Hi! I'm Avikar Khakh
I'm a tech-driven problem solver with a passion for building impactful software, exploring the future of fintech, and turning ideas into practical tools.
ProjectsIntroduction
About Me
I’m a senior studying Computer Science and Economics at Wake Forest University focused on building intelligent and scalable software systems. My work sits at the intersection of machine learning, finance, cloud engineering, and automation. I design and implement end to end projects including data pipelines, backend services, interactive frontends, and simulation engines. I actively integrate AI copilots such as GPT and Claude into my workflow to accelerate prototyping, strengthen architecture decisions, and continuously sharpen my engineering judgment. I am driven by solving complex real world problems with clean systems thinking and practical execution.
My Skills
What am I up to now?
- Deepening expertise in cloud engineering, full-stack development, and data science through production-style projects and applied virtual internships
- Building AI-driven tools and simulations that blend machine learning, finance, and automation—translating technical concepts into working, deployable systems
- Leveraging AI copilots such as Claude and GPT as part of my development workflow to accelerate prototyping, improve code quality, and continuously refine my understanding of modern software systems
Work Experiences
NYC ACS Software Development Intern
Interned with NYC Administration for Children’s Services (ACS) on their Office of Information Technology team
- Built and optimized an internal chatbot platform by integrating Azure OpenAI into a Spring Boot backend with retrieval-augmented generation (RAG).
- Enhanced Angular frontend components to boost responsiveness and cut load times by 1.2s.
- Designed and tested UX-driven features that reduced navigation errors by 15%.
- Blended full-stack development, LLM integration, and performance optimization to improve workflows for 200+ internal staff.
JP Morgan Software Engineering Micro-Internship
Completed a Virtual Micro-Internship with JP Morgan Chase & Co., simulating a software engineering role
- Completed a virtual micro-internship simulating a software engineering role
- Set up a Spring Boot backend and integrated Apache Kafka for streaming transactions
- Debugged asynchronous data flow to ensure reliable event processing
- Hands-on dive into enterprise software engineering, scalable systems, and modern fintech infrastructure
Personal Projects
XRP Autonomous Robot
Engineered an autonomous XRP robot in Python with sensor integration and a line-following control loop. As President of the Robotics Club, I led technical decisions, coordinated build/testing, and mentored newer members through wiring, calibration, and debugging. The result is a small “brains-on-wheels” system that makes real-time decisions from sensor input and reliably navigates a course.
NHL Machine Learning Forecast Engine
Built an end-to-end machine learning pipeline to forecast NHL team performance and generate projected standings. Aggregated and cleaned team metrics, engineered features from advanced stats, trained regression models, and evaluated performance with standard metrics. Designed the project to support season simulations and future deployment to a web dashboard.
Investment Strategy Simulator
Developed a backtesting simulator that lets users compare portfolio strategies over historical market data. Users can input tickers, configure assumptions (starting capital, rebalancing, allocations), and run simulations that output performance and a clear narrative of what happened. Built with a clean separation between data ingestion, strategy logic, and results so it’s easy to extend to a frontend UI.