Usman Malik

Summary

AI engineer with nearly 8 years in applied AI (6+ as a hands-on ML engineer), spanning computer vision and production LLM systems. I find where AI automation saves companies money, then research, build, and integrate it. Cut LLM costs by 50–60% across several use cases and raised computer vision throughput 4× per camera. Experienced leading engineers and running AI research. Open to remote roles and AI consulting.

Core Skills

LLMs & Agents:

RAG, Agentic workflows, CrewAI, MCP, LLM evaluation, Prompt engineering, Fine-tuning, OpenAI Assistants API, GPT, Gemini, Llama, Mistral, DeepSeek

Computer Vision:

DeepStream, Triton, TensorRT, NVIDIA TAO, YOLO, SAM, VLMs, Pose estimation, OCR, OpenCV, Jetson

LLM Infra & Cloud:

Vertex AI, Azure, AWS Bedrock, S3, Ollama, vLLM, Docker, Jenkins CI/CD

Engineering:

Python, C++, Django, Kafka, Redis, PyTorch, TensorFlow, Git/GitLab

MLOps & Data:

DVC, Weights & Biases, ClearML, Unit & E2E tests for AI, Synthetic data, Annotation pipelines

Leadership:

Team leadership, Mentoring, AI research process, AI workshops, Responsible AI, Client reporting

Experience

1. Enghouse Interactive

   May 2024 — Present · Remote

   Senior Software Engineer · AI/ML R&D

   • Lead LLM R&D — benchmark closed and open-source models (Gemini, GPT, Llama, Mistral, DeepSeek) on Vertex AI, Azure, AWS and locally via Ollama/vLLM, cutting model costs 50–60% across several use cases.
   • Build agentic assistants and RAG pipelines that give customer service agents accurate, context-aware answers from knowledge bases.
   • Designed unit and end-to-end tests plus an automated evaluation framework for LLM services; set up Jenkins CI/CD across GCP, Azure and AWS.
   • Built pose-estimation patient fall detection deployed on Jetson edge devices in hospital rooms.
   • Lead a two-person ML team, build internal AI tools for the engineering org and run workshops on responsible AI usage.

2. Risely (YC S25) (Contract)

   Jun 2025 — Aug 2025 · Remote

   Lead AI Engineer

   • Led backend engineering (Django, database design) for an agentic AI platform automating university operations, with staff approving key actions.
   • Built multi-agent workflows with CrewAI and connected MCP servers so agents work from real institutional data.
   • Designed a prompt optimiser to improve and standardise system prompts across the product.

3. DP World (Contract via Nityo Infotech)

   Jul 2024 — Jun 2025 · Remote

   AI Engineer · Computer Vision

   • Increased inference throughput 4× per camera by moving pipelines from Triton to DeepStream, retraining and converting models.
   • Wrote C++ extensions to extract frames and detections from DeepStream pipelines and stream them to Redis and Kafka.
   • Built a face detection pipeline and a live livestock counting application; delivered client POCs and managed large-scale video storage.
   • Deployed and tested Llama 90B VLMs on-premise for fire and smoke detection in difficult scenes.

4. DARVIS

   Nov 2018 — Dec 2023 · United States · Remote

   Senior Machine Learning Engineer

   Oct 2021 — Dec 2023

   • Led junior and mid-level computer vision engineers on real-time detection, tracking and pose-estimation client deployments.
   • Built GPT-4 chatbots, fine-tuned LLaMA-2 to turn CV output into real-time analytics and cut document processing time 25% with a GPT-3.5 Turbo pipeline.
   • Optimised deployment with DeepStream, TensorRT and TAO on Jetson, running multiple models per GPU; applied SAM, YOLO, zero-shot depth estimation and PTZ camera integration.

   Machine Learning Engineer

   Oct 2020 — Sep 2021

   • Trained and deployed 400+ models (detection, classification, segmentation, pose), retrained on new client data and shipped in Docker on cloud.
   • Built 2D/3D action recognition pipelines on DeepStream; ran real-vs-synthetic data research and super-resolution for OCR.

   Annotation Team Lead

   Nov 2018 — Sep 2020

   • Built the annotation pipeline from data acquisition to delivery and led the annotation team.
   • Set up remote annotation tooling on AWS, custom tools and dataset version control.

5. LangSpire

   Jun 2017 — Sep 2018 · Islamabad

   Web Developer

   • Developed and maintained the company website.
   • Worked with the back-end team to build an online HRMS system.

Education