Gaurav Rao

Built an AI SaaS platform for recruiters, automating job posting, AI-based interviews, and candidate profiling, which reduced manual effort by 80%. Architected the full stack using Next.js, Python, FastAPI, OpenAI APIs, Google Vision, and Azure CI/CD.

Delivered a CMS for agencies to manage over 500 properties with multi-user access and role-based permissions. Integrated with Wix Studio CMS and platforms like Property Finder, streamlining the listing flow.

Developed an AI SaaS platform for job seekers, offering resume optimization, ATS scoring, and automated job applications. Architected the full stack using Next.js, Python, FastAPI, OpenAI APIs, Temporal, GCP, and Cloud Run CI/CD.

Built and launched real-time online code collaboration for Openbracket, reducing latency by 40% and attracting 1,200+ trial users. Engineered a sandboxed code execution environment using Firecracker micro-VMs, cutting execution time to 3 seconds.

Led a 5-engineer team to deliver EkoStore, a gig economy platform processing 50K+ monthly transactions. Reduced checkout latency by 35% via API optimizations, boosting user retention by 15% quarter-over-quarter.

Designed tech solutions for healthcare administration, including SMS engagement and tele-visit appointments with 10-minute waiting rooms. Utilized ReactJS, TypeScript, TailwindCSS, Twilio Meeting Rooms API, and Google Dialogflow.

Explored the fintech space in India, focusing on personal finance assistant development. Participated in IIM-C APFFB 2019 to study fintech domains in the Indian financial landscape.

Designed and deployed 10+ DDOS mitigation templates for the aGalaxy platform, reducing false positives by 30%. Orchestrated SDN workflows that scaled to 50K+ devices, enabling automated attacks mitigation for enterprise clients.

Assisted in graduate-level coursework for Enterprise Software Development and Web Technologies. Conducted lab sessions, graded assignments, and mentored students on Java EE, Spring, and SQL concepts.

Developed automation scripts for log data parsing and threat detection workflows in enterprise security systems. Improved system alerting accuracy by 25% by optimizing pattern recognition modules in Javascript.

Completed an advanced program focusing on fintech and financial blockchain. Gained insights into the Indian financial landscape and fintech domains.

Pursued a Master of Science in Information Systems, with a focus on Enterprise Application Design & Development. Developed expertise in designing and building enterprise-level software solutions.

Obtained a Bachelor of Technology in Computer Science & Engineering. Acquired foundational knowledge and practical skills in various aspects of computer science.