Hi, I'm Ankur
Senior CS student at Howard University, passionate about AI and always excited to learn, explore, and take on new challenges in technology.
.png)
Featured Highlights
Here are some awards, articles, documents, certificates, and achievements I am proud of.
Developed Bison Connect, an AI-driven platform to assist prospective Howard University students by providing personalized and swift responses to their queries. Integrated technologies like web scraping, Azure Cognitive Search, and OpenAI's GPT to deliver accurate and engaging information.
Learn More
Contributed as a member of the planning and organization team for the Civic Tech Hackathon. Involved in various aspects including logistics coordination, venue setup, and sponsor collaboration.
Facilitated event operations and actively engaged in key discussions, advocating for the advancement of Public Interest Technology (PIT) within university clubs and organizations.
Gained hands-on experience in solar flare research, mentored by Dr. Aleida K. Higginson. Explored OpenSpace software for universe visualization and observed the development of the Nancy Grace Roman Space Telescope.
Skills & Technologies
A comprehensive toolkit of modern technologies and programming languages that I use to bring ideas to life.
Programming Languages
Web Development
Mobile Development
AI & Machine Learning
Database & Backend
DevOps & Tools
Projects & Creations
A showcase of my internships, hackathon wins, and personal projects across AI, systems, and web.
FeaturedDell System Performance Analysis Tool
Engineered a Python automation pipeline to correlate CPU usage across PowerStore builds, reducing multi-hour manual log reviews to 30 seconds. Architected N-ary task trees for granular insights and built a JS dashboard for real-time diff visualization, boosting anomaly detection by 90%.
FeaturedFitTrack: AI-Powered Fitness Mobile App
Cross-platform React Native fitness app with Supabase backend. Integrated AI coach (Gemini API), voice logging, and progress charts with streak reminders. Implemented Clerk authentication and real-time sync across devices.
Application Tracker
Flask-based web app with Gmail OAuth2 + spaCy NLP to auto-track job applications. Reduced manual tracking by 40% with regex + ML classification and LLM fallback. Implemented secure token storage, de-duplication, and real-time Firestore sync.
BisonBytes (Hackathon Finalist)
University admissions chatbot using Azure Cognitive Search + OpenAI API. Applied Retrieval-Augmented Generation (RAG) for accurate campus info in <5s, enhancing accessibility. Placed 2nd Overall, 3rd AI/ML track.
TradeSim: Real-Time Crypto Trading Simulator
Chrome Extension for crypto trading simulation with interactive buy/sell, profit/loss tracking, backtesting, and exportable trade history.
Facial Recognition Attendance Tool
Flask + OpenCV-based system for automated attendance. Reduced false positives by 30% using CLAHE optimization and parallel processing.
My Journey
A chronological timeline of my professional growth, projects, and achievements
- Developed a Python-based analysis framework to extract, correlate, and compare CPU usage from perf report and ps logs, automating a multi-hour manual process into a 30-second repeatable pipeline.
- Constructed N-ary task trees to attribute CPU usage per subtree and identify regressions across PowerStore builds.
- Created a JavaScript-based dashboard to visualize diffs and speed up anomaly detection by 90%.
- Built a cross-platform React Native (Expo) app with Supabase backend and Clerk authentication.
- Integrated AI coach (Gemini API), progress charts, and streak reminders to increase engagement.
- Implemented voice input & file upload for hands-free gym tracking with real-time multi-device sync.
- Built a full-stack React/TypeScript frontend with Python Firebase Functions backend for real-time scholarship matching.
- Achieved sub-5-second query times via optimized Firestore queries.
- Engaged 50+ users during hackathon demo sessions, receiving 90%+ positive feedback on essay assistance and deadline tracking features.
- Formulated a Python command-line tool automating diagnostic log analysis, reducing manual work by 50%.
- Optimized tool efficiency and reliability by 25% through collaboration with engineering and product teams.
- Developed an admissions chatbot using Azure Cognitive Search and OpenAI API to provide real-time university information.
- Implemented Retrieval-Augmented Generation, enabling info access within 5 seconds, improving user experience over traditional navigation.
- Built a Python-based system using Flask & OpenCV for automated attendance.
- Optimized accuracy with parallel processing techniques.
- Integrated BioFlux microfluidic data with COMSOL in MATLAB, improving biofilm model accuracy by 30%.
- Leveraged Polynomial Regression to model shear stress–adhesion dynamics, achieving R² = 0.87.
- Mentored hands-on workshops and guided 100+ students in 3D modeling using Tinkercad and Python.
- Conceptualized AR/VR course materials via CoSpaces.io, increasing student engagement by 25%.
- Developed a Flask app with Gmail API for job tracking, improving parsing accuracy using NLP.
- Applied pandas for structured data processing and Firebase Firestore for real-time sync, enhancing parsing accuracy by 30%.
- Currently pursuing undergraduate studies with a GPA of 3.97/4.0.
- Expected Graduation: May 2026
- Coursework includes Database Systems, NLP, Software Engineering, Operating Systems, Algorithms, Cloud Computing, and more.
- Received Dean's List, Google Capacity Scholar, DOW SURE Scholar, and HU Founders Scholarship.
Let's Create Something Amazing
Ready to bring your ideas to life? Let's discuss your next project and explore how we can work together.
Send a Message
gyawaliankur2 [at] gmail.com
Phone
Click to reveal
Location
Washington, DC