Software Engineer | AI Automation Architect | Meeting Intelligence Pioneer
Inventor. Builder. Automator. Problem-Solver.
Iβm the kind of engineer who doesnβt just dream up future techβI bring it to life, one pull request at a time.
- π§ I build brains for bots and digital assistants that actually understand meetings, not just transcribe them.
- π¦ My code powers browser extensions, real-time chatbot widgets, and AI note-takers that turn chaos into clarity.
- π οΈ I craft solutions for the unsung heroes: CSMs, Project Managers, and (soon) Sales Managersβpeople who need insight, not just information.
- βοΈ My playgrounds: JavaScript, Python, Docker, Azure & GCP.
- π If it solves a real problem, I want to build it. If it makes your day easier, I want to hear about it.
- π€ Always up for new ideas, wild prototypes, and building things that actually get used.
TL;DR: I turn real problems into real productsβand have a blast doing it.
A robust, cloud-native solution that transforms customer success management and meetings with AI-powered conversation analysis and real-time intelligence.
Key Achievements:
- π€ Built RAG (Retrieval Augmented Generation) pipelines, Azure OpenAI GPT integration, vector search, and live chat with transcript analysis
- π οΈ Designed a microservices architecture (Django, Chainlit, ChromaDB, Redis, NGINX, Docker, Azure)
- π Integrated OAuth2 (Zoom, Recall.ai, Deepgram), and real-time WebSocket services
- π Deployed cloud-native, auto-scaling infrastructure with CI/CD, blue-green deployments, and Infrastructure as Code (Terraform)
π₯οΈ Read more about system architecture, AI, and DevOps
- Microservices: NGINX, Django (WSGI/ASGI), Chainlit, Redis, PostgreSQL, RQ, ChromaDB
- AI/ML: LangChain RAG, GPT-powered chat, FAQ generation, sentiment analysis, real-time document indexing
- Realtime systems: Django Channels, async WebSockets, live transcript and chat
- DevOps: Docker Compose, NGINX, Azure Container Apps, Terraform, CI/CD automation
- Integrations: OAuth2 (Zoom), Recall.ai, Deepgram, Google SSO, Unstructured API
- Data engineering: ChromaDB for vector search, async ETL pipelines, 23+ schema migrations, multi-tenant architecture
- π€ Intelligent Meeting Bots: Auto-join, transcribe, and analyze meetings in real time using Recall.AI, LangChain, and Gemini.
- π§ AI Orchestration: Event-driven, multi-stage AI pipelines for extracting, summarizing, and acting on meeting content.
- π Semantic Search: Vector database (ChromaDB/Milvus) for RAG-powered chat and cross-project knowledge retrieval.
- π Project Intelligence Dashboards: Multi-project, multi-tenant analytics and automated follow-up.
- π Robust Security: OAuth, SSO, and role-based access.
- ποΈ Cloud-Native, Event-Driven Infrastructure: Scalable, resilient, and automated with Pub/Sub, Docker, Cloud Run, and Terraform.
- π 50+ API endpoints, 23+ DB migrations, multi-tenant architecture
- π Real-time, event-driven processing with Pub/Sub and async pipelines
- π§ͺ Automated test generation, blue-green CI/CD, Infrastructure as Code
- π Cloud-native deployments with auto-scaling and robust monitoring
Disclaimer: Stats below are just my personal GitHub account. Most of my wizardry happens on company accounts and private reposβso these numbers are like the tip of the coding iceberg π§π§.
- π₯ Building scalable web applications with Python, TypeScript, and JavaScript
- π Exploring new AI frameworks (LangChain, Chainlit) and cloud platforms
- π€ Open to collaborating on exciting projectsβespecially in AI/ML and real-time systems