Available for senior / staff engineering rolesFull-Stack & AI

Hi, I'm Amer.
AI/ML Engineer

AI . ML . RAG . LLM . Agentic Systems . Cloud

0+
Years Experience
0+
SaaS & MVPs Shipped
0
Tech Stacks

A cross-cutting specialization layered on top of Python, Rails and Node backends: LLM integrations, RAG pipelines, multi-agent orchestration, vector/semantic search and AI-driven analytics, shipped into real production products.

Contact Me
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Village Dr, Edison, NJ 08817, USA

What I do

Stack & Technologies

Core Backend

Ruby on Rails 6/7Ruby 3.xActiveRecordActionCableActionMailerSidekiqResqueDevisePundit

Frontend

JavaScript (ES6+)TypeScriptReact.jsNext.jsVue.jsNuxt.jsSveltePWAsTailwind CSSHTML5 / CSS3

ML / AI

TensorFlowPython ML pipelinesLangChainLlamaIndexOpenAI GPT-4RAG pipelines

LLMs / APIs

OpenAI API (GPT-4)OpenAI WhisperChatGPT integration

CI/CD

GitHub ActionsCircleCICapistranoVercelNetlifyHeroku

Databases

PostgreSQLMySQLMongoDBRedisSchema design & query optimization

Cloud / DevOps

AWS (EC2, S3, RDS, Lambda, CloudFront, VPC)DockerKubernetesGitHub ActionsCircleCIHerokuCapistrano

Vector / Search

pgvector semantic searchVector searchPostGIS-driven recommendations

Testing

RSpecFactoryBotCapybaraSimpleCovVCRMinitestTDD / BDD (90%+ coverage)

Data / BI

SnowflakeStreamlitETL PipelinespgvectorPostGISHigh-Volume OptimizationPredictive Analytics

Web3

Web3DAppsBlockchainSmart Contracts

Where I've worked

Professional Experience

Senior Full Stack Software Engineer

Tkxel

Feb 2024 - Continue
  • Owned end-to-end delivery of RAG-powered search and knowledge platform (MicroHealth) from problem definition and pipeline architecture through to production, iterating on ranking, latency, and response quality based on real usage patterns
  • Designed scalable document ingestion, retrieval, and LLM-based response pipelines balancing performance vs accuracy trade-offs for real-world healthcare data usability
  • Integrated ML models for predictive analytics and AI-driven decision-making into existing production systems, owning the full pipeline from model integration to live inference
  • Worked directly with stakeholders to refine AI output relevance and align LLM responses with real user needs
  • Built AI-powered multi-tenant SaaS marketplace (GoZupees) with automation workflows, service orchestration, and intelligent decisioning layers
  • Data Engineering:
  • Architected a production-grade ETL data pipeline using Python, AWS S3, and Snowflake handling large-volume data feeds with fault-tolerant design
  • Designed data ingestion and enrichment workflows supporting downstream ML model consumption and analytics
  • Backend Development:
  • Built high-performance Python (FastAPI/Django) and Rails backends powering AI-driven SaaS platforms with clean REST API design
  • Designed multi-tenant architectures enabling flexible and scalable AI feature expansion across products
  • Integrated Plaid, Bloom, Stripe, and Tilled for complete financial and payment user journeys within AI-powered platforms
  • DevOps & Infrastructure:
  • Managed Dockerized deployments with Kubernetes orchestration and GitHub Actions CI/CD pipelines supporting continuous AI model delivery
  • Provisioned AWS infrastructure (EC2, S3, RDS, Lambda) optimized for ML workloads and high-volume data processing
  • Implemented Sentry monitoring and automated testing frameworks ensuring AI pipeline reliability in production

Senior Software Engineer

Strategic Systems International

November 2021 – January 2024
  • Built scalable Node.js (plus Rails) apps with React/Vue.js frontends.
  • Designed microservices with modular, independently deployable services and secure APIs.
  • Built CI/CD pipelines, ETL (AWS S3 + Snowflake) and LLM/AI integration.
  • FrostyMetrics is an analytics platform built for Avalanche, providing developers with APIs and SDKs to access blockchain data. It supports real-time metrics, historical data, and custom analytics for applications on Avalanche.
  • Designed and implemented CI/CD pipelines, streamlining deployment workflows and release processes.
  • Built ETL data pipeline integrating from Python project to Snowflake for high-volume data processing via AWS S3.

Senior Devops Engineer

Solo

Sep 2019 - Oct 2021
  • Cloud Infrastructure & Architecture
  • Architected cloud-native deployments on AWS and GCP with high availability, fault tolerance, and disaster recovery configurations
  • Provisioned and managed AWS core services (EC2, S3, RDS, Lambda, VPC, CloudFormation) using Infrastructure as Code principles
  • Designed serverless and microservices architectures optimized for scalability, cost-efficiency, and independent deployability
  • CI/CD & Containerization
  • Built and maintained end-to-end CI/CD pipelines via GitHub Actions across dev, staging, and production environments
  • Managed Dockerized deployments with Kubernetes orchestration ensuring zero-downtime releases and auto-scaling
  • Built Playwright browser automation pipelines and automated testing frameworks improving reliability across CI pipelines

Software Engineer

The Tie

July 2018 – August 2019
  • Built a financial data and analytics platform delivering real-time market insights and AI-driven analytics
  • Developed secure authentication and user management with Auth0 integration
  • Designed scalable backend architecture using Ruby on Rails
  • Built responsive frontend using Vue.js
  • Deployed and managed infrastructure using Docker and AWS

Software Engineer

RYVYL - Quick Card

March 2017 – June 2018
  • Shipped full-stack apps with React, Vue.js and Nuxt.js (plus Rails) REST APIs and third-party services.
  • Scaled a REST API for 2M+ users on a social trading platform; 99.95% uptime SLA under sustained load.
  • Ran Sidekiq + Redis background jobs at 500,000+ async tasks/day (trade notifications, portfolio recalcs, email workflows) with zero data loss.
  • Led Heroku → AWS EC2/RDS migration; −30% monthly hosting cost.

Selected work

Projects

GoZupees — AI Call Center Platform

Full-Stack Engineer

  • Real-time AI call center management platform; WebSocket-based AI suggestions at 1–2s latency (OpenAI GPT + pgvector RAG).
  • Structured agent/ticket management with full CRUD REST APIs (FastAPI + SQLAlchemy).
  • Twilio WhatsApp, live call transcription and Stripe subscription management.
  • Docker on AWS with CI/CD via GitHub Actions.
Python (FastAPI)PostgreSQL (pgvector)OpenAI GPT-4LangChainSQLAlchemyTwilioWebSocketsReactTypeScriptDockerAWS

Also spans: AI / GenAI · JavaScript · Cloud

Genie AI — Location-Based Social Discovery

Backend Engineer

  • Scalable location-based discovery APIs with PostGIS analytics.
  • Real-time chat via WebSockets; RabbitMQ event messaging.
  • AI-powered recommendations (LangChain LLM + RAG personalization).
  • Auth0 auth and Redis caching supporting thousands of concurrent users.
Python (FastAPI)PostgreSQL (PostGIS)LangChainOpenAI APIRedisRabbitMQDockerAuth0SQLAlchemy

Also spans: AI / GenAI

SoloSuit — Debt Resolution Platform

Senior Software Engineer

  • Led integration of Plaid + Bloom into the platform.
  • Introduced Playwright testing from scratch for critical debt-law workflows; delivered features and bug fixes for platform stability.
ReactNode.jsPlaywrightPlaidBloom API

The Tie — ChatGPT-Powered Financial Analysis

AI Engineer

  • Real-time market insights with ChatGPT integration.
ChatGPTRuby on RailsVue.js

Also spans: Ruby on Rails

TribeAWL — Medical Spa SaaS Platform

Full-Stack Engineer

  • Multi-tenant SaaS: client/staff management, appointment booking, inventory tracking, role-based portals and real-time notifications.
  • Stripe + Tilled PCI-compliant payments; Twilio SMS and in-app chat via WebSockets.
React.jsTailwindRuby on RailsPostgreSQLWebSocketsStripeTilledActive Storage

Also spans: JavaScript (React)

Frosty Metrics — Crypto Analytics Platform

Full-Stack Engineer

  • High-performance real-time crypto analytics: token tracking, historical data viz and AI-driven predictive analytics via Python ML pipelines.
  • Scalable microservices, real-time data pipelines and containerized cloud deploys handling large transaction volumes; secure GraphQL APIs.
Node.jsPython (Django, ML)ReactNext.jsPostgreSQLRedisDockerKubernetesAWSWebSocketsGraphQLLLM

Also spans: JavaScript · AI / GenAI · Cloud

MicroHealth — AI & RAG-Based Knowledge Platform

Senior Software Engineer (Full-Stack / Backend)

  • End-to-end RAG-powered intelligent document search for healthcare data.
  • Scalable Django/FastAPI ingestion pipelines with pgvector semantic search.
  • Streamlit dashboards for admin analytics and model-performance monitoring.
  • Iterated on relevance, latency and quality against real clinical user needs.
Python (FastAPI/Django)PostgreSQL (pgvector)OpenAI GPT-4LangChainLlamaIndexAzureVue.jsStreamlit

Also spans: AI / GenAI