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Hi, I’m Arslan Minhas — a Senior AI Engineer with 8+ years of building production machine learning systems, from traditional ML and deep learning to modern GenAI architectures. I specialize in multi-agent RAG platforms, text-to-SQL engines, and computer vision, with a track record of delivering enterprise AI applications from concept to production. I thrive on turning complex data problems into scalable solutions across healthcare, finance, logistics, and retail, with a strong focus on responsible and HIPAA-compliant deployments. I’m passionate about LLM fine-tuning (LoRA/QLoRA), distributed training optimization, and edge AI solutions. I enjoy mentoring teams, shaping MLOps practices, and creating impactful AI systems that balance performance, privacy, and business value.…Hi, I’m Arslan Minhas — a Senior AI Engineer with 8+ years of building production machine learning systems, from traditional ML and deep learning to modern GenAI architectures. I specialize in multi-agent RAG platforms, text-to-SQL engines, and computer vision, with a track record of delivering enterprise AI applications from concept to production. I thrive on turning complex data problems into scalable solutions across healthcare, finance, logistics, and retail, with a strong focus on responsible and HIPAA-compliant deployments. I’m passionate about LLM fine-tuning (LoRA/QLoRA), distributed training optimization, and edge AI solutions. I enjoy mentoring teams, shaping MLOps practices, and creating impactful AI systems that balance performance, privacy, and business value.

Arslan Minhas

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Hi, I’m Arslan Minhas — a Senior AI Engineer with 8+ years of building production machine learning systems, from traditional ML and deep learning to modern GenAI architectures. I specialize in multi-agent RAG platforms, text-to-SQL engines, and computer vision, with a track record of delivering enterprise AI applications from concept to production. I thrive on turning complex data problems into scalable solutions across healthcare, finance, logistics, and retail, with a strong focus on responsible and HIPAA-compliant deployments. I’m passionate about LLM fine-tuning (LoRA/QLoRA), distributed training optimization, and edge AI solutions. I enjoy mentoring teams, shaping MLOps practices, and creating impactful AI systems that balance performance, privacy, and business value.…Hi, I’m Arslan Minhas — a Senior AI Engineer with 8+ years of building production machine learning systems, from traditional ML and deep learning to modern GenAI architectures. I specialize in multi-agent RAG platforms, text-to-SQL engines, and computer vision, with a track record of delivering enterprise AI applications from concept to production. I thrive on turning complex data problems into scalable solutions across healthcare, finance, logistics, and retail, with a strong focus on responsible and HIPAA-compliant deployments. I’m passionate about LLM fine-tuning (LoRA/QLoRA), distributed training optimization, and edge AI solutions. I enjoy mentoring teams, shaping MLOps practices, and creating impactful AI systems that balance performance, privacy, and business value.

Available to hire

Hi, I’m Arslan Minhas — a Senior AI Engineer with 8+ years of building production machine learning systems, from traditional ML and deep learning to modern GenAI architectures. I specialize in multi-agent RAG platforms, text-to-SQL engines, and computer vision, with a track record of delivering enterprise AI applications from concept to production. I thrive on turning complex data problems into scalable solutions across healthcare, finance, logistics, and retail, with a strong focus on responsible and HIPAA-compliant deployments.

I’m passionate about LLM fine-tuning (LoRA/QLoRA), distributed training optimization, and edge AI solutions. I enjoy mentoring teams, shaping MLOps practices, and creating impactful AI systems that balance performance, privacy, and business value.

Skills

Experience Level

Expert

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Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior AI Engineer at Technumen

July 1, 2022 - Present

Remote • July 2022 – Present Built multi-agent RAG clinical decision support system using Llama 370B with LoRA adapters; integrated 20M+ medical records and UMLS knowledge graphs; achieved 94% diagnostic accuracy and reduced physician lookup time by 65%. Developed financial Text-to-SQL platform using fine-tuned CodeLlama handling derivatives, portfolio analytics, and risk metrics; processes 50K+ queries daily with sub-second latency. Implemented CLIP-based multimodal visual search across 5M+ retail products; optimized inference with TensorRT achieving <80ms latency and increasing conversion by 40%. Designed PPO-based reinforcement learning system for last-mile route optimization using graph neural networks; reduced delivery times by 30% across 10K daily routes. Deployed YOLOv5 + SAM defect detection across 15 production lines; achieved 97% mAP at 60 FPS with NVIDIA Jetson edge deployment. Automated 75% of insurance claims using GPT-4 fine-tuning with RLHF and fraud detection via gr

Senior Machine Learning Engineer at Marketfuel

January 1, 2019 - June 1, 2022

Remote • Jan 2019 – Jun 2022 Built real-time e-commerce recommendation engine using two-tower neural networks and GRU4Rec session modeling; scaled to 20M users and improved CTR by 35%. Implemented hierarchical demand forecasting models (N-BEATS, TFT) capturing seasonality and promotions; reduced stockouts by 45% while optimizing inventory costs. Deployed multi-armed bandits for explore/exploit optimization in pricing and personalization systems. Engineered streaming fraud detection pipeline processing 100M+ transactions daily using ensemble of isolation forests, autoencoders, and graph neural networks; achieved 0.02% false positive rate preventing significant financial losses. Developed dynamic pricing engine using contextual bandits with competitor price monitoring and elasticity modeling; increased gross margins by 18% through statistically rigorous A/B testing framework. Built customer service chatbot using BERT variants with retrieval-augmented generation for intent classificat

Machine Learning Engineer at FoodBAM

November 1, 2017 - December 1, 2019

New York, NY • Nov 2017 – Dec 2019 Built restaurant analytics platform with LSTM-based forecasting for order volume, prep time, and ingredient usage; reduced food waste by 35%. Developed menu optimization system using collaborative filtering and price elasticity modeling; increased average order value by 22%. Created delivery time prediction pipeline combining gradient boosting and deep learning; achieved 85% accuracy within a 5-minute window. Implemented CNN-based food recognition and quality assessment deployed via Core ML; reduced complaints by 40%. Built NLP sentiment analysis dashboard with aspect extraction and topic modeling; improved ratings by 0.5 stars. Architected real-time anomaly detection system for kitchen operations using streaming data from IoT sensors and POS systems; reduced service disruptions by 28% through proactive intervention alerts.