$user.identify

ADAMYA SINGH

> AI Engineer

ABOUT ME

$ I'm a Computer Science and Data Science student at Rutgers University with a passion for full-stack development and artificial intelligence. I'm driven by a love for problem solving and am always eager to learn new technologies.

$ Currently, I'm a Software Engineering Intern at Aviro (YC-backed), building full-stack tools for enterprise AI agents. I'm also conducting Computer Vision research at Rutgers, investigating VLM failures in negation comprehension using medical imaging datasets.

$ Previously, I was a Fusen Fellow at Fusen World, an accelerator for startups. I worked on rebootED (backed by Google Cloud for Startups), where I built an enterprise LMS from scratch. I'm also a Tech Team Lead at USACS, an Eagle Scout, and a Verizon Smart Campus Challenge 2025 Winner.

TECH STACK

>Python
>TypeScript
>Next.js
>FastAPI
>Java
>Spring Boot
>PyTorch
>PostgreSQL

SKILLSET

FRONTEND

Building responsive and interactive web applications

ReactNext.jsTypeScriptJavaScriptHTML/CSS

BACKEND

Building robust server-side applications and APIs

FastAPISpring BootNode.jsPostgreSQLSupabaseMongoDB

LANGUAGES

Core programming languages and scripting

PythonJavaC/C++SQLRBash

AI / ML

Machine learning and AI development

PyTorchHuggingFaceDSPyRAGNLPComp Vision

PROJECTS

RU-Networking Demo
01

RU-NETWORKING

AI Course Planning Assistant

Full-stack AI-powered course planning assistant using RAG, engineering function-calling workflows, tool orchestration, and Server-Sent Events for real-time, production-scale chat recommendations. Reverse-engineered undocumented endpoints and developed a highly parallelized Python scraper to extract a 1M+ line dataset.

Next.jsGPT-4oAssistant APIRAGPineconeDBSSE
🧠
LLaMA 3 8B Fine-Tuned
Behavioral AI Coach
02

ATOMICCOACH

LLaMA 3 Fine-Tuning

Built a scalable AI-powered behavioral coach by fine-tuning Meta's LLaMA 3 8B on Atomic Habits, enabling high-quality, personalized habit formation guidance. Created a 2,300+ Q&A dataset and fine-tuned using LoRA and QLoRA, reducing memory requirements by 60%+ — making training viable on consumer hardware.

LLaMA 3 8BLoRAQLoRAHuggingFacePyTorch
LevelUp Demo
03

LEVELUP

A modern, full-stack task management application built with React, TypeScript, and Spring Boot. This project demonstrates professional-grade web development practices, including type safety, optimistic UI updates, and responsive design. Features include task creation, real-time performance metrics, and error handling.

ReactSpring Boot 3MongoDBSupabaseRESTful API
04

AI WEB SCRAPER

An intelligent web scraping agent for dynamic extraction and LLM-driven interpretation of user-specified web content. Built with Selenium, BeautifulSoup, and LangChain to efficiently process and analyze complex web data.

PythonSeleniumBeautifulSoupLangChainLLM

EXPERIENCE

SOFTWARE ENGINEERING INTERN

YC-BACKED
AviroRemoteNov 2025 - Present
  • Contributing to a full-stack document-to-HTML platform (Next.js 15, TypeScript, FastAPI, Supabase) that prepares enterprise documents for long-horizon AI agents
  • Extending backend services in FastAPI for document ingestion, replication, and sync/progress tracking with clean APIs between vision/LLM calls and storage
  • Building advanced TypeScript/Next.js UX for multi-page document editing, placeholder/image workflows, and prompt-history/analytics views

SOFTWARE ENGINEER

FUSEN FELLOW
rebootEDAtlanta, GAMay 2025 - Aug 2025
Backed by:Fusen World Accelerator•Google Cloud for Startups
  • Engineered an enterprise LMS end-to-end: Spring Boot + PostgreSQL services with JWT auth and REST APIs, Next.js + TypeScript frontend with role-based dashboards
  • Implemented AI-driven course generation pipelines reducing content creation time by ~80% while preserving quality across enterprise training programs
  • Partnered with 15+ enterprise tech orgs to validate requirements and ship production-ready specs for large-scale deployments (10K+ learners)

UNDERGRADUATE RESEARCH ASSISTANT

COMPUTER VISION
Rutgers University, CS DepartmentJan 2025 - Present
  • Investigating vision-language model (VLM) failures in negation comprehension using 225K+ multimodal medical images from the CheXpert dataset
  • Benchmarked 3+ GenAI VLMs (CLIP, BioMedCLIP) on negation-sensitive tasks using PyTorch; developed domain-specific evaluation tools

SENIOR CODING INSTRUCTOR

Code NinjasCanton, MAJan 2022 - Jul 2024

STEM INSTRUCTOR

Empow StudiosBoston, MA2019 - 2022

EDUCATION

RUTGERS UNIVERSITY

GPA: 3.6May 2027

B.S. in Computer Science & Data Science

COURSEWORK

Artificial IntelligenceMachine LearningDeep LearningAlgorithmsData StructuresDiscrete MathComputer Architecture

LEADERSHIP & CLUBS

USACS — Tech Team Lead & Executive Board Member

STAR — Space Technology Association at Rutgers

ACHIEVEMENTS

Verizon Smart Campus Challenge Winner 2025Dean's ListEagle Scout

RESUME

CONTACT

> I'm currently open to new opportunities and collaborations.
> Feel free to reach out for projects, questions, or just to connect.