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Debasish-87/README.md
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  • AI Platform Engineer building production AI infra with Python, Kubernetes, AWS & Terraform.
  • Open Source Contributor to Kubernetes, Falco and vLLM. Currently focused on LLMOps.

Merged in production codebases:

PR Description
kubernetes/autoscaler#9506 Fixed Exoscale instance pools ignoring minSize
kubernetes/autoscaler#9515 Added missing */scale RBAC in VPA Helm chart
vllm-project/vllm#48878 Added blocks_per_chunk config for KV cache offloading
falcosecurity/libs#2930 Fixed integer overflow in libsinsp thread memory calc
falcosecurity/libs#2926 Fixed file descriptor leak in scap_linux_get_threadlist

Pinned Loading

  1. multimodal-ai-agent multimodal-ai-agent Public

    Production-oriented Multimodal AI Agent built with FastAPI, LangGraph, Hybrid RAG, Qdrant, OpenAI, SQLAlchemy, and Cross-Encoder reranking.

    Python

  2. llmops-platform llmops-platform Public

    Production-ready LLMOps platform for deploying and managing AI applications on AWS using Terraform, Kubernetes, Helm, ArgoCD, GitHub Actions, Prometheus, and Grafana.

    HCL

  3. rag-eval-platform rag-eval-platform Public

    Production-ready RAG Evaluation Platform for benchmarking Retrieval-Augmented Generation systems with retrieval metrics, generation metrics, LLM-as-a-Judge evaluation, FastAPI, PostgreSQL, and Docker.

    Python 1

  4. qlora-llm-fine-tuning qlora-llm-fine-tuning Public

    Fine-tuned Qwen2.5-1.5B using QLoRA for multi-label customer support intent classification — 99.5% F1-score, 100% JSON validity, ~5x lower latency vs GPT-4-based routing.

    Python 1