About
Highly accomplished and results-driven Founding Software Engineer with a Master's in Computer Science, specializing in full-stack development, cloud-native architectures, and real-time systems. Proven expertise in leading end-to-end product development, architecting scalable microservices, and optimizing system performance and reliability. Adept at leveraging a diverse tech stack including React, Node.js, Go, Python, and AWS to deliver innovative solutions and drive significant business impact.
Work
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Summary
Led end-to-end development and architected scalable microservices for core products in a fast-paced startup, significantly enhancing system reliability and throughput.
Highlights
Spearheaded end-to-end development for three flagship products (Notation AI, Scrubber, Fownd Website) leveraging React, Go, Electron, and FastAPI, accelerating high-quality product releases in a dynamic startup environment.
Designed and implemented a scalable multi-service microservices architecture for the Notation AI product, enabling real-time audio/video streaming (WebSocket, WebRTC) and managing data-intensive workflows with AWS S3 and SQS.
Built a robust, production-ready React frontend with seamless WebSocket integration for real-time audio transcription and dynamic updates, displaying ML-driven "Subjective" content.
Engineered advanced video processing pipelines by integrating a PoseNet bounding box model into a custom Go WebRTC server, facilitating efficient transmission of video streams and keypoint data to AWS S3 and SQS for ML processing.
Spearheaded cloud-native deployments using Docker, ALB for HTTP, NLB for UDP streaming, and EC2 auto-scaling, significantly improving system reliability and throughput.
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Summary
Developed and maintained interactive web platforms and scalable backends, including automated CI/CD pipelines, to deliver valuable data insights and improve deployment efficiency.
Highlights
Developed an interactive web platform using React, TypeScript, and Map Box, leveraging RESTful endpoints to enable seamless retrieval of over 150,000 road segment points.
Crafted a scalable backend utilizing AWS Lambda for automated fetching of spatial data from AWS RDS and external sources, delivering valuable spatial insights to users.
Designed robust REST APIs and developed Python-based data crawlers for AWS, automating data updates via CRON jobs; utilized data visualizations to identify significant trends and uncover high emission sources.
Established and maintained automated CI/CD pipelines with GitHub Actions and AWS, reducing production deployment time by 70% and enhancing testing infrastructure reliability.
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Summary
Conducted advanced data analysis and developed interactive dashboards to transform complex scientific data into actionable insights for stakeholders.
Highlights
Conducted advanced data querying and exploratory analysis on large datasets from Amazon RDS (PostgreSQL), collaborating effectively with cross-functional teams.
Utilized Tableau to create visually compelling dashboards and developed an automated Metabase dashboard and interactive website, converting complex air pollution data into actionable insights for stakeholders.
Languages
English
Fluent
Skills
Languages
Python, JavaScript, TypeScript, Java, Golang.
Databases
MongoDB, PostgreSQL, MySQL, Firebase, Redis Database.
Web Development
React, Angular, Next.js, GraphQL, React Native, WebSocket, Node.js, Tailwind CSS, FastAPI, Django, Flask, Bootstrap, HTML, CSS, Styled Components.
Cloud & DevOps
AWS (EC2, RDS, S3, ECR, ALB, Lambda), CI/CD, Docker, GitHub Actions.
Tools & Technologies
Android Studio, Tableau, Power BI, Figma, Electron, WebRTC, PoseNet, Metabase, Jest, React Testing Library, CRON jobs, Stripe API, Google Provider API, Ticketmaster API, XML.