नमस्ते🙏, I am Ayush OswalBackend Developer & AI enthusiast.
नमस्ते🙏, I am Ayush Oswal
Full Stack Developer passionate about building cool web applications and solving DSA problems.
About
As a Backend Developer, I am passionate about building scalable backend systems. I am quick to learn new technologies and explore tech stacks. Also I love solving challenging DSA problems. Hit me up for badminton 🏸 or a quick chess ♟️ match. Currently learning about AI and awaiting building a SAAS product. Thank you for visiting!
My Skills
Experience
SDE Intern (Backend) Dec 2024 – Present
Azodha Pune, India (Hybrid)
- Assisted with the integration of OpenEMR and ECW systems into our platform for smooth data sharing.
- Developed custom logic for Welkin EMR, allowing automatic creation of 100ms links for patient sessions.
- Contributed to building Voice Agents with LiveKit, Deepgram, and OpenAI's realtime model for automating reminders and verifying users.
- Helped design and deploy RBAC middleware to protect patient information, maintaining HIPAA standards and blocking unauthorized entry in EMR setups.
- Set up a token caching system for Lambda using DynamoDB to optimize expenses.
- Worked together on integrating Zoho Desk and CRM with our system.
- Created automated processes for handling Zoho ticket generation and scheduling recurring appointments.
- Engaged in production support and troubleshooting with DataDog and Signoz logs, aiding in fixing key problems.
- Improved database efficiency by examining Prisma queries via explain analyze, boosting response times by 20% through better indexing.
- Refactored legacy code to meet industry best practices and teamed up with experienced engineers on designing features and architecture.
Founder - YourBot
System Design, AWS Lambda, S3, SQS, ECR, SAM, FastAPI, Pinecone, PostgreSQL
- Designed a serverless microservices setup with 3 AWS Lambda services via SAM templates and ECR, cutting infrastructure costs by 600%.
- Created custom shell scripts to adapt Prisma binaries for Lambda compatibility and implemented AWS Lambda web adapter for streaming responses.
- Built an advanced RAG pipeline using JinaAI embeddings and Pinecone vector database for semantic searches, handling PDF/text with a 0.20 similarity threshold.
- Added a multi-LLM fallback system with DeepSeek as main and Gemini 2.0 as secondary to maintain service during rate limits.
- Developed a full token economy system providing 25,000 default tokens per user, tracking usage, and sending alerts through SMTP email.
- Implemented an API key-based chatbot integration with an analytics dashboard for monitoring interactions and easy website embedding.
- Incorporated SQS queues featuring retry mechanisms and DLQs for reliable, fault-tolerant operations.
- Introduced a contextualized chunking approach with 50 chunk overlap to preserve chunk relationships and enhance retrieval speed by 25%.
Projects
Here are a few of my projects showcasing my skills accross a variety of functionalities and tech-stacks.
Twitter Automation MCP
Developed an open-source MCP server on NPM for easy Twitter automation in AI agents like Claude, with Gemini 2.0 Flash image generation, URL media, and thread support. Boosted twitter engagement of users by 150% open-sourced on GitHub, gaining developer traction for AI-Twitter integration. Integrated Twitter API v2 for media uploads, length validation (under 280 chars), and friendly error handling for credentials/API issues. Supports functions such as post tweet, generate image and use image from url, with thread support.
NPM
MCP
Twitter API
Gemini
TypeScript
Node.js
Docker
Calm Down
