Ritvik Shukla
Full Stack Engineer · Cloud Infrastructure · AI Applications
Technical Skills
Languages: Python, JavaScript, Java, Go, TypeScript
Backend: Node.js, Express.js, Nest.js, KTor, Spring Boot, Django, Flask
Frontend: HTML, CSS, React.js, Redux, Next.js, Svelte, Vue.js
Testing: Cypress, Pytest, React Testing Library, Mocha, Chai
Databases: MariaDB, PostgreSQL, MongoDB, MySQL
Others: Docker, Redis, Airtable, Kubernetes, Airflow, RabbitMQ, AWS, Terraform, Ansible
Work Experience
Founding Engineer
Dunes Ventures
- • Designed and implemented an AI-powered workspace with multi-agent orchestration, enabling coordinated task execution across specialized agents with shared context, state management, and deterministic handoffs.
- • Architected and built a production-grade RAG pipeline featuring dynamic query classification, multi-language support (50+ languages), context-aware response synthesis, real-time knowledge base ingestion, embedding-based similarity search with configurable thresholds, and intelligent reranking for high-precision retrieval.
- • Developed a Financial Modeller Agent leveraging LLMs and automated spreadsheet generation to produce end-to-end financial models, including dynamic projections, scenario analysis, unit economics, and auto-generated charts and visualizations for founder decision-making.
- • Built a fault-tolerant, distributed notification system using Amazon SQS for decoupled messaging, AWS Lambda consumers with retry and exponential backoff, Amazon SES for transactional email delivery, and Firebase Cloud Messaging for reliable cross-platform push notifications.
- • Implemented an event-driven architecture using Amazon EventBridge with cross-account event routing, rule-based filtering, event archiving with 3-day retention, and seamless integration across AWS MediaConvert, AWS Transcribe, and downstream asynchronous processing pipelines.
- • Engineered a scalable vector processing pipeline leveraging Amazon SQS (14-day message retention), long-running AWS Lambda processors (900s timeout, 1024MB memory), Amazon Bedrock for embedding generation, and Amazon S3 with versioning and automated lifecycle policies.
- • Integrated multi-modal AI capabilities including Text-to-Speech (TTS), Speech-to-Text (STT), and Image Generation using foundation models, enabling voice-driven interactions, real-time transcription workflows, and dynamic visual content generation.
- • Implemented real-time frontend updates using Server-Sent Events (SSE), streaming live processing status, intermediate agent states, and task completion signals to the client.
- • Implemented advanced observability and LLM monitoring using Langfuse, providing end-to-end tracing, structured request logging, token usage analytics, latency measurement, and error rate monitoring across all AI workflows.
Founding Engineer
Navicater Solutions
- • Led end-to-end development of a mariner-focused social platform using React Native, LLMs, and a high-performance Fastify backend integrated with AI-driven services.
- • Designed and built a B2B analytics and operations dashboard using Next.js, Vercel AI SDK, and LLMs, enabling intelligent workflows and actionable insights for maritime enterprises.
- • Automated multi-platform mobile application releases for Play Store and App Store using custom GitHub Actions, significantly reducing release cycles and deployment errors.
- • Optimized containerized build and deployment workflows to DigitalOcean Container Registry and Kubernetes using GitHub Actions, Helm, and environment-specific deployment strategies.
- • Provisioned and managed cloud infrastructure using AWS CDK, authored reusable Helm charts, and implemented secure, end-to-end CI/CD pipelines with AWS CodePipeline and AWS CodeDeploy.
- • Developed an AI-powered conversational assistant using FastAPI and Retrieval-Augmented Generation (RAG) to support maritime operations, knowledge retrieval, and real-time troubleshooting.
Senior Engineer
tryCoM AI
- • Architected and maintained end-to-end backend systems, infrastructure, and CI/CD pipelines across AWS EC2, Firebase Hosting, Docker, Nginx, GitHub Actions, AWS CodeDeploy, and AWS CodePipeline, achieving 99.9% uptime.
- • Designed and implemented secure authentication and access control using SSO for AdMakerHQ.
- • Engineered multi-platform social media automation by integrating the Facebook Graph API and extending support to Instagram, Facebook, YouTube, and Google My Business (GMB), enabling large-scale post creation, scheduling, and publishing.
- • Built and optimized data pipelines including high-throughput web scraping using Selenium and Beautiful Soup (reducing manual effort by 70%) and workflow orchestration with Apache Airflow, improving ETL efficiency by 40%.
- • Developed analytics and insights APIs delivering real-time engagement and growth metrics, enabling data-driven optimization of social media strategies.
- • Led frontend performance and UX improvements using Redux Toolkit, Zustand, and Tanstack Query, implementing optimistic updates and resolving critical rendering issues.
- • Diagnosed and resolved critical performance and stability issues, including memory leaks and OOM errors, and optimized Docker images from 1.7GB to 458MB (70%+ reduction).
- • Developed and deployed AI-powered ad generation systems (audio with multi-voice models and image ads), enabling hundreds of ads to be generated within seconds.
Software Development Engineer
Blaze AI (YC W22)
- • Built and optimized scalable data pipelines for automated ingestion, cleaning, and transformation into Snowflake, using advanced Airflow DAGs to streamline scraping and processing workflows.
- • Integrated public Twitter APIs to enrich blockchain wallet mapping datasets and contributed to the Blaze Admin application using Next.js.
Software Development Engineer
Alemeno
- • Led development of customer-facing platforms including the SonicCloud website and a scalable SaaS solution for laboratory testing, driving up to 40% improvements in engagement and operational efficiency.
- • Built real-time analytics dashboards and enforced high code quality through comprehensive testing using pytest and Jest.
Software Development Engineer
Blaze AI (YC W22)
- • Automated large-scale data collection and usage monitoring with Airflow, including scraping over 45M records and integrating real-time reporting with Slack, reducing manual effort by 50%.
- • Developed full-stack data products and visualizations that strengthened lead generation, improved conversion insights, and contributed to achieving 2nd place on Product Hunt.
Co-Founder
WebX DAO
- • Co-founded and led WebX DAO from 2020–2024, building and growing an open-source Web3 community focused on blockchain, DeFi, metaverse, and emerging web technologies.
- • Fostered long-term collaboration among developers, creators, and blockchain enthusiasts through community-driven initiatives, discussions, and learning programs.
- • Built and maintained a comprehensive documentation and learning portal using Docusaurus, curating tutorials, guides, and resources for Web3 and blockchain development.
- • Part of DevNFT, an experimental NFT initiative designed to engage and reward open source developers.
- • Developed a Telegram bot to automate community management, handle member queries, and streamline moderation and admin workflows.
Projects
- • Built an end-to-end Adaptive Bitrate Streaming (ABR) system using HLS, enabling smooth, high-quality video playback across devices and fluctuating network conditions.
- • Designed and deployed a secure, scalable AWS architecture using VPC, S3, Lambda, SQS, ECS/ECR, CloudFormation, and CloudWatch with load balancing and secrets management.
Honours and Awards
Won $5,500 in total prizes, including $500 at the Polygon BUIDL IT Hackathon and $5,000 for DevNFT selected by the Filecoin Accelerator.
Secured 2nd place at the Blaze API Hackathon, winning INR 21,000 for building an ENS-based crypto portfolio visualizer.
Education
B.Tech in Computer Science & Engineering
Central University of Rajasthan, Ajmer
CGPA: 8.49 / 10