Ankush Jaiswal
Member Of Technical Staff at Skillwin Technology Private Limited (Octro Inc.)
About
Experience
Member Of Technical Staff
Skillwin Technology Private Limited (Octro Inc.)
June 2024 - Present
- Delivered end-to-end features across Unity (C#/.NET) clients and Golang microservices for 3M+ users. - Scaled AWS S3 and CDN-backed delivery, reducing infrastructure costs by 30%. - Architected distributed workflows using Kafka, Redis, and MySQL, reducing database load by 50%+. - Established CI/CD pipelines with GitHub Actions, enabling automated zero-downtime deployments. - Engineered low-latency REST APIs and WebSocket services for real-time multiplayer synchronization. - Eliminated 80% manual effort and accelerated content releases by automating LiveOps workflows. - Launched four strategic features, increasing revenue by 40% within three months. - Optimized asset bundle pipelines, reducing build times by 95%.
Web Developer Intern
BlueThink IT Consulting
May 2023 - July 2023
- Developed multi-page job-matching web app using React.js with Firebase for backend and database integration. - Designed a responsive and user-friendly interface using HTML and Tailwind CSS for seamless site navigation. - Integrated AGGrid React to export student data into Excel with custom formatting for evaluations. - Implemented secure JWT-based authentication using Node.js, ensuring protected access and user verification.
Education
Bachelor Of Technology (B.Tech)
Indian Institute of Technology, (BHU) Varanasi
August 2020 - May 2024
Skills
Intermediate
Projects
Picigram, A Social Media Application
December 2022 - January 2023
Built a full-stack social media platform with CRUD operations, Google OAuth login, image upload/save, commenting, and advanced search/filter functionality using React.js for UI and Sanity CMS as the scalable content backend.
Colloidal Particle Detection and Size Analyzer
May 2022 - June 2022
Trained a YOLO-based object detection model on 1,000+ labeled images achieving 95% accuracy; engineered OpenCV and NumPy preprocessing pipelines enabling real-time particle size estimation and significantly reducing manual analysis effort.
Contact Information
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