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I am a Senior Software Engineer with 8+ years of experience specializing in full-stack development using Python (FastAPI, Django) and modern frontend frameworks like React and Vue. I build scalable microservices, RESTful APIs, and cloud-native apps on AWS, with Docker and Kubernetes to enable reliable deployment and scaling. I also have hands-on experience with AI/ML integration, model deployment, and MLOps to enhance product capabilities. I thrive in collaborative environments, mentor junior engineers, and drive improvements in deployment efficiency, system reliability, and user engagement through Agile practices and CI/CD pipelines.…I am a Senior Software Engineer with 8+ years of experience specializing in full-stack development using Python (FastAPI, Django) and modern frontend frameworks like React and Vue. I build scalable microservices, RESTful APIs, and cloud-native apps on AWS, with Docker and Kubernetes to enable reliable deployment and scaling. I also have hands-on experience with AI/ML integration, model deployment, and MLOps to enhance product capabilities. I thrive in collaborative environments, mentor junior engineers, and drive improvements in deployment efficiency, system reliability, and user engagement through Agile practices and CI/CD pipelines.

Waqas Abbas

Full Stack Developer, Web Developer, Front-End Developer, +5

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I am a Senior Software Engineer with 8+ years of experience specializing in full-stack development using Python (FastAPI, Django) and modern frontend frameworks like React and Vue. I build scalable microservices, RESTful APIs, and cloud-native apps on AWS, with Docker and Kubernetes to enable reliable deployment and scaling. I also have hands-on experience with AI/ML integration, model deployment, and MLOps to enhance product capabilities. I thrive in collaborative environments, mentor junior engineers, and drive improvements in deployment efficiency, system reliability, and user engagement through Agile practices and CI/CD pipelines.…I am a Senior Software Engineer with 8+ years of experience specializing in full-stack development using Python (FastAPI, Django) and modern frontend frameworks like React and Vue. I build scalable microservices, RESTful APIs, and cloud-native apps on AWS, with Docker and Kubernetes to enable reliable deployment and scaling. I also have hands-on experience with AI/ML integration, model deployment, and MLOps to enhance product capabilities. I thrive in collaborative environments, mentor junior engineers, and drive improvements in deployment efficiency, system reliability, and user engagement through Agile practices and CI/CD pipelines.

Available to hire

I am a Senior Software Engineer with 8+ years of experience specializing in full-stack development using Python (FastAPI, Django) and modern frontend frameworks like React and Vue. I build scalable microservices, RESTful APIs, and cloud-native apps on AWS, with Docker and Kubernetes to enable reliable deployment and scaling. I also have hands-on experience with AI/ML integration, model deployment, and MLOps to enhance product capabilities.

I thrive in collaborative environments, mentor junior engineers, and drive improvements in deployment efficiency, system reliability, and user engagement through Agile practices and CI/CD pipelines.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

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Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Software Engineer II at The Incc.

December 1, 2023 - February 1, 2025

Developed robust full‑stack features using Django, Django REST Framework, Vue.js, and PostgreSQL; built Celery + Redis job queues for background processing and data ingestion, reducing latency and improving reliability by 35%. Designed REST APIs, implemented OpenAPI documentation, and enforced strong validation schemas using Pydantic and Marshmallow. Collaborated to integrate ML models via FastAPI and gRPC, improving response latency and scalability across production systems. Wrote comprehensive unit, integration, and E2E tests (PyTest, Cypress, Selenium), decreasing regression bugs by 40%. Led development of a real‑time notification system with WebSockets to boost user engagement.

Senior Machine Learning Engineer at RemoteReps

March 20, 2023 - Present

Mentored junior ML engineers and led internal sessions on LLM architecture, model optimization, and prompt engineering. Designed and deployed end-to-end ML solutions for real-time analytics, recommendation systems, and automation workflows using Python, TensorFlow, and scikit-learn. Developed LLM-powered applications leveraging LangChain, Hugging Face transformers, and vector databases (FAISS, Pinecone) to enable context-aware text and document understanding. Implemented MLOps pipelines for model training, versioning, and deployment using MLflow, DVC, Airflow, Docker, and Kubernetes, improving model delivery speed by 35%. Deployed and monitored ML models in production through AWS SageMaker, EC2, and EKS, integrating observability tools like Prometheus, Grafana, and Weights & Biases for performance tracking. Collaborated with product and data teams to translate business problems into ML use cases, delivering measurable improvements in automation and customer experience.

Senior Software Engineer at RemoteReps

March 1, 2023 - Present

Led the development of a cloud-native microservices platform using Python, PostgreSQL, Redis, and React.js, boosting deployment speed by 30% via Docker, Kubernetes, and GitHub Actions CI/CD. Migrated a legacy monolith to containerized microservices on AWS ECS, enhancing deployment agility by 50% and simplifying scaling. Built dynamic React interfaces using Redux Toolkit, Formik, and React Query, increasing UI performance and user retention. Mentored junior engineers, led technical interviews, and facilitated Agile ceremonies, improving team velocity and code quality. Developed and deployed ML inference APIs with FastAPI and TensorFlow Lite/Scikit-Learn for real-time predictions at scale.

Software Engineer at Devsinc

March 1, 2020 - December 1, 2023

Designed and deployed AI‑powered applications using Python, FastAPI, and LangChain; integrated LLMs and vector databases for real‑time context‑aware responses. Built end‑to‑end ML pipelines (data preprocessing, training, validation, deployment) with Scikit‑Learn, TensorFlow, and PyTorch. Automated model versioning and monitoring with MLflow, Docker, and AWS SageMaker, improving deployment speed and model reliability. Architected and maintained scalable cloud infrastructure on AWS (Lambda, EC2, DynamoDB, S3), ensuring 99.9% uptime and optimized resource utilization. Collaborated cross‑functionally to deploy ML models into production, increasing efficiency by 30%.

Senior Software Engineer at RemoteReps

March 1, 2020 - Present

Led the development of a cloud‑native microservices platform using Python, PostgreSQL, Redis, and React.js; improved deployment speed by 30% via Docker, Kubernetes, and GitHub Actions CI/CD. Migrated a legacy monolith to containerized microservices on AWS ECS, enhancing deployment agility by 50% and simplifying scaling. Built dynamic React interfaces with Redux Toolkit, Formik, and React Query, increasing user retention through UI performance improvements. Mentored junior engineers, led technical interviews, and facilitated Agile ceremonies, boosting team velocity by 25% and code quality. Developed and deployed ML inference APIs with FastAPI and TensorFlow Lite/Scikit‑learn for real‑time predictions at scale, managed via Docker/Kubernetes CI/CD pipelines.

ML Engineer II at The Incc.

January 20, 2020 - February 20, 2023

Built and deployed scalable machine learning pipelines using Python, TensorFlow, and MLflow, reducing model deployment time by 35% and improving overall reliability. Automated model lifecycle management with MLflow, Airflow, and DVC, enabling faster experiment tracking and reproducible deployments. Containerized and optimized inference services using Docker, Kubernetes, and AWS SageMaker, lowering infrastructure costs by 25% while maintaining 99.9% uptime. Collaborated with cross-functional teams to integrate ML models via FastAPI and gRPC, improving response latency and scalability across production systems. Enhanced feature engineering and hyperparameter optimization workflows with Optuna, LightGBM, and XGBoost, boosting model performance and interpretability. Led the development of a real-time notification system with WebSockets, increasing user engagement and retention.

Software Engineer II at The Incc.

January 1, 2020 - February 1, 2023

Developed robust full-stack features using Django, Django REST Framework, Vue.js, and PostgreSQL; built Celery + Redis job queues for background processing and data ingestion workflows, reducing latency and improving system reliability by 35%. Designed and consumed REST APIs, implemented OpenAPI documentation, and enforced strong validation schemas using Pydantic and Marshmallow. Collaborated with cross-functional teams to integrate ML models via FastAPI and gRPC, improving response latency and scalability. Wrote comprehensive unit, integration, and E2E tests using PyTest, Cypress, and Selenium, decreasing regression bugs by 40%. Led real-time notification system using WebSockets.

Machine Learning Engineer at Devsinc

March 20, 2017 - December 20, 2019

Developed an ML-powered fraud detection system for cheque deposits, performing data preprocessing, feature engineering, and model optimization that improved detection accuracy by 15% (to 86%) and significantly reduced fraudulent transactions. Designed and implemented a data pipeline that automated feature generation and model retraining, enhancing accuracy and scalability across large datasets. Migrated a legacy monolithic e-commerce platform to a serverless AWS architecture (Lambda, API Gateway, DynamoDB), reducing operational costs by 30% and improving page load times by 25%. Implemented LTI 1.3 protocol integration for a large-scale education platform, reducing third-party tool onboarding time by 40% and improving system interoperability. Built and maintained microservices and REST APIs with Python, FastAPI, and AWS, ensuring scalability, fault tolerance, and seamless CI/CD integration.

Software Engineer at Devsinc

March 1, 2017 - December 1, 2019

Designed and deployed AI-powered applications using Python, FastAPI, and LangChain, integrating LLMs and vector databases for real-time context-aware responses. Developed end-to-end ML pipelines (data preprocessing, training, validation, deployment) using Scikit-Learn, TensorFlow, and PyTorch. Automated model versioning and monitoring with MLflow, Docker, and AWS SageMaker, improving deployment speed and model reliability. Architected and maintained scalable cloud infrastructure on AWS (Lambda, EC2, DynamoDB, S3), ensuring 99.9% uptime and optimized resource utilization. Collaborated cross-functionally to deploy ML models into production, increasing efficiency by ~30%.