About Me
I am a Software Engineer specializing in building high-performance, scalable full-stack applications. With hands-on experience in modern web frameworks, distributed systems architecture, and cloud infrastructure, I've delivered solutions ranging from AI-powered conversational platforms to enterprise-grade streaming services. My work spans frontend development with React and Next.js, backend systems design for low-latency workloads, AWS cloud operations, and even cutting-edge quantum computing integration. I'm passionate about writing clean, maintainable code, mentoring teams, and driving operational excellence to deliver reliable, user-focused products.
Full-stack engineer building scalable web applications with React 18, Next.js 15, and TypeScript
Backend systems architect specializing in distributed, high-concurrency AI-driven applications
Cloud infrastructure expert with AWS (EC2, Lambda, CloudWatch, S3, RDS/Aurora)
Experience integrating quantum computing backends for hybrid computation workflows
Support engineering background with 99.99% reliability maintenance and 30% MTTR reduction
Strong focus on performance optimization, SEO, accessibility, and operational excellence
Work Experience
Software Engineer
Career Manzil Inc.
- Designed and delivered scalable full-stack web applications using React 18, Next.js 15, and TypeScript, improving user engagement with responsive and high-performing UIs
- Built secure authentication and authorization systems with JWT, integrating REST APIs for seamless data flow across services
- Enhanced frontend performance, SEO optimization, and accessibility compliance, ensuring fast, inclusive user experiences across devices
- Implemented interactive dashboards and visualizations with Recharts to display real-time data and improve customer insights
- Integrated quantum backends into select workflows, enabling experimentation with hybrid quantum-classical computation for optimization and data processing tasks
- Collaborated with quantum engineers to design APIs that abstracted backend complexities, making quantum services accessible from web applications
- Mentored junior developers on frontend best practices and conducted peer code reviews to maintain coding standards and improve team velocity
Software Engineer
Whispering AI
- Architected and implemented distributed backend systems supporting AI-driven conversational features with a focus on low-latency, high-concurrency workloads
- Built real-time data pipelines and fault-tolerant services that sustained performance even under peak traffic conditions
- Deployed and monitored services using AWS Lightsail, Lambda, and CloudWatch, ensuring system reliability and uptime
- Applied advanced data structures and algorithms to optimize query handling and system responsiveness
- Established unit testing, CI/CD pipelines, and schema optimization practices, improving release reliability and reducing production issues
Support Engineer
Comprobase, Inc.
- Owned end-to-end monitoring of AWS EC2 and Lightsail-hosted services, ensuring uptime during customer-facing applications and live event-driven workloads
- Built Python and Node.js automation scripts to monitor streaming health, integrate CloudWatch alerts into incident management tools, and reduce mean time to resolution (MTTR) by 30%
- Provided live support during high-severity events, handling on-call escalations, mitigating outages, and conducting root cause analysis with follow-up reports for leadership
- Supported AWS environments across CloudFront (CDN for media delivery), S3 (video storage workflows), and RDS/Aurora (data pipelines) to maintain 99.99% reliability
- Developed runbooks and knowledge base articles for recurring live streaming and hosting issues, improving Tier-1 resolution rates by 25%
- Collaborated with internal teams and external partners on customer migration and video delivery optimization projects, applying operational excellence best practices
Developer/Debugger
Hyderabad City Police and WeHub
- Developed "SoundTrap" IoT product using Raspberry Pi, Python, and OpenCV
- Debugged and resolved issues improving detection accuracy by 15%
- Received ₹100,000 for project R&D
Developer
R&D Department, MJCET
- Developed a Smart Mirror application using Raspberry Pi, integrating Google Assistant for real-time task management
- Designed and implemented a custom UI for mirror display with voice commands and gesture recognition
- Optimized system performance, reducing lag time by 25% through efficient code debugging and hardware integration