Avikar Khakh
Developer experienced in full-stack development, AI-powered systems, and native mobile. Translating business needs into products that deliver real impact.
About
I'm a Computer Science and Economics senior at Wake Forest University experienced in full-stack development, AI-powered systems, and native mobile. I leverage agentic AI to accelerate development and translate business needs into working products.
I design and implement end-to-end projects including iOS apps, recommendation engines, backend services, interactive frontends, and simulation engines. Driven by solving real-world problems with clean systems thinking.
Languages
Frameworks & Tools
AI / ML
Experience
Steward
2025 – PresentSoftware Engineer · Winston-Salem, NC
- Sole engineer for a WFU StartUp Lab-backed fintech startup (1 of 9 selected), building a full-stack iOS app that recommends the optimal credit card at every merchant using real-time location
- Developed a recommendation engine scoring cards across 6 reward dimensions with fuzzy merchant name matching for accurate category detection
- Engineered automated scrapers for 8 major card issuers that refresh offer data daily, plus a three-layer merchant cache that reduced Google Places API calls by 90%
NYC Administration for Children’s Services
Summer 2025Software Development Intern · New York, NY
- Designed and deployed an AI-powered knowledge search system using Azure OpenAI and RAG across agency documents for 200+ staff
- Enhanced Angular frontend components and optimized backend API endpoints, improving UI responsiveness by 30%, reducing page load times by 1.2s
- Gathered requirements from non-technical stakeholders, translated business needs into code, and shipped enhancements that reduced query response times by 15%
Projects
Portfolio Strategy Simulator
Python · FastAPI · React · cvxpy
Full-stack portfolio optimization tool with configurable constraints for volatility, turnover, and tracking error. Features a backtesting engine with automatic constraint relaxation and an interactive React dashboard.
NBA Statistical Query Engine
React · FastAPI · Llama 3.3 70B · SQLite
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.
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.
NHL Team Points Prediction
Python · scikit-learn · Random Forest
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.
Leadership
Wake Forest University Robotics Organization
Fall 2024 – PresentPresident · Winston-Salem, NC
- Scaled the organization from 3 to 20+ active members through hands-on project-based learning and robotics competitions, and grew funding from $300 to $1,100 by presenting to faculty and the student budgeting office
- Partnered with the CS department to establish a 1.5-credit robotics course built on the club's curriculum and competition work
Education
Wake Forest University
May 2026B.S. Computer Science, Minor in Economics
Relevant Coursework: Data Structures & Algorithms, Machine Learning, Software Engineering, Computer Vision
Languages: English (fluent), Spanish (conversational), Punjabi (conversational)