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Software Engineer · May 2027 New Grad

I build useful systems for real workflows.

I'm Adhik, a Computer Science senior at ULM with professional software engineering experience across backend, full-stack, and applied AI. My work turns scattered processes into reliable software with measurable results.

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Portrait of Adhik Adhikari
Adhik AdhikariMonroe, Louisiana

Professional experience

Software used in daily work.

Systems matter when the result is easier to operate, measure, and trust.

Epic Can

Software Engineer Intern

June 2025 – August 2025
Shreveport, Louisiana

From scattered spreadsheets to one internal system.

Built and deployed an internal inventory and production platform that replaced spreadsheet-heavy workflows with one centralized system. Designed REST APIs and relational data models for inventory and production workflows, automated reporting and data entry, and implemented role-based access across three user groups.

100+
SKUs centralized
15
internal users
3 min → <30 sec
inventory lookup
~60%
less reporting time

React · TypeScript · Node.js · Express · PostgreSQL · Docker · AWS

University of Louisiana at Monroe

IT Support Technician

May 2026 – Present
Monroe, Louisiana

Automation in support

Built a PowerShell utility that automates system and network data collection, reducing initial troubleshooting time by approximately 25% for recurring issues.

Support faculty, staff, and students across Windows and macOS while resolving 40+ hardware, software, account, and network requests per week.

Selected work

Evidence over claims.

Four systems, framed around the problem, the build, and the evidence.

01 / Featured

Provenance Guard

AI Content Attribution Pipeline

A backend pipeline that combines LLM classification with stylometric analysis to make confidence-scored attribution decisions.

Three transparent outcomes, an appeal path, and 50+ automated tests across classification and failure cases.

  • Python
  • Flask
  • Groq API
  • Pytest
Read case studyLive appGitHub
Provenance Guard interface with text analysis, attribution analytics, and recent submissions
The working Provenance Guard interface, captured from the public project.
Completed flow from community reports through risk scoring and OSRM routing to interactive Expo map overlays.

02 / Mobile system

SafeRoute

Mobile Crime-Risk Reporting and Analysis

Built a cross-platform mobile application that compares direct and risk-avoiding routes, using distance, severity, and time-decay scoring to guide users around community-reported crime zones.

Engineered Django REST APIs and OSRM-based route optimization, with unit and integration tests validating routing behavior.

  • React Native
  • Expo
  • TypeScript
  • Python
  • Django REST Framework
  • OSRM
  • Gemini API
Read case studyGitHub

03 / Case study

The Unofficial Guide

Grounded Retrieval-Augmented Assistant

A retrieval pipeline that answers questions from a bounded source collection and shows where its evidence came from.

Eleven documents become 35 attributed chunks with 384-dimensional embeddings and out-of-scope refusal handling.

  • Python
  • ChromaDB
  • Sentence Transformers
  • Groq API
Read case study

04 / Case study

TakeMeter

Fine-Tuned Soccer Discourse Classifier

A DistilBERT classifier for separating soccer analysis, hot takes, and reactions—and an honest comparison against a stronger baseline.

Evaluated on a manually reviewed 220-comment dataset; the fine-tuned model reached 75.8% versus an 81.8% zero-shot baseline.

  • Python
  • DistilBERT
  • Hugging Face
  • Evaluation
Read case study

Background

What I bring to the work.

I'm most interested in the point where software meets everyday work: replacing scattered tools, making APIs dependable, and testing whether AI features actually help.

I also lead ACM ULM, where I help create more opportunities for students to build together.

Education

B.S. Computer Science

University of Louisiana at Monroe · May 2027

Mathematics minor · 3.91 GPA

Leadership

President, ACM ULM

November 2025 – Present

Lead a five-officer team; grew active membership 40% and helped organize a three-day hackathon for 50+ participants across 14 teams.

Research

Undergraduate Researcher

Emerging Scholars Program · August 2024 – May 2025

Conducted applied edge-AI and computer-vision research and contributed to a paper presented at the department’s annual showcase.

Working toolkit

Tools in context, not percentages.

Backend and full-stack foundations first; applied AI extends the engineering underneath.

Backend & data

FastAPI, Flask, Django REST Framework, PostgreSQL, SQLite, REST APIs, relational data modeling

Languages & interfaces

Python, TypeScript, JavaScript, Java, SQL, HTML/CSS, React, Next.js, React Native, Expo

Applied AI

RAG, LLM integration, Sentence Transformers, vector search, ChromaDB, Hugging Face, DistilBERT, fine-tuning, evaluation

Tools & cloud

AWS, Git, GitHub, Pytest, PowerShell, Vercel

Contact

Let's build software that makes the work clearer.

I'm pursuing May 2027 new-grad software engineering roles in backend, full-stack, platform, cloud, and applied AI.

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