System.out.println("Hello World");

Building Intelligent &
Secure Systems

I'm Abhijeet S Pachpute, MS in Computer Science @ University of Utah (May 2026). I build production software, ship applied AI, and care obsessively about security and reliability.

Open for roles across US MS CS • May 2026 Open to SWE / AI / Security roles

/ About Me

I'm a computer science graduate student at the University of Utah, focused on building intelligent software that is secure, reliable, and production-ready. My background spans software engineering, machine learning, and security. It's shaped by both academic research and hands-on engineering.

I started my journey in India, where I worked on early research, patents, and engineering projects before moving to the U.S. to deepen my foundation in systems, algorithms, 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

What I'm studying and what I've shipped so far.

University of Utah

Master of Science in Computer Science

Aug 2024 – May 2026 • Salt Lake City, UT

GPA: 3.7/4.0

Relevant coursework

Graduate Algorithms (CS 6150)Operating Systems (CS 6460)Computer Architecture (CS 6810)Security & Privacy (CS 6495)Machine Learning Security (CS 6958)Deep Learning (CS 6353)Neuro-Symbolic Modeling (CS 6964, Special Topic)Manage Data with ML (CS 6964, Special Topic)

Savitribai Phule Pune University

Bachelor of Engineering in Computer Engineering

Jul 2019 – May 2023 • Pune, India

GPA: 8.7/10

Activities

  • Co-founder & Vice President of Meraki
  • Member, Research & Innovation Cell and ACE
  • Japanese language program (hobby)

Publications & Outreach

  • Published 3 Indian patents and 2 IEEE papers
  • Conducted cybersecurity awareness program at Pune Cyber Police Cell

/ Experience

Work across security, AI engineering, and backend systems.

Jun 2025 – Present

Salt Lake City, UT

IT Systems & Security Intern

University of Utah • VP for Research

Securing research infrastructure for a $650M+ annual research enterprise.

  • Engineered and automated endpoint management and security workflows using Python and enterprise tools (Microsoft Intune, Tanium, BeyondTrust), improving compliance by 60% across a $650M+ research infrastructure.
  • Built and optimized scalable device provisioning pipelines (OS imaging, configuration, full-disk encryption), onboarding 70+ endpoints with consistent, policy-compliant deployments.
  • Diagnosed and resolved system-level, identity, and network issues (Windows, macOS, TCP/IP, Active Directory, Entra ID), applying root-cause analysis to improve reliability and reduce recurring incidents.
  • Collaborated across IT and research teams to support distributed systems infrastructure, balancing security, performance, and usability in production environments.

May 2025 – Aug 2025

Remote, USA

AI Software Engineer (Summer'25 Intern)

AVI Human Services

Built applied GenAI tools used by state administrators.

  • Shipped a real-time AI SWOT analytics dashboard (React, Node.js, Gemini Flash 2.0, Docker, AWS) processing 50,000+ student records across 10 agencies, cutting analysis time 75%.
  • Designed a RAG prompt optimization framework for curriculum generation, improving relevance by 40%.
  • Built REST APIs with Redis caching and MySQL tuning to keep sub-200ms responses under concurrent workloads.

Jul 2023 – Feb 2024

Pune, India

Software Developer Intern

eWarranty Solutions

  • Built a QR code warranty verification system (Java, Spring Boot, REST), supporting 45,000+ products and reducing manual errors by 30%.
  • Implemented real-time analytics with async data retrieval (CompletableFuture) and MySQL-backed dashboards.
  • Improved performance via query + architecture tuning and HikariCP pooling, reducing response time 40%.

May 2022 – Jul 2023

Pune, India

Research Assistant

Research & Innovation Cell • RMD Sinhgad (Savitribai Phule Pune University)

  • Supported research methodology design through literature reviews and synthesis.
  • Trained students on statistical analysis, improving research accuracy by ~60% and contributing to publications and patents.
  • Helped with survey design, data collection, and analysis for peer-reviewed work.

Jan 2022 – Jul 2022

Pune, India

Cyber Security Analyst (Intern)

ShellStrong Technologies

  • Resolved 7 high-priority digital forensic cases with mitigations like MFA, encryption, and firewall rule hardening.
  • Ran vulnerability assessments using Nmap, Wireshark, and Metasploit, reducing issues by 30% and improving compliance.
  • Implemented ISO 27001-aligned InfoSec protocols to reduce risk and improve operational discipline.

/ Featured Projects

Code that solves real problems.

View all on GitHub

ClipSync

A secure, serverless real-time clipboard manager. Syncs clipboard content, files, and links across devices instantly using Next.js, Supabase, and PostgreSQL with Row Level Security (RLS).

Next.jsTypeScriptSupabasePostgreSQLVercel
Multi-Agent Data Wrangler screenshot
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Multi-Agent Data Wrangler

An auditable, configurable, and composable data transformation system modeled as a graph problem. Features distinct agents for profiling, candidate generation, validation, scoring, and ranking, with robust failure recovery.

PythonStreamlitPydanticData Engineering

Dinodash

Fast-paced, action-packed dinosaur survival game where players dodge obstacles, collect power-ups, and unlock achievements. Built with C++ and Raylib featuring immersive gameplay and pixel-art visuals.

C++RaylibWebAssemblySystems ArchitectureRuntime Portability

Good Bowls

Full-stack salad bowl restaurant app with React, Node.js, MongoDB, and Stripe payments. Features menu browsing, custom bowl builder, cart management, secure checkout, user authentication, and admin dashboard.

ReactNode.jsMongoDBStripeRedux

Custom Unix Shell

A minimal Unix-like shell implementation supporting command execution, piping, I/O redirections (>, <, >>), background execution (&), logical operators (&&, ||), and command history (!n). Built in C for CS5460/6460 Operating Systems.

COperating SystemsShell

AI Prompt + RAG Toolkit

Built a data analytics dashboard with natural language query capabilities using lightweight RAG. Combines client-side CSV processing with Gemini API for actionable insights on complex datasets.

RAGGemini APIAnalytics

/ Intellectual Property & Research

Honors & Awards

Proof that I can finish what I start.

Best Innovator & Best Cybersecurity Expert
Department of Computer Engineering, RMDSSOE
Smart India Hackathon 2022 Finalist
SIH1019
First Runner Up
Innovation Thinking & Ideation Competition
Cybersecurity Awareness Program
Pune Cyber Police Cell

/ Technical Arsenal

Programming

  • Java
  • Python
  • C++
  • Kotlin
  • JavaScript / TypeScript
  • HTML / CSS / SCSS / Tailwind

Backend / Cloud

  • AWS (EC2/S3/Lambda)
  • Docker / Kubernetes
  • CI/CD (GitHub Actions)
  • Spring Boot
  • Node.js / Express.js
  • MySQL / MongoDB / PostgreSQL

AI / ML

  • PyTorch / TensorFlow
  • OpenCV / CNNs
  • RAG
  • Scikit-Learn
  • Vector embeddings

Enterprise Security

  • Digital forensics
  • Wireshark / Nmap
  • ISO 27001
  • Vulnerability assessment
  • Privilege management

Let's build something that works at scale.

If it touches production, reliability, or security… I'm interested.

Location

United States

Send me a message

I usually respond within 24 hours.

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