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TechReporter/README.md

Hi there, I'm Tanmoy Dasgupta ๐Ÿš€

๐Ÿง‘โ€๐Ÿ’ป Staff Engineer @ Warner Bros. Discovery
๐ŸŽ“ M.S. in Software Systems (Data Analytics) @ BITS Pilani
๐Ÿง  Building LLM-based Architectures โ€ข Scalable Distributed Systems โ€ข Obs & Analytics Platforms

LinkedIn LeetCode Twitter Blog Portfolio


๐Ÿ‘จโ€๐Ÿš€ About Me

I'm a passionate software engineer with a deep interest in designing scalable, fault-tolerant distributed systems. My current focus is on leveraging LLMs, Agentic AI, and GenAI techniques to build intelligent backend platforms. I love architecting, debugging, scaling, and brainstorming large scale systems that solve real business problems.

๐Ÿ’ก "Fail Fast, Learn Quick"

๐Ÿง  Currently Exploring:
LLMs ยท Agentic AI ยท Transformers ยท Observability ยท Distributed Tracing ยท System Design at Scale

๐Ÿ”ฎ Future Focus Areas:
Blockchain ยท RAG Pipelines ยท Web3 for Scalable Knowledge Access

๐Ÿงฉ Fun Fact: I love to brainstorm on complex systems and scale them for business needs.


๐Ÿง  Tech Stack

๐Ÿ‘จโ€๐Ÿ’ป Languages

Python C# Java JavaScript Bash

๐Ÿ›  Frameworks & Platforms

ASP.NET Core LangChain PyTorch scikit-learn

โ˜๏ธ Cloud & DevOps

Azure Docker Kubernetes Jenkins GitHub Actions

๐Ÿงฑ Databases

PostgreSQL MySQL MongoDB Pinecone

๐Ÿ” Observability Tools

Prometheus Grafana Jaeger OpenTelemetry


๐Ÿง  Featured Projects (Just Examples โ€“ replace with real ones)

  • ๐Ÿ” LLM-RAG-Search: Retrieval-Augmented Generation pipeline using LangChain + Pinecone + OpenAI
  • ๐Ÿง  CryptoBrain: Time-series crypto price prediction with LSTM & PyTorch
  • ๐Ÿ› ๏ธ SystemObserver: Distributed tracing dashboard using OpenTelemetry + Grafana + Jaeger
  • ๐Ÿงฌ AgentOps: GenAI agent pipeline for automating system alerts & RCA

๐Ÿ“Š GitHub Stats


๐Ÿ† GitHub Trophy Cabinet


๐Ÿš€ Let's Build the Future

If you're building the next-gen ML platform, high-scale architecture, or just want to geek out about observability or LLMs โ€” letโ€™s connect!


โšก Powered by Passion + Python + Prometheus + PyTorch

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