Anil Panday

Professional

Summary

About Me

Graduate Computer Science student with five years of experience delivering full-stack systems across academia, crypto, and U.S. healthcare domain. I worked on two startups focused on crypto trading and medical claims data, gaining an end to end approach to engineering across system design, implementation, optimization, and production release. In academic settings, I worked closely with administrative staff, student employees, and professors, developing skills in clear communication, expectation alignment, and thoughtful decision making across diverse stakeholders.

Career journey

Professional Experience

Graduate Assistant - Software Developer

Northwest Missouri State University

2025-08 — Present

CrewAIPython - Fast APIVue.js.NetMySQLIIS

Shipped a full-stack Capture-the-Flag system built with React, Django, Docker, and Nginx, integrating Gemini to support applied cybersecurity education.
Implemented CI/CD pipelines using Jenkins for university administrative applications developed in .NET, Node.js, and Python, automating previously manual build and deployment workflows.
Developed a time clock application using Spring Boot to support clock in and clock out workflows and accurate time tracking for student employees in a university library.
Contributed as a team member to develop a prototype chatbot assistant integrated into Canvas LMS for use across the university.
Trained junior developers on software engineering principles and project management, drawing on prior experiences and established practices from book such as The Pragmatic Programmer.

Software Engineer

Maitri Holdings Services

2024-02 — 2024-12 • Nepal

DjangoDjango REST FrameworkCeleryRabbitMQSafetyCLI

Worked on a backend application to streamline medical data starting from ingestion to report generation while adhering to HIPAA compliance requirements, such as data deidentification, access control, and secure data handling.
Designed and implemented RESTful APIs using Django and Django REST Framework, supporting production use by 2,000+ users globally.
Build and managed application on AWS EC2 (Ubuntu Server), S3(Storage) and Amazon RDS(database).
Integrated asynchronous processing using Celery and RabbitMQ to support NLP pipelines for extracting medical diagnoses and claims data from PDF documents.
Assessed and mitigated Python library vulnerabilities using Safety CLI.

Software Engineer (Remote)

Botsfolio Inc

2023-03 — 2023-11 • USA (Remote)

ReactReduxAWS Load BalancerAuto ScalingRedisSonarQube

Worked on an application for automated crypto trading.
Improved frontend maintainability and responsiveness by structuring state management with React and Redux.
Designed and operated a scalable AWS architecture using Load Balancer and Auto Scaling to handle traffic from 5,000+ active users.
Implemented Redis as an in memory data store to cache real time cryptocurrency prices, order book data, and computed trading metrics, reducing API calls, latency, and backend load.
Built data visualizations using Recharts in React to track cryptocurrency market trends, including price fluctuations and user profit and loss metrics.

Software Engineer

Cedar Gate Technologies

2021-03 — 2023-02 • Nepal

JavaHadoopAWS S3EC2EMRRedshiftPySpark

Worked an application to support value-based healthcare.
Experienced with Java Cascading, Hadoop Eco system, Amazon S3, EC2, EMR cluster and Amazon RedShift.
Auto-scaling in EMR clusters to dynamically adjust the number of nodes based on CPU usage, ensuring performance and cost-efficiency.
Contributed on migration of a health care project( ISAAC ) implemented in python, pig, pyspark to java (existing in house scrubbing project).
Performed code reviews and supported junior engineers in completing development tasks.

Portfolio

Projects

MedBot

Conference Project

Conversational interface for audio + PDF email attachments in healthcare workflows.

PythonStreamlitPostgreSQL (pgvector)VoskGemini (LLM)CrewAI

Built a retrieval augmented generation based AI chatbot to help doctors search and interact with unstructured medical data, implementing audio transcription with the VOSK API, document parsing with PyPDF2, and MongoDB for vector storage to support embedding based storage and retrieval.

A Multi-LLM Chatbot for Streamlining Patient Referrals

Research Project Under Review.

Conducted a research study under Professor Mark Chai evaluating a multi LLM chatbot for patient referral automation within EMR and EHR systems, comparing Groq, OpenAI GPT OSS 120B, and Gemini 2.5 Flash models on healthcare data to assess performance, reliability, and clinical trade offs. The paper is currently under review, and a draft is available upon request.

Capture The Flag (Learning security with fun and feedback)

PythonSentryDockerTypeScript

An interactive cybersecurity learning platform where users can practice real-world security skills through guided challenges and friendly competitions. The system securely manages user accounts, tracks progress and scores, and supports both individual and team-based participation. Features a responsive UI, making learning engaging, accessible, and practical for a wide range of devices.

Stack

Technical Toolkit

Languages

PythonJavaC++CSQLReact

Backend

Spring BootDjangoDjango REST FrameworkCeleryRabbitMQRedis

Cloud & Infra

AWS (EC2, S3, EMR, Redshift)Load BalancerAuto ScalingJenkinsIIS

Data & Systems

Hadoop EcosystemPySparkPostgreSQL

Quality & Security

SonarQubeSafetyCLIClean Architecture

Foundation

Education

Northwest Missouri State University

MS in Applied Computer Science

2025-01 — Present • Maryville, Missouri

Coursework: Database, Software engineering, and Applied computing.

Chandigarh University

BS in Computer Science and Engineering

2016-08 — 2020-06 • India

Coursework: Data Structures & Algorithms, Operating Systems, Computer Organization & Architecture.

Kathmandu Model College

Higher Secondary Education in Science

2016 • Kathmandu, Nepal

Get in touch

Let's build something meaningful.