Shiven Ajwaliya Profile Photo

Hey, I'm Shiven Ajwaliya, a CS student at Northeastern University who is passionate about building meaningful tech products. Here, you can check out what I'm working on.

My Education

My academic background and qualifications

Bachelor's in Computer Science

Concentration in Artificial Intelligence

Northeastern University Sept 2024 - Dec 2027
Study Abroad: Data & Software in Int'l Gov't & Politics, Belgium May 2025 - June 2025

Currently pursuing my degree with a focus on software engineering, data structures, algorithms, and web development. Actively participating in hackathons and coding competitions while maintaining academic excellence.

Computer Science Artificial Intelligence Data Structures Algorithms

My Skills

Technologies and tools I work with

Frontend Development

HTML
CSS
JavaScript
React
Streamlit Basic
Vitest Basic

Backend Development

Node.js Intermediate
Express.js Advanced
MongoDB Basic
PostgreSQL Intermediate
Python Advanced
Flask Intermediate
TypeScript Advanced
SQL Intermediate
Java Intermediate
C Basic

Tools & Others

Git Advanced
Docker Basic
ESLint Basic
Prettier Basic
Postman Advanced

My Experience

My professional journey and career progression

CS2000 Teaching Assistant

Khoury College of Computer Sciences August 2025 - Present
  • Led weekly labs for 30+ students within a 600+ student foundational CS course, delivering lessons on recursion, data structures, and function design in Python while fostering a collaborative learning environment
  • Provided individualized office-hour support, reinforcing best practices in programming and software development
  • Evaluated 300+ assignments to ensure accuracy, efficiency, and alignment with course design principles
Python Pyret

Software Developer

Quak Travel LLC April 2025 - Present
  • Built a trip recommendation system using OpenAI embeddings, Pinecone vector search, and Prisma/PostgreSQL, powering personalized 3–28 day itineraries from a dataset of 2,000+ TikTok-sourced trips
  • Developed a scalable backend that integrated venue data from Google Places and OpenWeather and added infrastructure for reliability and scale (caching, logging, monitoring), forming the basis of the product demo that helped secure $30K in seed investment
TypeScript ExpressJS NodeJS Vector Embeddings PostgreSQL Prisma Docker

Prototype and GenAI Research Intern

InnoEra Jul 2023 - Aug 2023
  • Collaborated on website prototype enhancements and contributed to the overhaul of InnoEra (innoera.com) delivering custom solutions for finance, banking, insurance, and local living experiences
  • Researched 5 emerging GenAI tools across NLP and recommendation systems to explore applications in answering user queries and guiding customers to products, shaping the company’s early AI integration strategy
UI/UX Design Research AI Canva

Projects

Some of my favorite projects I've worked on

Screenshot of Rainfall Learning project

Rainfall Learning

  • Lead a 3-person engineering team to develop a tutoring platform for middle and high school students, while managing pull requests across 16+ contributors to ensure quality and consistency
  • Built core session services for bookings, cancellations, rescheduling, and integrated Google Calendar sync with recurring appointments to support hundreds of tutoring sessions with real-time updates
TypeScript ExpressJS NodeJS PostgreSQL Prisma React Docker
Screenshot of Quak project

Quak AI Systems

  • Built a day-level trip recommendation system using OpenAI embeddings, Pinecone vector search, and Prisma/PostgreSQL to match user goals, budgets, and activity preferences
  • Engineered dynamic itinerary assembly logic that composes 3-28 day trips with lodging, flight injection, and budget enforcement across 1000+ sourced itinerary blocks
  • Delivered an intuitive editing experience for travel itineraries, with personalized day suggestions, explorable alternatives, and reversible changes via undo history
AI TypeScript ExpressJS NodeJS Vector Embeddings PostgreSQL Prisma Docker

Care Compass

  • Assisted in developing a personalized country recommender using cosine similarity on healthcare priorities, tailored to relocating residents
  • Contributed to building time-series regression to forecast health indicator trends from World Health Organization (WHO) data, supporting use cases like academic research and policy planning
  • Designed a global SQL data model integrating 7+ public datasets, with support for country comparisons, user preferences, and predictive scores
ML Python Flask MySQL Streamlit Docker

CoDesign

  • Built a Flask-based platform enabling developers and designers to create profiles and discover recommended collaborators based on matching skills, interests, experience, and availability
  • Implemented secure user authentication using JWT and designed RESTful APIs to support profile management, post creation, and real-time collaboration features, ensuring seamless user interactions across the platform
Python Flask MongoDB React

RoadQuest (Hackathon Project)

  • Developed a full-stack web application that gamifies road trips by generating dynamic quests between user-inputted locations, leveraging Google Maps API and OpenAI's GPT-based prompt engineering
  • Engineered the backend with Flask, MongoDB, and MongoEngine to support account creation, secure authentication (Bcrypt), and XP-based quest progress tracking with real-time leaderboard updates
Python Flask MongoDB React OpenAI API

Diabetes Prediction Using ML & Python

  • Built a predictive model to assess diabetes risk using algorithms like Random Forest and Gradient Boosting, utilizing Python for data preprocessing, feature engineering, and evaluation with metrics like ROC-AUC and accuracy
ML Python Scikit-learn Pandas Jupyter Notebook

Get In Touch

I'm always open to discussing new opportunities and interesting projects