Ankit Dani

About Ankit Dani

As a Software Development Engineer with over 4 years of experience, I specialize in building scalable, high-performance backend systems and full stack applications using Java, Python, React, and AWS. My work invloves startups and enterprise environments, where I\'ve designed and deployed RESTful APIs, implemented microservices, and developed cloud-native solutions that power real-time communications, campaign management tools, and data-heavy enterprise applications. At Gabriel AI, I engineered backend services and React dashboards that improved client engagement and scalability by over 30%. In previous roles, I’ve led backend architecture for fintech and insurance platforms, optimizing system performance and cloud deployments using Spring Boot, Django, Docker, and Kubernetes. Core Skills: Python, React, Java, TypeScript, Django, Spring Boot, AWS (Lambda, ECS, S3), Docker, REST APIs, Microservices, SQL/NoSQL, CI/CD Cloud & DevOps: AWS (Lambda, ECS, API Gateway), Docker, Kubernetes, GitHub Actions, Jenkins I’m actively seeking opportunities as a Software Development Engineer, Backend Developer, or Full Stack Engineer—open to remote, hybrid, or on-site roles across the U.S. Let’s connect if you\'re building scalable systems, customer-facing platforms, or AI-powered applications—I’d love to help solve challenging problems that create real value.

Experience

1. Software Engineer

   Gabriel Ai

   Aug 2024 — Present · San Francisco, CA, US

   Developed a real-time automated voicemail application by implementing WebSocket-based communication for over users- Developed an analytics and reporting application with user friendly dashboards to boost user engagement by up to 30%- Designed and implemented a local storage caching mechanism to reduce redundant API calls by 30%- Integrated a 3rd party API to implement ringless voicemail delivery, increasing campaign reach by 40%, by sending voicemails directly to recipients’ voicemail inboxes without causing phone interruptions- Built a messaging service supporting messages per day to automate notifications for users- Integrated AWS Lambda for serverless data processing, reducing infrastructure costs by 20% while scaling to handle requests per day- Deployed the application using AWS ECS, and Amplify to enhance scalability, doubling user capacity- Created API documentation using Swagger to streamline team collaboration, reducing integration time by 30%- Collaborated with design teams using Figma to create responsive UI/UX prototypes, to ease the integration with front-end development for user-centric applications.

Education

• Savitribai Phule Pune University

  Bachelor of Engineering - BE

  2015 — 2019

• Santa Clara University

  Master of Science - MS

  2022 — 2024