A

Abhi Patel

About

Detail

Gujarat, India

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work
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Résumé

Jobs verified_user 0% verified
  • S
    Senior Full-Stack Developer
    Jul 2024 - Current (1 year 10 months)
    Engineered and maintained React + TypeScript applications for 50,000+ users, improving page load times by 30% and enhancing UI responsiveness. Designed and deployed Node.js microservices on AWS Lambda & ECS, cutting downtime by 40% and improving scalability. Led the migration of legacy monolithic systems into microservices architecture, reducing cloud infrastructure costs by 25%. Built and optimized CI/CD pipelines (Jenkins, GitHub Actions), accelerating release cycles from bi weekly to multiple deployments per week. Integrated AWS services (S3, RDS, DynamoDB, CloudFront) to support high-availability, fault-tolerant applications. Implemented real-time features (WebSockets, event-driven systems), enabling seamless live updates and notificati
  • Wealthsimple
    Full-Stack Developer
    Wealthsimple
    Nov 2022 - Jun 2024 (1 year 8 months)
    Developed and maintained RESTful APIs in Node.js, integrated with PostgreSQL & MongoDB, supporting 20k+ daily active users. Built reusable React components with Redux, reducing front-end code duplication by 35%. Improved application performance by cutting front-end load time by 2.5 seconds through optimization techniques. Collaborated with DevOps to migrate workloads to AWS EC2 and RDS, achieving 99.9% uptime SLA. Introduced automated test suites using Jest & Mocha, raising test coverage by 35%. Partnered with product managers and designers to deliver features under Agile sprints, ensuring consistent on-time releases. Implemented role-based access control (RBAC) and authentication flows, improving system security and compliance.
  • A
    Software Engineer
    Adaptable, Surat, GJ
    Aug 2019 - Nov 2022 (3 years 4 months)
    Designed and implemented web applications using JavaScript, React, and Node.js for enterprise clients. Built and optimized SQL queries and stored procedures to support high-volume transactional systems. Assisted in developing microservice modules that integrated with third-party APIs, reducing integration time by 40%. Improved deployment workflows by contributing to CI/CD pipelines with Jenkins and Git. Collaborated with QA to debug and resolve performance bottlenecks, reducing bug resolution time by 25%. Contributed to front-end refactoring initiatives, modernizing UI components and improving customer satisfaction scores. Participated in daily stand-ups and sprint planning, ensuring clear communication across cross functional teams.
Education verified_user 0% verified
  • L
    Bachelor's Exchange Program
    Laurentian University
  • Rutgers University
    Master of Science
    Rutgers University
  • S
    Bachelor of Engineering
    Sarvajanik College of Engineering & Technology
Projects (professional or personal) verified_user 0% verified
  • G
    Google Play Store Ratings Analysis
    Conducted exploratory data analysis (EDA) on large-scale Google Play Store data to identify trends, correlations, and anomalies in app ratings. Built interactive dashboards in Tableau and Looker, tracking KPIs such as daily active users and churn rate. Applied trend forecasting and anomaly detection to deliver actionable insights for app optimization. Tech Python
  • E
    E-Commerce Platform (React + Node.js + AWS)
    Built a high-performance e-commerce platform supporting 10k+ concurrent users with AWS serverless architecture (Lambda, DynamoDB, CloudFront). Developed secure authentication, payment integration, and caching strategies, boosting transaction speed by 40%. Implemented monitoring and alerting with AWS CloudWatch, ensuring 99.95% uptime SLA. Tech Stack: React.js, TypeScript, Node.js, Express.js, AWS (Lambda, DynamoDB, CloudFront, S3), REST MongoDB
  • E
    EMPATH-R: Emotionally Adaptive Mental Health Companion
    Developed a socially aware AI-powered chatbot for elderly mental health support using OpenAI GPT-3.5 and multimodal emotion detection (text + facial). Implemented real-time adaptive responses, ethical filters, and risk detection (suicide/self-harm terms). Containerized with Docker and optimized API performance using Redis caching and JWT/OAuth 2.0 security. Stack: Python, OpenAI GPT-3.5 API, Flask, React.js, Docker, Redis, JWT, OAuth 2.0
  • C
    Cloud-Based Microservices Deployment with Kubernetes
    Designed and deployed a scalable microservices architecture with Kubernetes and Docker, ensuring high availability and fault tolerance. Automated deployments with CI/CD pipelines (Google Cloud Build, Jenkins, GitHub Actions), reducing release time by 70%. Optimized traffic handling using Horizontal Pod Autoscaler (HPA) and Ingress, cutting latency by 25%. Tech Stack: Kubernetes, Docker, AWS (ECS, Lambda, DynamoDB), Terraform, CI/CD (Jenkins, GitHub Actions, Cloud Build), React.js, Node.js