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Swastik SaxenaSS
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Swastik Saxena

@swastiksaxena

I build scalable warehouse and backend systems with Node.js, PostgreSQL, and GCP.

India
Message

I'm driving WMS product development at StackBox, delivering modules used across 60+ warehouses, including Nestle and Samadhan.

I own features end to end—from requirements and technical design through schema design, API contracts, and production deployment. I built Node.js, TypeScript, and Fastify APIs handling 10K+ daily transactions, designed a Bin Consolidation algorithm that improved space utilization by 50%, and reduced API response time by 95% through PostgreSQL tuning.

Previously at Ossila, I built and deployed an OpenAI-integrated chatbot platform on Google App Engine with real-time WebSocket responses and set up GCP CI/CD pipelines. At Phablecare, I delivered REST APIs for digital prescriptions and consultation bookings while integrating Razorpay, Msg91, and Medpay.

I also bring a computer vision research foundation from IIT Indore, including published work on traffic sign detection and recognition using YOLOv4. I enjoy owning technical design, improving production performance, and helping junior developers grow through reviews, pairing, and design discussions.

Experience

Work history, roles, and key accomplishments

OL

JavaScript Developer (Full Stack Developer)

Ossila Ltd

Mar 2023 - Jan 2024 (10 months)

Built and deployed a secure OpenAI-integrated chatbot platform on Google App Engine, achieving 100% code coverage with TDD. Set up CI/CD pipelines and managed full-stack development.

PL

Associate Software Engineer (Backend Developer)

Phablecare Ltd

Jul 2022 - Feb 2023 (7 months)

Implemented 15+ RESTful APIs for digital prescriptions and consultation bookings. Integrated third-party APIs and optimized performance with Mocha, Postman, and Redis.

Education

Degrees, certifications, and relevant coursework

Indian Institute of Technology Indore logoII

Indian Institute of Technology Indore

Master of Science, Computer Vision and Pattern Recognition

2020 - 2022

Grade: 9.75/10

Master of Science in Computer Vision and Pattern Recognition with a CGPA of 9.75/10.

BT

Bansal Institute of Science and Technology

Bachelor of Engineering, Computer Science and Engineering

2016 - 2020

Grade: 8.9/10

Bachelor of Engineering in Computer Science and Engineering with a CGPA of 8.9/10.

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