Senior Software Engineer and AI/ML Engineer with 7+ years of experience designing, developing, and deploying scalable software applications and machine learning systems across healthcare, banking, and technology domains. Strong background in end-to-end software development, including backend APIs, full-stack web applications, and cloud-native services. Experienced in Python-based development, modern frontend frameworks (React, TypeScript), and building reliable, maintainable systems using Django, Flask, FastAPI, and microservices architectures. Proven expertise in AI/ML and MLOps, including NLP, LLMs, RAG pipelines, model deployment, monitoring, and automation on AWS and Azure. Skilled in PostgreSQL, distributed systems, CI/CD, Docker, Kubernetes, and infrastructure as code. Delivered multiple HIPAA-compliant healthcare platforms, real-time data and inference systems, and enterprise-grade software with a focus on performance, security, and scalability.

Masih Mohammed

Senior Software Engineer and AI/ML Engineer with 7+ years of experience designing, developing, and deploying scalable software applications and machine learning systems across healthcare, banking, and technology domains. Strong background in end-to-end software development, including backend APIs, full-stack web applications, and cloud-native services. Experienced in Python-based development, modern frontend frameworks (React, TypeScript), and building reliable, maintainable systems using Django, Flask, FastAPI, and microservices architectures. Proven expertise in AI/ML and MLOps, including NLP, LLMs, RAG pipelines, model deployment, monitoring, and automation on AWS and Azure. Skilled in PostgreSQL, distributed systems, CI/CD, Docker, Kubernetes, and infrastructure as code. Delivered multiple HIPAA-compliant healthcare platforms, real-time data and inference systems, and enterprise-grade software with a focus on performance, security, and scalability.

Available to hire

Senior Software Engineer and AI/ML Engineer with 7+ years of experience designing, developing, and deploying scalable software applications and machine learning systems across healthcare, banking, and technology domains. Strong background in end-to-end software development, including backend APIs, full-stack web applications, and cloud-native services.

Experienced in Python-based development, modern frontend frameworks (React, TypeScript), and building reliable, maintainable systems using Django, Flask, FastAPI, and microservices architectures. Proven expertise in AI/ML and MLOps, including NLP, LLMs, RAG pipelines, model deployment, monitoring, and automation on AWS and Azure.

Skilled in PostgreSQL, distributed systems, CI/CD, Docker, Kubernetes, and infrastructure as code. Delivered multiple HIPAA-compliant healthcare platforms, real-time data and inference systems, and enterprise-grade software with a focus on performance, security, and scalability.

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Experience Level

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Work Experience

Software Engineer at Client - Atos
June 1, 2025 - Present
Architected and developed full-stack enterprise applications using React, Angular, Django, and Node.js, delivering 100,000+ active users with 99.9% uptime. Built scalable RESTful APIs and microservices with Python Django, Flask, FastAPI, and Node.js Express, achieving sub-30ms response times. Implemented GraphQL backends with Apollo Server, reducing frontend API calls by 40% and improving data fetching efficiency. Developed responsive, mobile-first interfaces with React, TypeScript, HTML5, and CSS3, including reusable components via Storybook. Deployed AI-powered data pipelines on Google Cloud Platform (BigQuery, Cloud Composer) and reduced data latency by 45%. Created asynchronous, event-driven architectures using SNS/SQS and Docker/Kubernetes, with CI/CD pipelines in Jenkins and GitHub Actions enabling zero-downtime deployments. Integrated third-party services (Stripe, Auth0, SendGrid, Twilio) and built an AI-powered chatbot using LangChain, OpenAI, and FastAPI serving 10k+ queries d
Software Engineer at Client - Ascension
January 1, 2025 - June 1, 2025
Developed healthcare applications using React and Django REST Framework, delivering 15 production releases with 99.5% uptime. Built dynamic SPAs with React Router, Redux Toolkit, and React Query; implemented backend APIs with Django, Flask, and FastAPI (PostgreSQL) with caching and query optimization reducing latency from 800ms to 120ms. Implemented JWT/OAuth2 authentication and RBAC for HIPAA-compliant data access. Designed offline-first Progressive Web Apps supporting 50,000 concurrent users. Implemented real-time notifications via WebSockets and Redis Pub/Sub. Created GraphQL APIs with DataLoader; built AI workflows on GCP using Python and LangChain. Developed dynamic multi-step forms with React Hook Form and Yup; automated ETL with Airflow and PySpark processing 2M+ records daily; deployed containerized microservices on AWS ECS/EKS with auto-scaling. Wrote test suites with Jest, Cypress, Pytest; achieved 85% coverage. Collaborated with healthcare clients to deliver HIPAA-compliant
Software Engineer at Client - US Cellular
June 1, 2024 - December 1, 2024
Developed Flask-based REST APIs and backend services for telecom platform serving 500k daily active users. Built real-time dashboards with React, Chart.js, and D3.js. Implemented microservices architecture using Flask and Node.js; built data pipelines with PySpark/Spark SQL processing millions of records daily. Implemented serverless functions on AWS Lambda with API Gateway handling 100k requests daily and auto-scaling. Built event-driven architectures using Apache Kafka and RabbitMQ. Optimized PySpark ETL jobs via partition tuning, broadcast joins, and caching, reducing processing time by 75%. Automated GCP provisioning with Cloud Build and Terraform. Containerized apps on GCP with Docker/Kubernetes; implemented multi-layer caching with Redis and CloudFront. Built data quality framework with anomaly detection reducing pipeline failures by 70%.
Software Engineer at Client - Bank of America
September 1, 2023 - May 1, 2024
Developed secure banking application using React and Spring Boot; built full-stack trading platform features with Angular and Django REST; implemented micro-frontend architecture enabling independent deployments. Built real-time stock ticker and portfolio dashboard for 10,000 concurrent users using WebSockets. Developed robust REST APIs with Python (Flask) and Java (Spring Boot) with proper error handling, logging, and audit trails. Re-engineered legacy systems into modern Python services with minimal downtime using Django/SQLAlchemy. Created end-to-end testing framework (Jest, Cypress, Selenium) and automated CI/CD pipelines with Jenkins, Docker, and AWS CodeDeploy. Implemented multi-tier caching with Redis and in-memory caches improving performance by 65% and reducing SQL latency. Built ETL workflows using AWS Glue and Lambda; defined Snowflake schemas and Power BI dashboards for executive reporting. Implemented strong security measures (input sanitization, XSS, CSRF). Reduced JS bun
Full Stack Developer at Client - TCS
June 1, 2019 - July 1, 2023
Designed and developed full-stack applications with Django and Flask; built REST APIs handling 100,000+ requests daily with Redis caching and query optimization. Delivered responsive interfaces with React.js, HTML5, CSS3, Bootstrap. Built serverless full-stack apps using Node.js/Express, React, and AWS services (Lambda, DynamoDB, S3, API Gateway) with SNS/SQS for real-time processing. Built automated ETL pipelines with Python and Apache Airflow to process 2M+ records daily from Oracle and SQL Server, with thorough validation. Implemented CI/CD using Jenkins, Docker, and AWS, achieving automated 20-minute deployments with zero downtime. Migrated from monolithic to microservices with Flask; developed e-commerce features (shopping cart, payments, orders, inventory). Created admin dashboards with Angular; implemented OAuth2 and JWT-based authorization. Deployed on AWS EC2 with Auto Scaling, ELB, and CloudFormation. Built automated testing suites with PyTest, Selenium; delivered 85% test co

Education

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Qualifications

Masters in Information Technology
January 11, 2030 - January 10, 2026
Bachelors in Information Technology
January 11, 2030 - January 10, 2026

Industry Experience

Software & Internet, Healthcare, Financial Services, Telecommunications, Professional Services