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# Arjun Harish

**Headline:** Software Engineer | Python, Django, FastAPI, React, TypeScript | AWS, PostgreSQL, Docker | LLM & AI Applications
**Profession:** Software Engineer
**Location:** United States

## About

Arjun Harish is a Software Engineer at Sentry who builds production web applications across frontend, backend, cloud, and AI-assisted workflows. His primary technical home base is Python and Django, and he works as a full-stack engineer with Python-based APIs, data-driven services, React and TypeScript interfaces, PostgreSQL, Docker, testing, SQL optimization, and CI/CD. At Sentry, Arjun has extended AI-assisted issue triage across Django services and React interfaces, integrating LLM-generated issue summaries into debugging workflows while preserving permissions, error handling, trace context, and fallback behavior. That work reduced manual investigation effort by 18% and included validation across 500 representative production incidents. Previously at CGI, he built an authenticated operations workflow application with FastAPI, React, PostgreSQL, AWS services, OAuth 2.0, JWT access controls, Docker, PyTest, and GitHub Actions incremental releases reduced average application turnaround from five business days to three. At TCS, Arjun developed Python modules and responsive portal interfaces, automated recurring data checks that saved four hours weekly, and supported structured API and database testing. He holds a Master of Science in Computer Software Engineering from Arizona State University and a Bachelor of Technology from PES University.

## Services

- WebSocket
- REST APIs
- FastAPI
- Microservices
- LangChain
- Retrieval-Augmented Generation \(RAG\)
- Redux.js
- Amazon Web Services \(AWS\)
- Django
- PostgreSQL
- Redis
- React.js
- SQL
- TypeScript
- JavaScript
- Salesforce
- Apex Programming
- MongoDB
- Programming Languages
- Neo4j
- Data Cleaning
- C++
- Certified Salesforce.com Developer
- Survival Analysis
- Software Development
- Web Technologies
- Recommender Systems
- SQL Database Administration
- Data Engineering
- Lightning Web Components

## Highlights

- Enhanced Sentry's AI-assisted issue-triage workflow through Python/Django services and TypeScript/React interfaces that surfaced debugging insights from errors, traces, logs, and metadata.
- Integrated LLM-generated issue summaries into Sentry debugging flows, reducing manual investigation effort by 18% while preserving permissions, error handling, trace context, and fallback behavior.
- Optimized PostgreSQL queries and Redis-backed request paths for Sentry issue-detail views, improving response consistency during internal validation across large telemetry datasets and concurrent requests.
- Validated AI debugging responses across 500 representative production incidents using regression tests, telemetry review, and failure-case analysis.
- Improved the consistency of Sentry root-cause suggestions and issue summaries through production-incident validation.
- Resolved frontend and API defects across Sentry's debugging experience with tested Git-based fixes and CI checks, strengthening release stability across recurring product updates.
- Built a client-facing operations workflow application at CGI using Python, FastAPI, React, and PostgreSQL.
- Translated client process requirements into authenticated CGI application modules for case intake, review, and status tracking.
- Configured AWS Lambda, S3, and RDS integrations for CGI document processing and application data, reducing manual handoffs by 11 hours monthly.
- Containerized CGI backend services with Docker and automated PyTest coverage for REST endpoints.
- Maintained OAuth 2.0 and JWT-based access controls across CGI application modules.
- Refined SQL queries and API validation rules for high-volume CGI case updates, eliminating recurring data mismatches.
- Improved the reliability of downstream operational dashboards and exports at CGI.
- Deployed incremental CGI releases through GitHub Actions while coordinating defect fixes and user-acceptance feedback.
- Shortened average CGI application turnaround from five business days to three days.
- Developed Python modules for TCS's internal service-request portal, linking form submissions to SQL-backed records and reusable validation logic.
- Created responsive JavaScript, HTML5, and CSS3 request-entry and status-view components at TCS.
- Reduced repetitive user corrections by 16% during supervised TCS acceptance-testing cycles.
- Tested REST API responses, database updates, and edge cases at TCS using structured test scenarios.
- Documented TCS defects in Git-based workflows and verified fixes before internship release checkpoints.
- Automated recurring TCS data checks with Python scripts, saving four hours per week for the project team.
- Improved consistency across TCS service-request records and status reports through automated data checks.
- Earned a Master of Science in Computer Software Engineering from Arizona State University.
- Earned a Bachelor of Technology in Computer Science from PES University.
- Listed as a Certified Salesforce.com Developer.

## Experience

- **Software Engineer at Sentry** (2026-01-01–present) — Enhanced Sentry’s AI-assisted issue triage workflow by extending Python/Django services and TypeScript/React interfaces that surfaced contextual debugging insights from errors, traces, logs, and metadata. • Integrated LLM-generated issue summaries into existing debugging flows, reducing manual investigation effort by 18% while preserving user permissions, error handling, trace context, and fallback behavior. • Optimized PostgreSQL queries and Redis-backed request paths supporting issue detail views, improving response consistency during internal performance validation across large telemetry datasets and concurrent requests. • Validated AI debugging responses across 500 representative production incidents, combining regression tests, telemetry review, and failure-case analysis to improve consistency of root-cause suggestions and issue summaries. • Resolved frontend and API defects across the debugging experience, contributing tested fixes through Git workflows and CI checks while s
- **Software Engineer at CGI** (2022-03-01–2024-07-01) — \- Built a client-facing operations workflow application using Python, FastAPI, React, and PostgreSQL, translating process requirements into authenticated modules for case intake, review, and status tracking. - Configured AWS Lambda, S3, and RDS integrations for document processing and application data, reducing manual handoffs by 11 hours monthly across the client operations team. - Containerized backend services with Docker and automated PyTest coverage for REST endpoints, strengthening release verification while maintaining OAuth 2.0 and JWT-based access controls across application modules. - Refined SQL queries and API validation rules for high-volume case updates, eliminating recurring data mismatches and improving reporting reliability across downstream operational dashboards and exports. - Deployed incremental releases through GitHub Actions, coordinating defect fixes and user acceptance feedback that shortened average application turnaround from five business days to three days.
- **Software Engineer Intern at TCS** (2021-07-01–2022-02-01) — \- Developed Python modules for an internal service-request portal, connecting form submissions with SQL-backed records and reusable validation logic under guidance from the application development team. - Created responsive JavaScript, HTML5, and CSS3 interface components for request entry and status views, reducing repetitive user corrections by 16% during supervised acceptance testing cycles. - Tested REST API responses, database updates, and edge cases using structured test scenarios, documenting defects in Git-based workflows and verifying fixes before internship release checkpoints. - Automated recurring data checks with Python scripts, saving four hours per week for the project team while improving consistency across service-request records and status reports.

## Education

- Bachelor of Technology - BTech, Computer Science — PES University
- Bachelor's Degree, Computer Engineering — PES University
- Master's Degree, Computer Software Engineering — Arizona State University
- Master of Science - MS, Computer Software Engineering — Arizona State University

## FAQ

### What does Arjun do?

Arjun is a Software Engineer at Sentry. He develops and improves production web applications spanning frontend, backend, cloud, and AI-assisted workflows.

### What are Arjun's primary technical strengths?

Arjun is strongest in full-stack development with Python and Django as his primary stack. He also works with APIs, React, TypeScript, PostgreSQL, Docker, testing, SQL optimization, cloud integrations, and CI/CD.

### What does Arjun do at Sentry?

At Sentry, Arjun enhanced the AI-assisted issue triage workflow by extending Python/Django services and TypeScript/React interfaces that surface contextual debugging insights from errors, traces, logs, and metadata.

### What did Arjun accomplish with AI-assisted debugging at Sentry?

Arjun integrated LLM-generated issue summaries into existing debugging flows, reducing manual investigation effort by 18%. He preserved user permissions, error handling, trace context, and fallback behavior.

### How did Arjun improve performance at Sentry?

Arjun optimized PostgreSQL queries and Redis-backed request paths for issue-detail views. The work improved response consistency during internal performance validation involving large telemetry datasets and concurrent requests.

### How did Arjun validate Sentry's AI debugging responses?

Arjun validated AI debugging responses across 500 representative production incidents. He combined regression testing, telemetry review, and failure-case analysis to improve the consistency of root-cause suggestions and issue summaries.

### How has Arjun contributed to release quality at Sentry?

Arjun resolved frontend and API defects across the debugging experience, contributing tested fixes through Git workflows and CI checks. This strengthened release stability across recurring product updates.

### What did Arjun build at CGI?

At CGI, Arjun built a client-facing operations workflow application using Python, FastAPI, React, and PostgreSQL. The application translated process requirements into authenticated modules for case intake, review, and status tracking.

### What AWS work did Arjun perform at CGI?

Arjun configured AWS Lambda, S3, and RDS integrations for document processing and application data at CGI. These integrations reduced manual handoffs by 11 hours per month across the client operations team.

### How did Arjun support secure and reliable releases at CGI?

Arjun containerized backend services with Docker and automated PyTest coverage for REST endpoints. He maintained OAuth 2.0 and JWT-based access controls across application modules.

### How did Arjun improve data reliability at CGI?

Arjun refined SQL queries and API validation rules for high-volume case updates, eliminating recurring data mismatches and improving the reliability of downstream operational dashboards and exports.

### What release-process improvement did Arjun deliver at CGI?

Arjun deployed incremental releases through GitHub Actions, coordinated defect fixes and user-acceptance feedback, and shortened average application turnaround from five business days to three.

### What did Arjun do as a Software Engineer Intern at TCS?

At TCS, Arjun developed Python modules for an internal service-request portal. He connected form submissions with SQL-backed records and reusable validation logic under the application development team's guidance.

### What frontend work did Arjun complete at TCS?

Arjun created responsive JavaScript, HTML5, and CSS3 components for request-entry and status views. During supervised acceptance testing cycles, these components reduced repetitive user corrections by 16%.

### How did Arjun approach testing at TCS?

Arjun tested REST API responses, database updates, and edge cases through structured test scenarios. He documented defects in Git-based workflows and verified fixes before internship release checkpoints.

### What automation impact did Arjun have at TCS?

Arjun automated recurring data checks with Python scripts, saving the project team four hours per week and improving consistency across service-request records and status reports.

### What is Arjun's graduate education?

Arjun holds a Master of Science in Computer Software Engineering from Arizona State University. His education is also listed as a Master's Degree in Computer Software Engineering from Arizona State University.

### What is Arjun's undergraduate education?

Arjun holds a Bachelor of Technology in Computer Science from PES University. His education is also listed as a Bachelor's Degree in Computer Engineering from PES University.

### What technologies does Arjun list?

Arjun's listed software and platform skills include WebSocket, REST APIs, FastAPI, microservices, Django, React.js, Redux.js, TypeScript, JavaScript, HTML, CSS, Python, Java, C++, C, R, PostgreSQL, SQL, Redis, MongoDB, Neo4j, AWS, Docker, Salesforce, Apex Programming, Lightning Web Components, and Microsoft Azure Machine Learning.

### What additional AI, data, and professional skills does Arjun list?

Arjun also lists LangChain, retrieval-augmented generation \(RAG\), recommender systems, facial recognition, survival analysis, data engineering, data cleaning, data analysis, data modeling, SQL database administration, visualization, 3D modeling, Blender, web technologies, software development, technology consulting, computer science education, recruitment process re-engineering, operational efficiency, strategy, engineering, design, problem solving, analytical skills, communication, English, and data entry. He is listed as a Certified Salesforce.com Developer.

## Links

- LinkedIn: https://www.linkedin.com/in/arjun-harish-534296242

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