Aryaman Nasare

Software Engineer building
reliable systems that scale

I'm Aryaman Nasare — CS Grad @ UIUC (GPA 3.96/4.00). I build backend services, automation, and applied AI features with an emphasis on reliability, performance, and clean engineering.

Backend & APIs Automation / CI AI + RAG
Open for roles across US
View My Work Contact

About Me

Who I am and what I do.

I'm a computer science graduate student at the University of Illinois Urbana-Champaign, focused on building intelligent software that is reliable, scalable, and production-ready. My background spans software engineering, automation, data systems, and AI.

I started my journey in India, where I worked on engineering projects and gained hands-on experience in cloud systems and automation before moving to the U.S. to deepen my foundation in algorithms, systems, and applied AI.

I'm currently seeking software engineering roles where I can work on meaningful systems, learn from strong engineers, and ship work that matters at scale.

Education

Academic background and coursework highlights.

University of Illinois Urbana-Champaign

Aug 2024 – Dec 2025
Master of Science in Computer Science
Champaign, Illinois
  • Grade: 3.96 / 4.00
  • Highlights: CS 409 (A+), CS 568 (A+), CS 411 (A+)

Savitribai Phule Pune University

Aug 2019 – May 2023
Bachelor of Computer Engineering (Honors in Data Science)
Pune, India
  • Grade: 8.74 / 10.00 — Honors in Data Science
  • Highlights: Technical Lead, Meraki Club • Research & Innovation Cell

Experience

Work across automation, data systems, and backend engineering.

May 2025 – Dec 2025
Champaign, Illinois

Graduate Teaching Assistant – Database Systems & Foundations of Data Curation

University of Illinois Urbana-Champaign
  • Developed data systems assignments covering SQL schema design and indexing, NoSQL/graph systems (MongoDB, Neo4j), and Docker-based data curation workflows for 550+ students across two graduate courses.
  • Engineered a Bash automation script using the GitHub REST API to parse user CSVs and batch-provision organization access, saving 15+ hours of manual onboarding effort.
May 2025 – Aug 2025
Remote (Miami, Florida)

Software Engineer Intern

RIA Advisory
  • Built 60+ end-to-end automation flows with Selenium to validate a SaaS test automation platform, using dynamic waits and strict assertions to reduce flakiness and expand regression coverage.
  • Engineered a LangChain RAG pipeline indexing 200+ pages of internal technical guides into a FAISS vector store, enabling 20+ interns to self-resolve environment issues and reducing troubleshooting time by 33%.
Jan 2025 – May 2025
Champaign, Illinois

Graduate Course Assistant – Internet of Things

University of Illinois Urbana-Champaign
  • Supported course delivery through office hours and student Q&A, helping debug assignments and clarify core concepts.
  • Assisted with grading and feedback to improve student iteration speed and consistency.
Jan 2024 – Jul 2024
Navi Mumbai, India

Software Engineer

Reliance Jio Platforms Ltd.
  • Orchestrated regression strategies for the JioPartnerWorld application (1M+ users), validating cloud-hosted microservices via Jenkins CI/CD pipelines and Jira-tracked end-to-end scenarios, reducing production defect leakage by 15%.
  • Built a Selenium automation suite executed via AWS CodeBuild with parallelized cloud execution to cut test execution time by ~90% (saving 6+ minutes per cycle).
  • Led root cause analysis across distributed systems by analyzing AWS CloudWatch logs and SAP IDoc failures, improving MTTR by 40% through cross-team collaboration.

Featured Projects

Code that solves real problems.

InsightHub Project
Full-Stack

InsightHub

AI-powered team collaboration with secure docs + RAG chat/search.

Designed and built a full-stack, multi-tenant platform for secure document management, team activity notifications, and AI-assisted chat. Implemented JWT auth with centralized Express middleware for team-membership/creator authorization, plus CORS allowlisting for strict tenant isolation. Added an embeddings + vector similarity RAG pipeline over uploaded documents for context-aware answers inside private workspaces.

  • JWT
  • Express
  • RAG
  • Vector search
  • Node.js
  • MongoDB
View Code
GhibliDream Project
Deep Learning

GhibliDream

Few-shot image generation via DreamBooth fine-tuning (Stable Diffusion 2.0).

Built an end-to-end few-shot fine-tuning pipeline enabling Studio-Ghibli-style generation from only 5–7 image–text pairs; containerized with Docker for reproducible reruns. Automated LLM-assisted caption rewriting across an 800+ image dataset and used a two-token identifier strategy to improve subject/background disentanglement, reaching 0.914 foreground CLIP similarity.

  • Stable Diffusion
  • DreamBooth
  • Docker
  • CLIP
  • PyTorch
View Code
US Census AI Analyst Project
Data + AI

US Census AI Analyst

Conversational data analytics agent (Text-to-SQL + guardrails) on Snowflake.

Engineered a Text-to-SQL agent for the SafeGraph US Census dataset (220k+ block groups), enabling non-technical users to query 7,000+ demographic attributes via natural language by implementing a validated semantic layer. Architected a dual-LLM orchestration pipeline with Llama 3.1-8b to enforce zero-shot security guardrails (blocking prompt injections) and synthesize results into conversational insights, achieving 90%+ query accuracy and <20s latency.

  • SQL
  • Python
  • Snowflake
  • Text-to-SQL
  • Guardrails
View Code
SWE-Agent Project
AI Agents

SWE-Agent

Autonomous code repair system using tool-driven LLM workflows.

Extended the Mini-SWE-Agent framework to resolve GitHub issues by building 10 structured tools (regex search/replace, linter, memory search) for code navigation and patching via a tool-call protocol. Achieved a 70% resolution rate (28/40) on SWE-bench Verified (Django, Matplotlib), improving 2.3× over baseline (12/40) with iterative validation inside a Docker sandbox.

  • LLM Tooling
  • Benchmarks
  • Docker
  • Automation
  • Python
View Code
View all on GitHub

Technical Arsenal

Technologies and tools I work with.

Programming

Python Java JavaScript TypeScript C++ Bash SQL

Backend / Cloud

AWS Docker Kubernetes Node.js Spring Boot MongoDB MySQL CI/CD

AI / ML

PyTorch TensorFlow LangChain RAG FAISS Stable Diffusion OpenCV

Automation & Testing

Selenium Pytest GitHub API Bash Test Frameworks

Let's build something that works at scale

Want to collaborate, chat about a role, or discuss a project? Reach out to me here.

Email

Location

United States

LinkedIn

aryaman-nasare

GitHub

aryabro