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Senior Data Scientist with expertise in machine learning, natural language processing, information retrieval, and data engineering. Extensive experience in developing advanced algorithms and solutions across various industries. And, years of tutoring experience!
GitHub: https://github.com/waynel LinkedIn: https://www.linkedin.com/in/wwwayneliu/ Note: For the past 2 years, I've been heavily focused on AI Engineering and AI-augmented Software Engineering - building features that use large language models (data entry automation, retrieval augmented generation and text-to-SQL chatbots) and experimenting with AI tools to improve my engineering workflow. I've been working as a software engineer for 12+ years that has been mainly focused on web application development and some systems development, in NYC and Boston. Have had full-time roles at 4 startups and 1 corporation. I come from a strong computer science background, having graduated from Carnegie Mellon University. My experience lies both in computer science fundamentals and shipping projects end-to-end as a full stack generalist - frontend, backend, data, and SRE. Having worked at startups, I've learned to be versatile, doing some minor product and project management as well. In addition, I've launched 3 full stack side projects. With 5 years of experience mentoring other engineers, I've conducted 50+ technical interviews and have been interviewed 20+ times. I enjoy helping others - it's fulfilling to help others level up while also helping my own continuous learning! Some potential areas I can help with: - brushing up on computer science fundamentals - preparing for software engineering interviews (data structures and algorithms coding problems, system design, behavioral) - pair programming on a project, recommending best practices for frontend, backend, data, and SRE - code review - debugging - testing - resume review - career strategy consultation
I started out as a Structural Engineer, graduating from UNIBEN, finishing among the top 5 in my class, before taking a path that led me deep into the world of AI/ML Engineering. That transition wasn't linear, it was built on exposure, experimentation, failure, and a lot of learning along the way. Through it all, one thing has never changed: I'm most alive when I'm at the intersection of technology and real world problems. Growing it, evolving it, building it, scaling it. That obsession has shown up in the work, from building the first-ever AI-powered RFP at TalkDEI, to finishing in the top 5 globally at Hamoye, to consistently scoring 98/100 on technical assessments. I've also had the privilege of mentoring and teaching over 5,000 individuals across various skillsets.
**I’m an IT professional with 8 years of experience, currently specializing in AI, Machine Learning, and Python development.** My teaching philosophy is simple: understand where my students are starting from, then create a personalized roadmap to get them to their goal—whether it’s mastering Python basics or building real-world AI solutions. I started teaching informally to friends at a young age, and over the years, it became a passion. Today, alongside my role as an ML engineer, I have mentored over 100 professionals and students in Python, Data Science, and Machine Learning, including 4+ years as a part-time mentor for Great Learning. In my industry work, I’ve built and deployed solutions across Generative AI, Retrieval-Augmented Generation (RAG), computer vision, automation, and large-scale data engineering. My technical expertise spans Python, Unix Shell scripting, SQL, NoSQL, CI/CD pipelines, and frameworks like FastAPI and Flask. I’ve also developed hybrid automation solutions that integrate Python with Bash scripting for ETL, data migration, monitoring, and analytics. **What you can expect from me as a mentor:** * Clear, structured lessons—customized to your pace and background * Real-world coding practices from enterprise-grade projects * In-depth AI/ML concepts explained from scratch * Doubt-clearing sessions before every new topic * Practical examples connecting theory to implementation If you’re looking to build strong Python foundations, dive into AI/ML, or solve real-world automation problems, I’d love to guide you every step of the way.
Software Engineer with 7+ years of experience building scalable web and mobile apps. I specialize in bridging the gap between complex backend logic and seamless user experiences. Having built core customer journeys from scratch, I thrive in mission-driven environments where product engineering directly impacts user lives.
**I'm Karan — a Senior iOS Developer with 9+ years of experience building intuitive, scalable, and high-performance mobile applications across iOS and cross-platform ecosystems. I have successfully delivered 50+ applications across industries including healthcare, fintech, social networking, travel, education, staffing, and enterprise platforms.** **I specialize in Swift, SwiftUI, React Native, Flutter, Firebase, Supabase, OCR pipelines, real-time systems, and cloud-connected mobile architectures**, with strong experience delivering production-ready applications for both startups and enterprise clients. My expertise includes **end-to-end mobile product development**, **App Store deployment**, **REST API integrations**, **payment gateway systems, push notifications, analytics, AI-enabled workflows, and scalable backend-connected applications.** **iOS Development | Swift & SwiftUI Expert | React Native & Flutter | Mobile & Web Applications | Firebase & Supabase | OCR & AI Integrations | Real-Time Systems | App Store Deployment | 50+ Apps Delivered | 9+ Years of Experience**
Expert in Gen AI, LLM, Chatbots, Java, Go, Android, OS, Shell scripting, AWS, Spring Boot, JavaScript, TypeScript, NodeJS. I have worked with Java, built microservices using spring boot. I have experience in building services using NodeJs, typescript. I have developed chatbots using **LLM and retrieval augmented generations.** I am also a mentor, I like the process of mentoring, as both mentor and mentee learn in the process, through mentoring, I accelerate my learning because there is always something that you learn or re-learn during mentoring.
Hands-on Engineering Leader and AI Architect with 14+ years building engineering teams and shipping enterprise-grade systems across FinTech, HealthTech, PropTech, and Web3. Founder of [FlowiGantt](https://flowigantt.com) — an AI-powered planning platform with RAG and role-adaptive intelligence — and previously delivered AI SaaS products to enterprise customers via [Aakhya.ai](http://aakhya.ai/). Proven at making architecture decisions under resource constraints, leading teams of 20+ engineers, and achieving measurable outcomes: 70% cost optimizations, 75% reduction in development costs, and processing times cut from days to minutes.
I define the architecture. For 21 years, I've been the person CTOs and lead developers call when systems fail under load, migrations are at risk or AI integration needs to work right the first time. With expertise in .NET, Python, Blazor, ASP.NET Core, SQL and agentic AI architecture (LLMs, reasoning engines, Semantic Kernel, LangGraph, tool-calling agents), I design systems where performance, reliability, and intelligent automation aren't optional—they're the baseline. I deliver AI in production, not prototypes. I’ve architected and deployed AI-powered systems across financial platforms, education and exam automation, and real estate market intelligence, including enterprise-grade solutions for organizations such as The New York Times, Project Management Institute (PMI), Walmart, Merit Wealth, Namfus and BlueberryCMS. --- **Here's where I'm most useful to you:** - **The AI Integration Trap** — You've been asked to add AI to your existing .NET system but don't know whether to use *Semantic Kernel*, raw OpenAI APIs, or a Python sidecar. I've made that decision dozens of times. I'll make it faster and safer for you. - **The Blazor Bottleneck** — Your Blazor app is slow, state management is tangled, and you're unsure if you chose *Server or WASM* incorrectly. I can diagnose what went wrong and map a clean path forward — often in a single session. - **The Legacy Modernization Cliff** — You have a 10-year-old .NET system that needs AI or modern tooling but wasn't designed for it. I specialize in *incremental refactoring paths* that don't require a full rewrite and don't break what's already working. --- **What I Do Best:** - **Software Architecture & System Design** — scalable, maintainable systems from greenfield to enterprise - **AI Agent Development** — production-grade agents with Semantic Kernel, LangGraph & AutoGen — *not demos* - **Blazor & ASP.NET Core** — Server, WASM, hybrid — full-cycle development and performance tuning - **Python & AI Automation** — RAG pipelines, workflow automation, voice AI, LLM integrations, chatbots - **Legacy .NET Modernization** — refactoring strategy, migration paths, incremental upgrades - **Architecture Audits** — identifying structural risk before it becomes a production incident, not after - **Debugging Complex Systems** — when the stack trace doesn't tell the whole story **If any of this sounds like your current situation — DM me. I respond to every message.**
Technical cofounder, board member, and seasoned operator with experience building and growing early stage companies (pre-seed to late Series), large scale government and commercial projects, and nonprofits.
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