tahnik@portfolio:~$ About
MLOps & AI Systems Performance Engineer building distributed ML infrastructure, LLM inference systems, and agentic AI platforms. Lead ML & DataOps Engineer at poridhi.io, leading engineering across four GPU-accelerated AI products serving 1,000+ users. Work spans CUDA kernel optimization and inference engine internals through to Kubernetes-based multi-agent deployment at scale, with consulting engagements across AI infrastructure and MLOps for startups and enterprises.

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• ML Systems & Serving (PyTorch, TensorFlow, vLLM, Triton, TorchServe, Ray, SageMaker)• GPU & Systems Performance (CUDA, Triton kernel, CUTLASS, NCCL, Nsight Systems/Compute)• LLMOps & AI Engineering (LangChain, LangGraph, AWS Bedrock, Langfuse)• Cloud & Data Engineering (Kubernetes, EKS, AKS, Docker, Kafka, Spark, Airflow)• AI Infrastructure & Agentic Systems (eBPF telemetry, multi-agent orchestration, K8s deployment)• Languages: Python, TypeScript, SQL
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ML/AI FrameworksPyTorch
vLLM
CUDA
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InfrastructureKubernetes
Docker
EKS
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GPU & SystemsCUDA
Triton
NCCL
University of Dhaka — MBA, Management Information Systems (CGPA: 3.30) | 2024–2025University of Dhaka — BBA, Management Information Systems (CGPA: 3.04) | 2019–2023Specialization: System Analysis & Design, Advanced Networking, Data Mining
Download Resume (Updated February 2026)