Software engineer with 4+ years of experience developing scalable, high-performance applications using modern web technologies. Adept at leading cross-functional teams to deliver solutions that exceed expectations on time and within budget. Passionate about leveraging technology to drive meaningful change.
Software Engineer | amishranpariya@gmail.com | +918128167201 | linkedin.com/amishranpariya
| Frameworks | Languages | Technology | Other |
|---|---|---|---|
| React, Next.js | TypeScript, JavaScript | AWS, Firebase | SEO, AEO, Semrush |
| Node.js, Express.js | HTML, CSS | Git, GitHub | Performance Optimization |
| Redux, Zustand | PHP | Sentry, New Relic | Stripe, PayPal |
| WordPress, WooCommerce | SQL, No-SQL, GraphQL | Machine Learning | Docker |
| Tailwind CSS | C++, | Artificial Intelligence | Figma |
| Chakra UI, Bootstrap | Python | Sockets, WebRTC | Cypress, Jest |
Jan 2024 - present
Software Engineer
- Specialized in enterprise-level WordPress development, including plugin and theme development, headless WordPress, and Gutenberg block development.
- Enhanced performance for high-traffic auto dealership sites, achieving 50-70% improvement across LCP, TTFB, and FCP metrics by implementing server-side API caching, code refactoring, and page-level caching, significantly enhancing performance, reducing server load, and even lowering API costs.
- Delivered 7 high-performance websites for Cox Automotive by developing customized blocks and patterns, meeting CWV standards, and earning praise for early project completion and improved UX.
- Contributed to various projects, including plugin development, theme creation, and WooCommerce store setup, collaborating effectively with cross-functional teams.
June 2022 - Jan 2024
Senior Software Engineer
- Led the development of Whimstay's v4 web app, delivering it production-ready in 8 months with significant improvements in code quality, performance, and core web vitals.
- Reduced LCP for highly dynamic listing pages by 62% (from 5.5s to 2.1s) by implementing ISR, lazy loading, priority prefetching, and multilevel caching.
- Cut third-party API costs by 98% through multilevel caching strategies including Redis and CloudFront.
- Identified and mitigated DoS attacks with AWS WAF protection while ensuring no disruption to existing automation (e.g., Sentry, Google Merchants).
- Led 4 teams across 6 projects, driving collaboration and performance improvements. Promoted to senior role within 3 months of joining, after improving performance, web vitals, and SEO for the Whimstay app.
Jan 2022 - June 2022
Software Engineer
- Promoted to Frontend Web-Tech Lead role within 3 months of starting as an intern, after developing more than 3 webapps from scratch to fully functional webapps by using NextJS.
- Sharpened my skills in React, Next.js, Sockets, Chakra UI, and many more technologies.
- Worked with many different Edvora APIs and third-party APIs.
2023 - 2024
M.Tech. in Computer Science and Engineering
Silver Medalist - 9.27 CGPA
Coursework: Computer Networks, Artificial Intelligence, Machine Learning
2019 - 2023
B.Tech. in Computer Science and Engineering
Gold Medalist - 9.51 CGPA.
Coursework: Data Structures and Algorithms, Object-Oriented Programming, Database Systems, Software Engineering, Computer Networks, Artificial Intelligence, Machine Learning, Natural Language Processing
Nov 2022 - July 2023
Vacation Rentals Booking App (link)
- Led the development of Whimstay's v4 web app, delivering it production-ready in 8 months with significant improvements in code quality, performance, and core web vitals.
- Achieved a 62% reduction in LCP, from 5.5 seconds to 2.1 seconds, for highly dynamic listing pages, by utilizing ISR, strategic lazy loading, priority prefetching, and multilevel caching.
- 98% cost reduction of third-party API with multilevel caching strategies (Redis, CloudFront, and browser).
- Integrated Stripe payment gateway for seamless transactions and Affirm for buy now pay later.
- Collaborated with the DevOps team to optimize app architecture, achieving significant performance gains without drastically increasing costs.
July 2021 - June 2022
Website-Editor and Hosting Platform (link)
- Created a web editor for users to create and host websites, such as Amish and Milk Mocha.
- Gained exposure to new technologies, such as React, Redux, Firebase, PWA, Tailwind, and Figma.
May 2020
Color Inspiration App (link)
- Created a platform to share color schemes and to inspire themselves with diverse, unique, and community-generated color palettes.
- Technologies used: React, Redux, Firebase, PWA.
A Digital Twin Solution for Fault Detection in Time-Critical IIoT Applications | Journal of Simulation (Taylor & Francis)
Published in January 2025 Topics: Digitan Twin, Machine Learning, Fault Detection, IIoT
- Developed an end-to-end Digital Twin architecture leveraging a collaborative cloud-edge approach for real-time monitoring and fault detection in IIoT systems.
- Designed and implemented a lightweight, two-phased machine-learning ensemble model achieving 99.71% accuracy with a 4.8 ms average estimation delay.
- Addressed challenges such as network latency and resource-intensive processing, ensuring high accuracy and rapid response times in dynamic industrial environments.
PULSE: Proactive uncovering of latent severe anomalous events in IIoT using LSTM-RF model | Cluster Computing (Springer Nature)
Published in July 2024 Topics: Anomaly Detection, LSTM, Random Forest
- Designed a novel two-staged anomaly detection framework for IIoT systems, combining Long Short-Term Memory (LSTM) for temporal pattern recognition and Random Forest (RF) for robust classification.
- Addressed challenges of analyzing vast, heterogeneous, and complex IIoT data streams, ensuring precise anomaly detection even in imbalanced datasets.
- Evaluated the model on real-world datasets with short-term and long-term temporal dependencies, outperforming traditional approaches in accuracy and efficiency.
👋 I love connecting with different people so if you want to say hi, I'll be happy to meet you! 😇
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