Available to hire
Hi, I’m Arslan Minhas, a certified software engineer with 8+ years of experience building scalable web applications across healthcare, finance, logistics, and retail. I specialize in backend development with Node.js, Express, and NestJS, and craft rich frontends using React, Angular, and TypeScript. I design cloud-native microservices deployed on AWS (EKS, Lambda, S3, RDS), containerized with Docker, and orchestrated with Kubernetes, with a strong focus on performance, reliability, and maintainability.
A strong advocate of clean code, TDD/BDD, and modular architecture, I lead cross-functional teams, mentor engineers, and deliver production-grade APIs (REST and GraphQL) with secure authentication and third-party integrations (Stripe, Twilio, SendGrid, etc.). I have deep experience in database design (PostgreSQL, MongoDB) and real-time systems using Kafka and RabbitMQ, and I implement robust CI/CD pipelines with GitHub Actions and Jenkins, plus comprehensive monitoring with Prometheus, Grafana, and the ELK stack.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Language
English
Fluent
Work Experience
Senior Software Engineer at Technumen
July 1, 2022 - PresentDesigned and built full-stack SaaS platforms using Node.js (NestJS, Express) on the backend and React, Angular, and TypeScript on the frontend, with a focus on scalability, maintainability, and modularity. Architected modular microservices deployed on AWS EKS, leveraging Kubernetes, Docker, and Terraform. Developed interactive, real-time dashboards with REST and GraphQL APIs for enterprise users. Implemented CI/CD pipelines using GitHub Actions, Jenkins, and ArgoCD, automating testing, container builds, and deployments, resulting in a 40% reduction in release cycle times. Led monitoring and observability using Prometheus, Grafana, ELK Stack, and Alertmanager for real-time health checks across distributed environments.
Senior AI Engineer at Technumen
July 1, 2022 - PresentRemote • 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 Software Engineer at Marketfuel
January 1, 2019 - June 1, 2022Developed Node.js microservices with Express and NestJS, enabling real-time e-commerce workflows and high-throughput order processing. Built high-performance UIs with React and Angular, integrated with backend RESTful APIs. Implemented CI/CD pipelines with Jenkins, GitHub Actions, and Docker. Optimized Redis caching and tuned PostgreSQL schemas; deployed containerized apps on AWS ECS and self-managed Kubernetes, with Terraform/CloudFormation for infra.
Senior Machine Learning Engineer at Marketfuel
January 1, 2019 - June 1, 2022Remote • 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
Full-Stack Web Engineer at FoodBAM
November 1, 2017 - December 1, 2019Designed and scaled FoodBAM’s restaurant inventory and ordering platform using Node.js (Express, NestJS) for backend services and React for frontend. Developed RESTful and GraphQL APIs powering order processing, dynamic pricing, and multi-tenant inventory across restaurants and suppliers. Implemented live order tracking with WebSockets, Kafka, and Redis Pub/Sub; deployed AWS infrastructure with Docker and automated pipelines with Jenkins.
Machine Learning Engineer at FoodBAM
November 1, 2017 - December 1, 2019New 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.
Education
Master of Science at Metropolitan College of New York
January 11, 2030 - February 26, 2026Master of Science at Metropolitan College of New York
January 1, 2022 - January 1, 2022Masters Degree at Metropolitan College of New York
January 11, 2030 - January 1, 2022Qualifications
AWS Certified Machine Learning
January 11, 2030 - February 26, 2026Google Cloud Professional ML Engineer
January 11, 2030 - February 26, 2026Deep Learning Specialization (deeplearning.ai)
January 11, 2030 - February 26, 2026NVIDIA Deep Learning Institute
January 11, 2030 - February 26, 2026MLOps Specialization (Coursera)
January 11, 2030 - February 26, 2026AWS Certified Machine Learning
January 1, 2019 - June 1, 2022Google Cloud Professional ML Engineer
January 11, 2030 - April 17, 2026Deep Learning Specialization (deeplearning.ai)
January 11, 2030 - April 17, 2026NVIDIA Deep Learning Institute MLOps Specialization (Coursera)
January 11, 2030 - April 17, 2026Certified Software Engineer
January 11, 2030 - June 29, 2026Industry Experience
Media & Entertainment, Software & Internet, Professional Services, Education, Other, Healthcare, Financial Services, Retail, Transportation & Logistics, Manufacturing
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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