Hi! I'm Avikar Khakh

I'm a tech-driven problem solver with a passion for building impactful software, delivering real business value, and turning ideas into tools that serve real user needs.

View Projects Resume

About Me

I'm a Computer Science and Economics senior at Wake Forest University with experience building AI-powered, cloud-based applications and leading technical teams. I have a strong background in software engineering, machine learning, and translating technical solutions into real business impact.

I design and implement end-to-end projects including data pipelines, backend services, interactive frontends, and simulation engines. I am driven by solving complex real-world problems with clean systems thinking and practical execution.

Technical Skills

Languages

JavaPythonCJavaScript

Frameworks & Libraries

Spring BootAngularReactTailwind CSS

Cloud Platforms

Microsoft AzureAzure OpenAICosmos DB

Data & Tools

SQLR / RStudioApache KafkaMaven

Integration & Collaboration

GitGitHubREST APIs

Work Experience

NYC Administration for Children's Services (ACS)

Summer 2025

Software Development Intern · New York, NY

Designed and implemented an AI-powered internal knowledge search system by integrating Azure OpenAI into backend APIs, enabling secure RAG across agency documents
Enhanced Angular frontend components to improve UI responsiveness by 30% and reduce average page load times by 1.2s for 200+ internal staff
Translated employee feedback into user-facing feature enhancements, reducing navigation errors by 15% and improving caseworker task completion speed
Optimized backend API endpoints, reducing query response times by 15% and improving scalability

JPMorgan Chase & Co.

Spring 2025

Software Engineering (Forage) · Remote

Strengthened backend reliability in a Spring Boot microservices architecture by completing a multi-stage enterprise banking simulation aligned with production workflows
Eliminated transaction processing errors by integrating Apache Kafka to stream and deserialize 500+ mock financial transactions in real time
Reduced transaction latency by 25% by restructuring service logic and optimizing Kafka consumer modules

Projects

XRP Robotics

Python · Sensor Integration · Control Systems

Led the design and deployment of autonomous robotic systems using Python, implementing sensor-driven navigation and obstacle detection. Improved accuracy by 30% through iterative testing and tuning.

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NHL Team Points Prediction

Python · scikit-learn · Random Forest

Built an end-to-end machine learning pipeline using Python and Random Forest regression to forecast NHL team point totals, translating advanced performance data into actionable insights.

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Investment Strategy Simulator

Python · Backtesting · Data Analysis

Developed a backtesting simulator that lets users compare portfolio strategies over historical market data with configurable assumptions and clear performance narratives.

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NBA Statistical Query Engine

React · FastAPI · Llama 3.3 70B · SQLite

Built a natural language-to-SQL web app that lets users query 9 seasons of NBA data through plain English, returning interactive tables and auto-generated visualizations powered by Llama 3.3 70B via Groq.

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