Start with
the data.
Map the source
and its shape.
KATHMANDU, NEPAL OPEN TO GOOD WORK
PRATIK GHIMIRE — SOFTWARE ENGINEER
I build
what works.✳
Reliable data systems. Thoughtful mobile products. Less friction between an idea and the thing people can use.
HOW I APPROACH THE WORK01 — 03
A PRACTICAL ENGINEERING LOOP
Start with
Check what
matters.
Test rules,
compare results.
Make it
useful.
Automate the path
to a clear result.
CURRENT FOCUS
- DATA QUALITY
- HEALTHCARE
- AI AUTOMATION
- MOBILE PRODUCTS
01 / SELECTED WORK
Small teams.
Shipped products.
A few independent projects, built from first sketch to production release.
PROJECT / 01ANALYTICS / MOBILE
Fantasy Insight
↗Fantasy Premier League analytics for exploring form, fixtures, and the numbers behind each pick.
PROJECT / 02PERSONAL GROWTH / MOBILE
Milestone
↗A personal achievement journal that turns life's big moments into a story you can revisit.
PROJECT / 03GAME / IN DEVELOPMENT
Tick00
↗A quick maths survival puzzle: build equations, chain bonuses, and beat the clock.
02 / ABOUT
DATA →DECISIONS
→ PRODUCTS
I care about the parts that make software trustworthy.
Nearly five years across quality engineering, healthcare data implementation, automation, and technical leadership. I enjoy understanding the edges of a system and making the whole workflow work better.
At Abacus Insights, I build and validate healthcare data workflows and explore practical AI tools for engineering. Independently, I take mobile products from architecture through release.
~5YEARS IN DATA & SOFTWARE
5–10ENGINEERS LED & MENTORED
03INDEPENDENT PRODUCTS
03 / TOOLKIT
What I build with.
Tools from my current practice, selected around the work I do.
Process & validate
Python · SQL · Databricks · PySpark · Delta Lake · Pandas
Move data well
AWS S3 · Redshift · Apache Airflow · Pentaho
Test the whole path
Data QA · Selenium · Postman · Workflow automation
Ship useful software
React Native · Expo · TypeScript · Django · REST APIs
Make the repetitive work easier.
AI agents · Reusable skills · MCP · AI-assisted development
04 / EXPERIENCE
Progress, through
the details.
From hands-on QA to engineering and technical leadership in healthcare data.
2026 — NOW
ABACUS INSIGHTSCURRENT
Software Engineer
Contribute to healthcare data implementation, Databricks processing, and validation workflows. Build AI proof-of-concepts, agents, and reusable skills for engineering and delivery tasks.
2022 — 2026
CEDAR GATE TECHNOLOGIESHEALTHCARE DATA
Four years of growing responsibility
Led and mentored a 5–10 person team, supported healthcare data delivery, and developed a Django tool for QA reporting and reference validation.
Associate Data QA ManagerSep 2025 — Jan 2026
Senior Data QA Engineer · Team LeadJan 2025 — Sep 2025
Data QA Engineer · Team LeadJun 2023 — Jan 2025
Data QA EngineerFeb — Jun 2023
Associate Data QA EngineerFeb 2022 — Feb 2023
05 / TOOLS
Built for the details.
01 / DATA QUALITY
Check a data file
Find missing values, duplicate IDs, and invalid records.
↗ 02 / CHANGE REVIEWCompare CSV exports
Spot changed columns, rows, and field values.
↗ 03 / API QUALITYInspect JSON payloads
Format and compare expected and actual responses.
↗ 04 / TEST DESIGNBuild a QA checklist
Turn field rules into practical test scenarios.
↗06 / LEARNING
A strong base.
Always learning.
BSc Computer Science & IT
Prime College · Tribhuvan University · Distinction
Agentic engineering
AI agents, Model Context Protocol, and practical AI-assisted development.
07 / CONTACT
HAVE A GOOD PROBLEM?
Let’s make
it work.
Open to thoughtful projects and conversations about data, engineering, and products that make a difference.
pratikghimire99@gmail.com ↗08 / QUICK CHALLENGE
Catch the
data glitches.
Three records have a problem. Tap the suspicious ones to clean the batch.
0 / 3 FOUND
CLAIM BATCH / 06 RECORDSDATA QUALITY CHECK
Inspect the records and find all three issues.