Zahid Karim

Software Engineer

Tucson, Arizona, United States10 yrs 3 mos experience

AI ML PractitionerAI Enabled

Key Highlights

10+ years of experience in AI-powered SaaS development.
Expert in architecting RAG pipelines and AI agent workflows.
Proven track record in delivering high-impact projects across multiple sectors.

Stackforce AI infers this person is a Full-Stack Engineer specializing in AI-driven SaaS solutions across Healthcare, FinTech, and B2B sectors.

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Skills

Core Skills

Ai DevelopmentFull-stack DevelopmentData EngineeringFintechData Analytics

Other Skills

LangChainPineconeChromaDBPythonPandasNumPyScikit-learnPower BIPostgreSQLMongoDBReactNode.jsFastAPITypeScriptAWS

About

I sent a voice note to an AI agent last night. By morning, it had organized my sprint, drafted my emails, and configured my dev environment. That's the kind of AI I build. I'm a Full-Stack Software Engineer with 10+ years of experience building production AI systems that actually ship. Not prototypes. Not demos. Real platforms used by thousands across Healthcare, FinTech, Government, and B2B sectors. My sweet spot is where AI meets engineering: I architect RAG pipelines using LangChain, Pinecone, and ChromaDB that turn messy enterprise data into intelligent, searchable systems. I build AI agents that don't just chat - they execute tasks autonomously across WhatsApp, Slack, and Telegram. I design full-stack applications with React, Next.js, Node.js, Python, and TypeScript that scale to tens of thousands of users. On the data side, I bring Python (Pandas, NumPy, Scikit-learn), Power BI, and SQL-based analytics to every project - because AI without data insight is just guessing. What I've shipped recently: - Government biometric system processing 5,000+ daily records with real-time Power BI dashboards - HIPAA-compliant medical records platform with AI-powered data extraction - FinTech transaction engine with 100% data accuracy and automated analytics I'm currently based in Arizona, and actively looking for AI Engineer, Senior Software Engineer, or Full-Stack Developer roles in the USA. If you're building something where AI isn't a feature but the foundation - let's talk.

Experience

10 yrs 3 mos

Total Experience

5 yrs

Average Tenure

Current Experience

Froala

Senior Software Engineer (B2B SaaS) | AI-driven Architecture Engineer

Sep 2022 – Aug 2025 · 2 yrs 11 mos · United States · Remote

Core engineering team member for Froala (Idera, Inc.), a global B2B SaaS rich-text editor serving 10,000+ enterprise clients including Fortune 500 companies. Drove product reliability, performance optimization, and data-driven developer experience improvements across the full stack.
Key Contributions & Impact:
Conducted advanced root cause analysis on complex data-layer integration issues using PostgreSQL and custom diagnostic tooling, reducing enterprise ticket resolution time by 40% and saving 200+ engineering hours quarterly
Built data-driven analytics dashboards using Power BI and Python (Pandas, NumPy) that tracked product performance, customer usage patterns, and churn risk signals across 10K+ client base
Architected automated testing pipelines and CI/CD workflows using Docker, Git, and GitHub Actions, achieving 95% test coverage and reducing deployment failures by 60%
Leveraged AI-powered development tools (Claude AI, ChatGPT, GitHub Copilot, Cursor AI) for accelerated debugging, code review automation, and intelligent documentation generation - reducing code review cycle time by 35%
Performed predictive data analysis on customer support patterns using SQL and Python (Scikit-learn) to identify recurring issues, directly informing the product roadmap and reducing repeat tickets by 25%
Collaborated with cross-functional teams across 3 time zones using Agile/Scrum, delivering 12 critical platform releases on schedule
Stack: React.js, Node.js, PostgreSQL, Python, Pandas, NumPy, Scikit-learn, Power BI, REST APIs, Docker, Git, GitHub Actions, CI/CD, Claude AI, ChatGPT, GitHub Copilot, Agile/Scrum

Rumple

Lead Full-Stack Developer | Back-end Engineer

Oct 2020 – Oct 2022 · 2 yrs · United States · Remote

Led full-stack web architecture and engineering for Rumple, a digital platform serving 15,000+ users across web and mobile. Owned the entire development lifecycle from system design to production deployment, mentoring a team of 4 junior developers.
Key Contributions & Impact:
Architected scalable full-stack platform using React, Node.js, PHP, and PostgreSQL, handling 50K+ monthly active sessions with sub-200ms response times
Engineered core real-time data synchronization engine ensuring 99.7% consistency between web and mobile platforms, reducing sync errors by 85%
Built executive analytics dashboards using Power BI and Python (Pandas, NumPy) for tracking user engagement, platform performance, and business KPIs - enabling data-driven decisions that increased user retention by 30%
Designed and optimized database architecture with PostgreSQL and MongoDB for high-concurrency data operations, reducing query latency by 55%
Developed RESTful APIs and WebSocket integrations for real-time data streaming and push notifications serving 15K+ concurrent connections
Managed cloud infrastructure on AWS (EC2, S3, Lambda) with Docker containerization and CI/CD pipelines using GitHub Actions, achieving 99.5% uptime
Implemented AI-assisted development workflows using Claude AI and GitHub Copilot, accelerating feature delivery by 40%
Stack: React.js, Node.js, PHP, PostgreSQL, MongoDB, Python, Pandas, Power BI, AWS (EC2, S3, Lambda), Docker, REST APIs, WebSockets, Git, Claude AI, GitHub Copilot, Agile/Scrum

ReactNode.jsPHPPostgreSQLMongoDBPython+11

Uconnect technologies

Senior Software Engineer | AI Development & Agentic AI Integration

Sep 2015 – Dec 2025 · 10 yrs 3 mos · Hybrid

Led a team of engineers in end-to-end development of high-impact SaaS platforms across Healthcare, FinTech, Government, and B2B sectors, serving 50,000+ combined users. Specialized in AI-driven architecture, agentic AI workflows, data engineering, and full-stack development.
Key Projects & Impact:
UCMR (AI-Powered Medical Records): Built HIPAA-compliant EMR platform with AI-powered data extraction using RAG pipelines and LangChain. Implemented predictive analytics using Python (Pandas, NumPy, Scikit-learn) that identified at-risk patients 3x faster than manual review. Integrated role-based access control serving 200+ medical professionals.
Rupeeba (FinTech): Engineered ACID-compliant transaction engine processing $2M+ monthly with 100% financial data accuracy. Built fraud detection analytics using Power BI and Python. Reduced transaction processing time by 60%.
QuoHR (Enterprise HRMS): Optimized PostgreSQL query performance by 60% for enterprise datasets of 100K+ employee records. Built automated ETL pipelines and data visualization dashboards using Python and Power BI.
GilgitApp (AI-Enhanced Marketplace): Developed data-driven backend with real-time analytics, geolocation inventory tracking, and AI-powered recommendation engine using Node.js, MongoDB, and vector search.
AI & Agentic AI Integration:
Built autonomous AI agent workflows using LangChain, LangGraph, and Claude API for automated code review, documentation generation, and testing
Implemented RAG pipelines with Pinecone and ChromaDB for enterprise document search across 50K+ documents
Deployed AI-powered development tools (Claude AI, Cursor AI, GitHub Copilot) reducing code review time by 45%
Built ETL pipelines and analytics dashboards using Python (Pandas, NumPy), Power BI, and SQL for business intelligence
Stack: React/Next.js, Node.js, Python, FastAPI, TypeScript, PostgreSQL, MongoDB, Redis, AWS, Azure, Docker, Kubernetes, LangChain, ChromaDB, Power BI, Pandas, Claude AI, GitHub Copilot