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Senior Machine Learning Engineer with 8+ years of experience designing, fine-tuning, deploying, and scaling AI/ML systems in production. Strong expertise in Generative AI, LLMs, RAG, AI agents, NLP, Computer Vision, and distributed systems, delivered across AWS, Azure, and GCP with measurable improvements in performance, reliability, and outcomes. I focus on building enterprise-grade AI solutions end-to-end: from data engineering and model development to MLOps, monitoring, governance, and automation. I’ve built stateful multi-step agent workflows, multi-tenant RAG systems, and robust model monitoring to sustain high uptime while reducing hallucinations, costs, and resolution time.…Senior Machine Learning Engineer with 8+ years of experience designing, fine-tuning, deploying, and scaling AI/ML systems in production. Strong expertise in Generative AI, LLMs, RAG, AI agents, NLP, Computer Vision, and distributed systems, delivered across AWS, Azure, and GCP with measurable improvements in performance, reliability, and outcomes. I focus on building enterprise-grade AI solutions end-to-end: from data engineering and model development to MLOps, monitoring, governance, and automation. I’ve built stateful multi-step agent workflows, multi-tenant RAG systems, and robust model monitoring to sustain high uptime while reducing hallucinations, costs, and resolution time.

Arslan Javed

AI Engineer, Data Scientist, Software Engineer, +1

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Senior Machine Learning Engineer with 8+ years of experience designing, fine-tuning, deploying, and scaling AI/ML systems in production. Strong expertise in Generative AI, LLMs, RAG, AI agents, NLP, Computer Vision, and distributed systems, delivered across AWS, Azure, and GCP with measurable improvements in performance, reliability, and outcomes. I focus on building enterprise-grade AI solutions end-to-end: from data engineering and model development to MLOps, monitoring, governance, and automation. I’ve built stateful multi-step agent workflows, multi-tenant RAG systems, and robust model monitoring to sustain high uptime while reducing hallucinations, costs, and resolution time.…Senior Machine Learning Engineer with 8+ years of experience designing, fine-tuning, deploying, and scaling AI/ML systems in production. Strong expertise in Generative AI, LLMs, RAG, AI agents, NLP, Computer Vision, and distributed systems, delivered across AWS, Azure, and GCP with measurable improvements in performance, reliability, and outcomes. I focus on building enterprise-grade AI solutions end-to-end: from data engineering and model development to MLOps, monitoring, governance, and automation. I’ve built stateful multi-step agent workflows, multi-tenant RAG systems, and robust model monitoring to sustain high uptime while reducing hallucinations, costs, and resolution time.

Available to hire

Senior Machine Learning Engineer with 8+ years of experience designing, fine-tuning, deploying, and scaling AI/ML systems in production. Strong expertise in Generative AI, LLMs, RAG, AI agents, NLP, Computer Vision, and distributed systems, delivered across AWS, Azure, and GCP with measurable improvements in performance, reliability, and outcomes.

I focus on building enterprise-grade AI solutions end-to-end: from data engineering and model development to MLOps, monitoring, governance, and automation. I’ve built stateful multi-step agent workflows, multi-tenant RAG systems, and robust model monitoring to sustain high uptime while reducing hallucinations, costs, and resolution time.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Beginner

Beginner

Work Experience

Senior AI /ML Engineer at Codex Innovation

September 1, 2022 - Present

Designed and deployed tool-enabled AI agents with stateful memory and multi-step planning loops, reducing troubleshooting resolution time by 50% across 10,000+ daily queries. Architected multi-tenant RAG systems integrated with WhatsApp and Messenger, boosting query accuracy by 40% while supporting concurrent enterprise workloads. Fine-tuned Llama 3 and Mistral models via QLoRA across AWS, Azure, and GCP, achieving 99.8% schema compliance and reducing hallucination rates by 30%. Built a custom T5-based conversational agent improving customer satisfaction by 65% and deflecting 35% of inbound support tickets. Optimized GPT-4 prompt workflows and API call batching to lower latency by 25% and cut token costs by 18%. Deployed Kubernetes-based model monitoring with automated data drift detection, sustaining 99.9% uptime in production.

Senior AI / ML Engineer at Codex Innovation

September 1, 2022 - Present

Designed and deployed tool-enabled AI agents with stateful memory and multi-step planning loops, cutting troubleshooting resolution time by 50% across 10,000+ daily queries. Architected multi-tenant RAG systems integrated with WhatsApp and Messenger, boosting query accuracy by 40% while supporting concurrent enterprise workloads. Fine-tuned Llama 3 and Mistral models via QLoRA across AWS, Azure, and GCP, achieving 99.8% schema compliance and reducing hallucinations by 30%. Built a custom T5-based conversational agent that increased customer satisfaction by 65% and deflected 35% of inbound support tickets. Optimized GPT-4 prompt workflows and API batching to lower latency by 25% and reduce token costs by 18%. Deployed Kubernetes-based monitoring with automated data drift detection to sustain 99.9% uptime.

Data Science Executive at Bank of America

July 1, 2021 - August 31, 2022

Spearheaded AI and data science initiatives across technology, risk, and operations, aligning model outputs with regulatory compliance. Engineered NLP pipelines for automated risk assessment and intelligent document classification, reducing manual review time by 40% across audit workflows. Improved audit testing efficiency by 30% using predictive analytics to surface anomalies before escalation. Reduced production failures by 75% via systematic debugging, load testing, and proactive model monitoring. Established model governance, statistical validation, and compliance reporting workflows aligned to internal risk and audit standards.

Machine Learning Engineer at TechDreams Solution

July 1, 2018 - June 30, 2021

Engineered a 3D convolutional neural network surveillance system for real-time detection of burglary, fighting, and theft, achieving 79% AUC on held-out test data. Reduced false positive/negative rates by 20% through targeted dataset augmentation and hyperparameter tuning for improved live reliability. Built AWS-based SaaS ML applications that improved resource utilization and reduced infrastructure costs by 20% using auto-scaling and spot instance strategies. Developed RESTful APIs with Django and Flask (90%+ test coverage) and optimized computer vision models for edge deployment on Raspberry Pi devices.