Open to opportunities

Sachin Khanal

@sachinkhanal

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Software engineer intern building AI-driven products and computer vision systems.

United States

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What I'm looking for

I’m looking for a role where I can build dependable software and apply computer vision/OCR skills. I want to work with teams that care about testing, evaluation, and safety-focused design—shipping features that stay consistent in production.

I’m a software engineer intern focused on building reliable, real-world systems—especially where AI meets product quality. I enjoy turning messy workflows into consistent experiences, whether that’s UI behavior across suites or evaluation-ready pipelines.

At Deltek and Transurban, I worked across the stack of computer vision and software delivery. I trained and improved vehicle detection with Roboflow and YOLOv8, refined OCR/ALPR workflows, integrated Carmen and Plate Recognizer APIs, and built a Flask/SQL OCR review tool to support manual auditing across 500K+ records.

I also bring a strong safety-and-structure mindset through my project work. In AgentGuard, I helped build an AI agent policy-enforcement layer that evaluates tool/API calls with a 10-step engine and produces ALLOW, ASK USER, or DENY verdicts with full audit trails.

Alongside AI-focused work, I lead hands-on development and QA. On a full-stack tabletop sports data platform, I supported architecture, repository structure, deployment tooling, and QA, and helped design privacy-focused sessions with temporary join codes and post-session deletion.

Experience

Work history, roles, and key accomplishments

Software Engineer Intern

Deltek

Jun 2026 - Aug 2026 (2 months)

Implemented UI consolidation updates to ensure consistency across Deltek’s PPMNextGen suite and improved filtering of Project/Risk categories in Deltek’s Risk platform.

UI Consolidation Filtering

Tabletop Sports Data Platform

Computers4Kids

Jan 2026 - May 2026 (4 months)

Built a full-stack tabletop basketball data platform to help middle school students collect, visualize, and analyze gameplay data using React/Vite/TypeScript, FastAPI, and Supabase/PostgreSQL. Defined architecture and led QA across the codebase, including privacy-focused session design with temporary join codes and session-based data deletion.

React Vite TypeScript fastAPI Supabase PostgreSQL Docker Git QA Privacy Preserving Sessions

Software Engineer Intern

Transurban

Sep 2024 - Aug 2025 (11 months)

Trained computer vision models to improve vehicle detection and license plate recognition accuracy, and integrated Carmen and Plate Recognizer APIs into ALPR workflows. Built a Flask/SQL OCR review tool to audit ALPR outputs and support manual review across 500K+ records.

Roboflow YOLOv8 Computer Vision License Plate Recognition OCR Audits ALPR LPR Model Validation Plate Recognizer API API Integration Flask SQL

Elemental Stickman Combat

CS Data Structures Final

Apr 2024 - Jun 2024 (2 months)

Engineered and deployed core gameplay mechanics and physics for a 2D Java stickman combat game, including player movement, collision detection, and a health system. Used Java Swing and AWT for rendering and collaborated with Git/GitHub across the development lifecycle.

Java Java Swing AWT 2D Game Development Physics Health Systems Git GitHub

AgentGuard AI Safety

HooHacks 2026

Collaborated on a hackathon project to build a policy-enforcement gateway for AI agent tool/API calls, producing ALLOW/ASK USER/DENY results with full audit trails. Authored scaffolding, contributed architecture work and frontend styling, and supported production deployment.

Policy Enforcement fastAPI REST APIs