.
AWS: Boris employed AWS to deploy sensor data and graphs for internal deployments and external stakeholders.
REST APIs: He built a REST API to connect the Python backend with
MySQL to display sensor data in the web browser.
Google Suite & Analytics: Boris used the Google Suite to keep track of each sensor test and record the user's UX for future improvements.

SKILLS

Technical Skills and Interests

Front End, React/Native

85%

Back End, Infrastructure

80%

A.I and Prompt Engineering

70%

Blockchain and Solidity

70%

Live Portfolio

Zeroid.me

Decentralized Employment Verification Platform – Designed and deployed a multichain identity and credential verification system using Polkadot ink! and Stellar Soroban smart contracts. Integrated Stellar Passkey authentication for phishing-resistant access, blockchain-based background checks reducing verification time from 7 days to 60 seconds, and IPFS for cost-efficient, immutable data storage. Achieved 99.9% cross-chain transaction success and zero fraud incidents while providing real-time transparency via user and business dashboards.

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GoldenKey Web APP

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