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Subtain Malik

Senior Machine Learning Engineer

Building scalable AI systems that drive measurable business impact

About Me

Senior Machine Learning Engineer with 5+ years of experience building production AI systems for enterprise clients such as USPS and Airbus. Expertise in LLM and Computer Vision pipelines, processing 100K+ daily requests with 23× faster inference. Specializes in scalable, high-performance ML solutions that drive measurable business impact.

Technical Skills

Languages

Python, C/C++, Javascript, GO, SQL, NoSQL

Technologies

Machine Learning, DeepLearning, PyTorch, Tensorflow, Computer Vision, LLM, HuggingFace, LangChain, LangGraph, TensorRT, Deepstream, Triton Server, Milvus, Numpy, Pandas, Scikit-learn, FastAPI, Kafka, Elasticsearch, Redis, Docker, AWS, Azure

5+ Years Experience
100K+ Daily LLM Requests
2.3M+ Images analyzed per month

Work Experience

Pioneered military-grade satellite imagery analysis systems with small object detection achieving 95% accuracy. Built AI diagnostic tools for dermatology and enhanced geospatial monitoring capabilities by 35%.

Jun 2019 - Dec 2021
Machine Learning Engineer
CENTAIC

Engineered enterprise analytics chatbots with LangChain and GPT-4, achieving 40% faster data retrieval. Built centralized AI model platform with automated CI/CD pipelines and optimized video analytics processing with custom NVIDIA DeepStream plugins.

Dec 2021 - Dec 2023
Machine Learning Engineer
Darvis

Leading AI development with Agentic AI applications and fine-tuned LLMs achieving 23x faster inference. Architected high-performance AI pipelines processing 100K+ daily requests and built computer vision solutions analyzing 2.3M+ images monthly.

Jan 2024 - Present
Senior ML Engineer (Team Lead)
Rapidev

Featured Projects

A-Cube

Multi Agent System

A multi-agent system using LangGraph, Ollama, Vector Database, face and voice recognition to extract user-relevant information and respond to queries accordingly.

LLM LangGraph Vector DB

OWLSENSE

AI-based Social Media Analysis

Developed complete architecture for AI-based social media analysis including LLM, Transcription, Image Captioning, and Multi-lingual Media Analysis.

LLM Image Captioning Transcription

OmniRoom

Video Analytics Optimization

Implemented Gstreamer plugins and deployed segmentation + pose-estimation YOLO models on Deepstream to optimize FPS of computer vision systems.

Deepstream YOLO Gstreamer

SMART

Surveillance Monitoring System

Surveillance-based system with ROI-based tracking and monitoring of sensitive areas and activity recognition.

Computer Vision Activity Recognition ROI Tracking

Auto Annotation Tool

AI-Assisted Data Labeling

Engineered feature matching, interactive segmentation, SAM and YOLO-based auto-annotation tool for efficient data labeling.

SAM YOLO Feature Matching

AIRAF

Aerial Imagery Research & Analysis Framework

Detect small objects in satellite imagery using YOLO/YOLT architecture, achieving 95% detection accuracy for objects under 10 pixels and reducing analysis time by 80%.

Computer Vision YOLO Satellite Imagery

Education & Certifications

Education 🎖️

MS CS&E | Gold Medal

National University of Science and Technology (NUST)

CGPA: 4.0/4.0

Graduation: Dec 2021

Certifications 📋

  • Tensorflow Certified Developer
  • HuggingFace Agentic AI Certification
  • PyCon Speaker
  • Mathematics for Machine Learning
  • AI for Medicine

Publications & Contributions 🌎

Publication: Reimagining Application User Interface (UI) Design using Deep Learning Methods: Challenges and Opportunities (2023)

Open Source: TensorRTX, PytorchX, YOLOv7-Pose

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