Kushpal Singh Yadav

• Bangalore, Karnataka, India
• yadavkush76@gmail.com
• linkedin.com/in/kushpal-yadav
• github.com/kushpal

Backend engineer with 5+ years of experience building scalable cloud-native systems, architecting secure microservices and leading agile teams. Skilled in Python, FastAPI, GCP, AWS and machine learning. Known for improving deployment efficiency by 30%, publishing research in brain imaging, and driving performance optimisations at scale.

1. Software Engineer

   Liftoff Software Pvt. Ltd Bangalore, India Aug 2024 – Present

   • Designed and deployed scalable GraphQL APIs and microservices using FastAPI and Python.
   • Built and maintained CI/CD pipelines with GitHub Actions, improving deployment efficiency by 30% through optimised workflows.
   • Integrated Cloud Run for seamless deployment of containerised applications on GCP.
   • Applied advanced web scraping and data processing techniques, optimising data pipelines.

2. Software Developer

   K12 Techno Services Pvt. Ltd Bangalore, India Sep 2020 – Jul 2024

   • Spearheaded the revamp of a core ERP platform, increasing overall system efficiency by 18%.
   • Collaborated with a team of 8 engineers using Agile practices, delivering features every 2–3 week sprint.
   • Developed and maintained secure REST APIs with DevOps, enhancing backend performance by 15%.
   • Moved onto the ERP project using Python, Django and React.js behind an API gateway — translating problem statements into efficient logic, identifying and resolving bugs, and contributing to robust system design.
   • Improved team onboarding documentation and testing processes, boosting confidence in feature delivery.

1. TrendSense

   quilt.ai Singapore Aug 2024 – Present

   • Built a system to collect and analyse global trends from TikTok, YouTube and Instagram using Apify and public data sources.
   • Used Gemini to process raw trend data into structured insights for clients in the beauty, cosmetics and travel sectors.
   • Engineered backend services with Python and Node.js plus a data migration tool, enhancing backend performance by 15%.
   • Deployed scalable microservices on Google Cloud Run with GraphQL and FastAPI for efficient data access.
   • Implemented CI/CD pipelines to streamline development, testing and deployment.

2. Cloud Storage System (multi-client)

   Internal tool, Liftoff Bangalore, India Aug 2024 – Present

   • Engineered a TCP-based cloud storage system in C with concurrent user handling and secure access control.
   • Conceived, adapted and executed a multi-client system that efficiently manages concurrent requests over a client–server TCP architecture.
   • Implemented server-side per-user log files with strict access control, preventing unauthorised reading or writing of another user’s files.

3. ERP System

   K12 Techno Services Bangalore, India Apr 2021 – Aug 2024

   • Developed a REST API for fee payments across multiple gateways, letting administrators monitor transactions and reports for over 100K monthly payments.
   • Designed 15+ custom modules with continuous integration on AWS and GCP, using Lambda and Google Cloud Functions.
   • Led development of the project’s database and REST API using Django REST Framework, Google Cloud Storage and a microservices architecture.
   • Drafted 20+ standalone modules, integrating them across AWS and GCP with various microservices to optimise functionality and overall scalability.

4. M.Tech Thesis — early detection of Alzheimer’s disease

   IIT Gandhinagar Jul 2019 – Aug 2020 Published Aug 2021

   • Designed and deployed a high-performing 2D CNN for Alzheimer’s disease classification from MR images, outperforming state-of-the-art methods on accuracy, sensitivity and specificity across different brain planes.
   • Preprocessed T1-weighted MRI volumes from the ADNI database into sagittal, coronal and axial slices totalling 94,536 slices, eliminating non-informative slices and addressing head movement and noise.
   • Published as “A Novel Approach Towards Early Detection of Alzheimer’s Disease Using Deep Learning on Magnetic Resonance Images” — code on GitHub.

1. Master of Technology, Computer Science

   IIT Gandhinagar Gujarat, India Jul 2018 – Jul 2020

2. Bachelor of Technology, Computer Science

   Tezpur University Assam, India Jul 2013 – Jul 2017

3. Microsoft Certification — Exam 98-381

   Introduction to Programming using Python Jul – Sep 2020

   • View certificate (PDF)

• Developed an automated exam seating system at IIT Gandhinagar to enforce social distancing during COVID-19, keeping exams running safely.
• Published and presented research at the Brain Informatics Conference 2021 — two lightning talks.
• Spot Award (2022) — for excellence in development reliability engineering at K12 Techno Services.
• Secured a percentile of 98.47% in GATE 2018.
• Built ML models (SVM, random forest, naive Bayes) from scratch as part of research and academic work.

Languages

Python · Node.js · React.js · JavaScript · Bash · PHP

Frameworks

Django · FastAPI · Flask · Pytest

Tools

Docker · Jenkins · GitHub Actions · Apify · Postman · Swagger

Cloud & databases

AWS · GCP · MongoDB · Redshift · PostgreSQL · Grafana