Open to opportunities

Harris Zahir Malik

@malik-harris-zahir

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AI Engineer specializing in LLMs, RAG, low-latency inference, and production-ready ML pipelines.

Pakistan

Message

What I'm looking for

I seek hands-on roles building production AI systems (RAG, LLMs, agentic workflows) with strong MLOps, reproducibility, and measurable business impact.

I am a results-driven Artificial Intelligence Engineer who designs, builds, and deploys deep-learning and generative-AI systems across finance, healthcare, and Web3. I bridge research, engineering, and MLOps to deliver auditable, high-value AI systems.

At Tekhqs I engineered multi-horizon crypto options and futures signal pipelines, dual-path deep learning architectures achieving 85–87% signal accuracy, and KYC/zkML pipelines with 88% ROC AUC under zero-knowledge constraints. I established MLOps best practices using MLflow and shipped FastAPI microservices for reliable production inference.

Previously at Visric I delivered RAG-based recommendation systems with OpenAI and Pinecone, multi-horizon FX forecasting systems, and production generative media workflows using DALL·E 2 and Stable Diffusion. I emphasize reproducible pipelines, explainability, and low-latency inference.

I hold a BS in Computer Science from University of South Asia, Lahore, and publish research on NLP for mental-health interventions. I seek roles where I can scale agentic AI, RAG, and production ML systems to drive measurable business outcomes.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

Tekhqs

Sep 2024 - Present (1 year 9 months)

Designed and deployed multi-horizon crypto options and futures signal pipelines and end-to-end algorithmic trading systems, achieving 85–87% signal accuracy and up to 0.62 R2 across 180 equities while improving reproducibility and reducing manual logging via MLflow.

Deep Learning Algorithmic Trading MLFlow fastAPI RAG Embeddings PyTorch

AI Engineer

Visric

Oct 2023 - Jul 2024 (9 months)

Engineered multi-horizon FX forecasting and RAG-based recommendation systems using OpenAI and Pinecone, improving personalization and scalability across a 500+ item catalog and deploying production generative media workflows.

Forecasting RAG Pinecone OpenAI fastAPI SMOTE Distributed Retrieval

AI/ML Engineer Intern

Omno.ai

Jul 2023 - Oct 2023 (3 months)

Built churn models and clustering pipelines to drive retention and segmentation, developed an infrared face-recognition dataset and fine-tuned YOLOv8 for real-time tracking, contributing to increased social media reach.

Logistic Regression YOLOv8 K Means Data Annotation Computer Vision PyTorch Model Evaluation Clustering

Education

Degrees, certifications, and relevant coursework

University of South Asia, Lahore

Bachelor of Science, Computer Science

2020 - 2024

Completed a Bachelor of Science in Computer Science with coursework and projects focused on machine learning, deep learning, and software engineering.