About
Hello — I’m Kushpal.
I grew up in Gwalior, Madhya Pradesh, studied computer science at Tezpur University in Assam, and then spent two years at IIT Gandhinagar for my M.Tech. I now live and work in Bangalore.
Most of my research life was spent asking whether a neural network can see something in a medical image before a person can. My thesis went after early-stage Alzheimer’s in MR scans and was published at Brain Informatics 2021; in 2020 a related approach turned into a public tool for screening chest X-rays for COVID-19, which the Indian Institute of Public Health tested and national outlets wrote about.
Since then the work has been backend and infrastructure: five years of REST and GraphQL APIs, microservices on GCP and AWS, and CI/CD pipelines — first rebuilding a school ERP platform that processes over 100K payments a month, now on a trend-intelligence platform that turns raw social data into something clients can act on. The thread through both halves is the same: take something that works in a notebook and make it hold up in production.
Experience
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Software Engineer
- Designed and deployed scalable GraphQL APIs and microservices with FastAPI and Python.
- Built and maintained CI/CD pipelines with GitHub Actions, improving deployment efficiency by 30%.
- Integrated Cloud Run for deploying containerised applications on GCP.
- Applied advanced web scraping and data processing to optimise data pipelines.
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Software Developer
- Spearheaded the revamp of a core ERP platform, increasing overall system efficiency by 18%.
- Worked in a team of eight engineers on 2–3 week Agile sprints.
- Developed and maintained secure REST APIs, improving backend performance by 15%.
- Built ERP features in Python, Django and React.js behind an API gateway — turning problem statements into working logic, tracking down bugs and shaping system design.
- Improved onboarding documentation and testing processes, raising confidence in feature delivery.
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Graduate Teaching Assistant
- Lead TA for Advanced Numerical Methods in Engineering with Prof. Mohan Joshi — ran lab sessions, tutorials and MATLAB Cody coursework.
- TA for the Python course with Prof. Krishna Prasad Miyapuram.
- Helped run the IITGN Foundation Programme 2019 alongside visiting faculty.
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Intern — Alumni Portal
- Built web applications for the university on a MySQL backend.
Education
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M.Tech, Computer Science & Engineering
- Coursework in advanced algorithms, artificial intelligence, machine learning and nature-inspired computing.
- Thesis on early detection of Alzheimer’s disease from MR images using deep learning, published at Brain Informatics 2021.
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B.Tech, Computer Science & Engineering
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Microsoft Certified — Exam 98-381
Skills
- Languages
- Python · Node.js · JavaScript · React.js · Bash · PHP · C
- Frameworks
- Django · Django REST Framework · FastAPI · Flask · GraphQL · Pytest
- Cloud
- GCP (Cloud Run, Cloud Functions, Cloud Storage) · AWS (Lambda) · Docker
- Databases
- PostgreSQL · MongoDB · Redshift · MySQL
- Tooling
- GitHub Actions · Jenkins · Grafana · Apify · Postman · Swagger · Git
- ML & data
- TensorFlow · convolutional neural networks · classical ML from scratch
- Spoken
- Hindi (native) · English (professional)
Achievements
- Published and presented research at the Brain Informatics Conference 2021 — two lightning talks.
- Spot Award (2022) at K12 Techno Services, for excellence in development reliability engineering.
- Built an automated exam seating system at IIT Gandhinagar that enforced social distancing during COVID-19, keeping exams running safely.
- 98.47 percentile in GATE 2018.
- Implemented SVM, random forests, naive Bayes, linear regression and decision trees from scratch in Python — the code is on GitHub.