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tanvir-ux/README.md

Md Tanvir Alam

CTO at Alawaf Technologies Limited · Dhaka, Bangladesh

I am a hands-on software engineer. On GitHub since December 2014. Website

Previously worked as a contractor customizing Oracle FLEXCUBE for Bank Danamon Indonesia and SMBC Singapore.

Current focus

  • AI tooling, including agents, retrieval, and MCP
  • Banking and distributed systems
  • Cybersecurity and digital forensics

Selected projects

Original portfolio demos.

AI tooling

  • ai-engineering-stack — Knowledge-copilot demo across the UI, sign-in, API, agent workflow, retrieval, and deployment. The project README says what was run and what was only validated. Recorded replay.
  • agent-platform — One support task across several agent frameworks, with FastAPI, MCP, and A2A. Demo.
  • graphrag-service — GraphRAG and vector RAG, with an evaluation harness. Demo.
  • llm-finetune-serve — CPU LoRA fine-tune of SmolLM2 and an OpenAI-compatible server. Demo.

Banking and distributed systems

  • agentic-mcp-gateway — MCP server and RAG tools for documents, mock payments, and tickets. The default path runs without an API key.
  • banking-payments-spring — Spring Boot 3 payments API with JWT, idempotency, Kafka, and ISO 20022-inspired messages.
  • kafka-spring-microservices — Transfer API, double-entry ledger, and notifications over Kafka, with Docker Compose and Kubernetes manifests.

Open source

Recent fixes in Meta Infer, Google Gson, and Google Auto.

Project Fix Link
Meta Infer Track streams from Socket.getInputStream and getOutputStream in Pulse #2302
Meta Infer Track Deflater and Inflater as native resources in Pulse #2275
Google Gson Record the JSON path after promoteNameToValue #3098
Google Auto Copy javax and jakarta @Qualifier onto generated AutoFactory parameters commit d10c050

All merged pull requests · GitRanks profile

Pinned Loading

  1. agent-platform agent-platform Public

    One support task, eight agent frameworks (LangGraph, ADK, OpenAI Agents, MS Agent Framework, AutoGen, Semantic Kernel, CrewAI) behind FastAPI, MCP and A2A

    Python

  2. ai-automation-workflow-demo ai-automation-workflow-demo Public

    FastAPI AI automation demo: tool-calling agent + multi-step workflow runner (CRM, email, tickets, webhooks). Stub LLM by default.

    Python

  3. ai-engineering-stack ai-engineering-stack Public

    End-to-end AI engineering stack: React, OIDC auth, FastAPI, LangGraph, Agents SDK, MCP, PySpark/Delta, Databricks, Snowflake, Pinecone/FAISS, evals, K8s, Terraform, CI

    Python

  4. crewai-multi-agent-demo crewai-multi-agent-demo Public

    Upwork demo skeleton — see README

    Python

  5. llm-finetune-serve llm-finetune-serve Public

    LoRA fine-tuning of SmolLM2 on CPU with PyTorch + PEFT, OpenAI-compatible server, vLLM config, SageMaker and Vertex AI deploy code. Live demo in the README.

    Python

  6. meta/infer meta/infer Public

    A static analyzer for Java, C, C++, and Objective-C

    OCaml 15.8k 2.1k