whoami
Lakshay Garg
Full-Stack Developer · DevOps
I build fast, fault-tolerant systems end to end — backend APIs, LLM/RAG pipelines, and the AWS infra that scales them.
about
Software Engineering from DTU and a full-stack developer who likes the hard parts — caching, queues, real-time pipelines, LLM/RAG systems, and making AI responses snappy.
Solid across the stack: backend APIs and RAG on one end, and the DevOps that ships them on the other — AWS scaling, load balancing, firewalls, EC2/S3, Terraform, and GitHub Actions CI/CD.
I've shipped real-time scoring engines, AI-powered WhatsApp products, and infra that scales under load without dropping a beat. Off the keyboard you'll find me trading markets, behind a camera, or on a volleyball / pickleball court.
work
- Built Instant Matchmaking features and optimized matching workflows.
- Automated the end-to-end weekly matchmaking workflow, cutting manual effort and operational overhead.
- Improved AI response latency using regional Amazon Bedrock Haiku deployments to reduce inference round-trip times.
- Implemented Temporal workflows for scheduled jobs, background processing, and fault-tolerant task execution.
- Tracked the Brazilian fixed income market, focusing on interest rates and bond movements.
- Practiced trading strategies and analyzed market trends to deepen understanding of futures and FI markets.
- Developed features for an AI-powered WhatsApp-based property discovery platform — search and explore real estate via natural language.
- Built backend services for seamless property search, listing retrieval, and user engagement inside WhatsApp.
- Implemented vector search and semantic retrieval to push relevance beyond keyword-based matching.
- Built a real-time sports live-scoring backend with Redis, MongoDB, and Socket.io for instant updates.
- Optimized data pipelines for low-latency, accurate score processing.
- Deployed and maintained on AWS EC2 with high availability and scalability.
- Worked with Redis for caching, session management, and real-time data processing.
- Explored Elasticsearch for full-text search, indexing, and analytics.
- Hands-on with AWS (EC2, S3, Load Balancing); ran a RIOT migration for millions of keys.
- Built and maintained backend APIs with Node.js and MongoDB; job scheduling via Redis BullQueue for notifications, events, and feeds.
projects
tradingtiers.com — a platform to learn trading and markets.
- Built a robust backend with the team, reducing response time by 20% using WebSockets.
- Designed a responsive, interactive frontend with HTML5, CSS3, and JavaScript.
Efficient file transfer across devices over Wi-Fi.
- React.js app with a real-time backend for seamless file sharing.
- Deployed on AWS EC2 with scalable cloud storage.
- Cross-platform sharing over Wi-Fi using WebSockets and a custom mini-repo system.
A conversational AI assistant living inside WhatsApp.
- Node.js backend handling user requests, routes, and data filtering.
- Integrated OpenAI's ChatGPT for conversational AI.
- Enabled YouTube downloads, news search, and weather forecasting via the bot.
skills
education
achievements
- 600+ problems solved on LeetCode
- Top 10 teams at Vihaan Hackathon 6.0
interests
- Photography
- Trading
- Chess
- Volleyball
- Pickleball
contact
- lakshaygargd@gmail.com
- Delhi, India