I am a Software Engineer with over 3 years of experience focused on designing scalable backend systems using Java, Python, and Spring Boot. My passion lies in developing distributed services, optimizing system performance, and deploying applications to cloud environments like AWS and Azure with CI/CD. I thrive in fast-paced, collaborative environments where I can build resilient products that impact millions. Currently, I work as an AI & Backend Engineer contributing to ML pipelines and deploying models to enhance real-time predictions. Throughout my career, I have embraced mentoring and teaching roles, helping students and junior engineers build secure backend systems, while continuously improving development workflows. I am committed to efficient, secure, and scalable software solutions and enjoy leveraging my skills in cloud infrastructure, automation, and AI-driven applications.

Tanuja Sontakke

I am a Software Engineer with over 3 years of experience focused on designing scalable backend systems using Java, Python, and Spring Boot. My passion lies in developing distributed services, optimizing system performance, and deploying applications to cloud environments like AWS and Azure with CI/CD. I thrive in fast-paced, collaborative environments where I can build resilient products that impact millions. Currently, I work as an AI & Backend Engineer contributing to ML pipelines and deploying models to enhance real-time predictions. Throughout my career, I have embraced mentoring and teaching roles, helping students and junior engineers build secure backend systems, while continuously improving development workflows. I am committed to efficient, secure, and scalable software solutions and enjoy leveraging my skills in cloud infrastructure, automation, and AI-driven applications.

Available to hire

I am a Software Engineer with over 3 years of experience focused on designing scalable backend systems using Java, Python, and Spring Boot. My passion lies in developing distributed services, optimizing system performance, and deploying applications to cloud environments like AWS and Azure with CI/CD. I thrive in fast-paced, collaborative environments where I can build resilient products that impact millions. Currently, I work as an AI & Backend Engineer contributing to ML pipelines and deploying models to enhance real-time predictions.

Throughout my career, I have embraced mentoring and teaching roles, helping students and junior engineers build secure backend systems, while continuously improving development workflows. I am committed to efficient, secure, and scalable software solutions and enjoy leveraging my skills in cloud infrastructure, automation, and AI-driven applications.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Beginner
See more

Language

English
Fluent
Hindi
Advanced

Work Experience

Technical Teaching Assistance at Northern Arizona University
May 31, 2025 - July 10, 2025
Mentored 50+ students on Flask development, React UI integration, and full-stack debugging. Supported 10+ student-led projects on secure Docker deployments, Flask-based inference APIs, and symbolic memory analysis, improving project success rate and reproducibility by 30%. Conducted 12+ lab sessions on web architecture and deployment, boosting project quality and submission rates.
Full Stack Software Engineer at Northern Arizona University
December 31, 2024 - July 10, 2025
Built and deployed a full-stack portal using Flask, React.js, and MySQL, secured with JWT and RBAC. Integrated GitHub Actions and Jenkins to automate CI/CD pipelines, reducing deployment time by 60%. Implemented Azure Monitor for end-to-end logging and real-time system health tracking. Delivered interactive UI and API dashboards for stakeholder feedback and iteration.
Software Engineer at LTIMindtree (Client: Chevron Corp.)
July 31, 2023 - July 10, 2025
Developed internal React-based dashboards and Flask APIs to streamline data workflows. Containerized services with Docker and configured CI/CD using GitHub Actions, improving release cycles by 70%. Refactored front-end with reusable React components, improving maintainability and load times by 25%. Built role-based access layers and token-based authentication for security. Created RESTful Flask endpoints supporting CRUD operations, reducing dev request turnaround by 40%. Collaborated with UI/UX teams and enhanced onboarding documentation, delivering multiple workshops.
Software Development Intern at Mapweb Technologies
July 31, 2020 - July 10, 2025
Developed 5+ interactive browser-based games using JavaScript, HTML, and CSS with enhanced gameplay UI and logic. Integrated Firebase Realtime Database and Authentication for cloud-backed scoreboards and logins. Reduced page load time by 25% through UI optimizations. Implemented Git-based version control and deployed updates to live public hosting. Designed real-time leaderboard updates, boosting user engagement and replay rate by 40%. Worked closely with mentors to improve code quality, UI responsiveness, and user experience.
AI Engineer at Progress Solutions
May 1, 2025 - Present
Built real-time inference pipelines using Docker, REST APIs, AWS SageMaker, and Azure ML for low-latency deployment. Created Python-based preprocessing and training modules, tuned models via cross-validation and hyperparameter search. Deployed secure APIs with JWT and RBAC, monitored drift using custom metrics, and triggered auto-retraining. Integrated CI/CD pipelines via GitHub Actions and enabled multi-cloud support with uptime optimization on AWS.
Technical TA, Backend Systems at Northern Arizona University
May 31, 2025 - July 15, 2025
Mentored 50+ students on Flask development, Docker workflows, and debugging secure backend systems using symbolic execution. Supported 10+ student-led projects on secure Docker deployments, Flask-based inference APIs, and symbolic memory analysis, improving project success rate and reproducibility by 30%. Conducted 12+ lab sessions and 1:1 tutoring focused on backend security and container debugging, contributing to a 25% increase in student project completion rates.
Full Stack Software Engineer at Northern Arizona University
December 31, 2024 - July 15, 2025
Developed full-stack application with Flask, MySQL, and React UI managing RBAC workflows. Automated CI/CD pipelines using GitHub Actions and Jenkins, cutting release turnaround time by 60% and reducing integration bugs. Integrated Azure Monitor and Log Analytics for real-time API health checks and latency dashboards, decreasing mean-time-to-diagnosis by 30%. Delivered product demos to university IT leadership, accelerating go-live approval by showcasing secure access controls and performance metrics.
Backend Software Engineer at LTIMindtree (Client: Chevron Corp.)
July 31, 2023 - July 15, 2025
Designed and maintained backend services using Flask and REST APIs to power distributed microservices on Azure. Implemented JWT authentication with RBAC, reducing unauthorized access risks and improving audit traceability. Built CI/CD pipelines with Azure DevOps and GitHub Actions, accelerating release cycles by 80% and enabling safe rollbacks. Provisioned infrastructure using Terraform, ARM templates, and Ansible, cutting manual provisioning time by 30%. Integrated Azure Monitor and Application Insights, achieving 99.9% uptime with proactive alerting and SLA dashboards. Reduced operational costs by 15% through intelligent scaling rules, health checks, and performance baselines. Refactored legacy scripts to modular infrastructure code, creating reusable Terraform modules and CI/CD templates. Collaborated with security and SRE teams to enforce policy-based access, improving cloud audit compliance posture by 25%. Led code reviews and technical onboarding for junior engineers to ensure al
AI & Backend Engineer at Progress Solutions
May 1, 2025 - Present
Contributed to building ML inference pipelines using Docker, REST APIs, and AWS SageMaker to enable faster client-facing predictions. Assisted in deploying models on Azure ML for enhanced real-time system responsiveness and uptime. Developed Python scripts for data preprocessing and training, improving model accuracy by approximately 10%. Optimized model deployment configurations to reduce latency during A/B testing. Supported API security using JWT and RBAC mechanisms and helped establish drift monitoring with retraining triggers. Integrated GitHub Actions-based CI/CD pipelines to streamline model updates and maintain deployment consistency across cloud platforms.
Teaching Assistant (Backend Systems) at Northern Arizona University
May 1, 2025 - August 11, 2025
Mentored over 50 students on Flask development, Docker workflows, and debugging secure backend systems through symbolic execution. Supported 10+ student projects focused on secure Docker deployments, Flask-based inference APIs, and symbolic memory analysis, improving project success and reproducibility by 30%. Conducted more than 12 lab sessions and personalized tutoring on backend security and container debugging, contributing to a 25% rise in student project completion rates.
Full Stack Software Engineer at Northern Arizona University
December 1, 2024 - August 11, 2025
Developed a Flask-MySQL-React application with Role-Based Access Control (RBAC) securing access for over 200 users, reducing role errors by 40%. Automated CI/CD pipelines using GitHub Actions and Jenkins, cutting release turnaround by 60% and halving post-deployment bugs. Integrated Azure Monitor and Log Analytics for real-time alerting and dashboards, decreasing mean time to recovery by 30% in production. Presented security-focused demonstrations to university leadership, accelerating go-live approval by showcasing 25% faster response times.
Backend Software Engineer at LTIMindtree (Client: Chevron Corp.)
July 1, 2023 - August 11, 2025
Designed and maintained backend microservices using Flask and REST APIs on the Azure cloud. Implemented JWT authentication with RBAC to reduce unauthorized access risks and enhance audit traceability. Built CI/CD pipelines via Azure DevOps and GitHub Actions, speeding release cycles by 80% and enabling safe rollbacks. Automated infrastructure provisioning using Terraform, ARM templates, and Ansible, saving 30% manual effort. Integrated Azure Monitor and Application Insights for 99.9% uptime with proactive alerting and SLA tracking. Reduced operational costs by 15% through intelligent scaling and health checks. Refactored legacy scripts into modular infrastructure code, improving deployment consistency by 40%. Created reusable Terraform modules and CI/CD templates that halved cloud service onboarding time for new teams. Improved cloud compliance by 25% through policy enforcement and enhanced traceability. Led code reviews and onboarded junior engineers to align with DevOps best practice
AI & Backend Engineer at Progress Solutions
May 1, 2025 - Present
Contributed to building ML inference pipelines with Docker, REST APIs, and AWS SageMaker for fast client-facing predictions. Assisted in deploying machine learning models on Azure ML to enhance real-time responsiveness and uptime. Developed Python scripts for data preprocessing and training, increasing model accuracy by about 10%. Optimized deployment configurations to reduce latency during A/B testing. Supported securing APIs with JWT and RBAC, and helped set up drift monitoring with retraining triggers. Integrated GitHub Actions CI/CD pipelines to enable consistent model updates and deployments across cloud environments.
Teaching Assistant (Backend Systems) at Northern Arizona University
May 1, 2025 - August 11, 2025
Mentored more than 50 students on Flask development, Docker workflows, and debugging secure backend systems using symbolic execution. Supported over 10 student-led projects related to secure Docker deployments, Flask inference APIs, and symbolic memory analysis, improving project success and reproducibility by 30%. Conducted over 12 lab sessions and individual tutoring focusing on backend security and container debugging, contributing to a 25% increase in student project completions.
Full Stack Software Engineer at Northern Arizona University
December 1, 2024 - August 11, 2025
Built a Flask-MySQL-React application with role-based access control securing access for more than 200 users, reducing role errors by 40%. Automated CI/CD processes with GitHub Actions and Jenkins, cutting release turnaround time by 60% and reducing post-deployment bugs by 50%. Integrated Azure Monitor and Log Analytics for real-time alerting and dashboards, reducing mean time to recovery (MTTR) by 30%. Presented security-focused demos to leadership, accelerating go-live approval by demonstrating 25% faster response times.
Backend Software Engineer at LTIMindtree (Client: Chevron Corp.)
July 1, 2023 - August 11, 2025
Designed and maintained backend services with Flask and REST APIs supporting distributed microservices on Azure. Implemented JWT authentication and RBAC, reducing unauthorized access and improving audit traceability. Developed CI/CD pipelines using Azure DevOps and GitHub Actions, speeding release cycles by 80% and enabling safe rollbacks. Managed infrastructure provisioning using Terraform, ARM templates, and Ansible, reducing manual setup time by 30%. Integrated Azure Monitor and Application Insights providing 99.9% uptime with proactive alerts and SLA dashboards. Reduced operational costs by 15% via scaling rules and health checks. Refactored legacy scripts for modular infrastructure code, boosting deployment consistency by 40%. Created reusable Terraform modules and CI/CD templates, cutting cloud onboarding time by 50% for new teams. Improved cloud compliance by 25% through policy enforcement and enhanced traceability. Led code reviews and technical onboarding for junior engineers,
AI & Backend Engineer at Progress Solutions
May 1, 2025 - Present
Contributed to building machine learning inference pipelines using Docker, REST APIs, and AWS SageMaker to accelerate client-facing predictions. Assisted in deploying models on Azure ML, improving real-time system responsiveness and uptime. Developed Python scripts for data preprocessing and training, boosting model accuracy by ~10%. Optimized deployment configurations reducing latency during A/B testing. Assisted in securing APIs with JWT and RBAC, and helped set up drift monitoring with retraining triggers. Integrated GitHub Actions-based CI/CD pipelines for consistent model updates and deployments across cloud environments.
Teaching Assistant (Backend Systems) at Northern Arizona University
May 1, 2025 - August 11, 2025
Mentored over 50 students in Flask development, Docker workflows, and secure backend system debugging using symbolic execution. Supported more than 10 student-led projects focused on secure Docker deployments, Flask-based inference APIs, and symbolic memory analysis, increasing project success rate and reproducibility by 30%. Conducted 12 lab sessions and 1:1 tutoring focused on backend security and container debugging, resulting in a 25% increase in student project completion rates.
Full Stack Software Engineer at Northern Arizona University
December 1, 2024 - August 11, 2025
Developed a Flask-MySQL-React application implementing RBAC to secure access for over 200 users and reduce role errors by 40%. Automated CI/CD pipelines using GitHub Actions and Jenkins, cutting release turnaround by 60% and post-deployment bugs by 50%. Integrated Azure Monitor and Log Analytics to provide real-time alerts and dashboards, reducing mean time to recovery by 30%. Presented security-focused demos to university leadership, accelerating go-live approval by demonstrating 25% faster response times.
Backend Software Engineer at LTIMindtree (Client: Chevron Corp.)
July 1, 2023 - August 11, 2025
Designed and maintained backend services using Flask and REST APIs powering distributed microservices on Azure. Implemented JWT authentication with RBAC, reducing unauthorized access risks and enhancing audit traceability. Built CI/CD pipelines with Azure DevOps and GitHub Actions, increasing release cycle speed by 80% and enabling safe rollbacks. Provisioned infrastructure using Terraform, ARM templates, and Ansible, reducing manual effort by 30%. Integrated Azure Monitor and Application Insights to achieve 99.9% uptime with proactive alerting and SLA dashboards. Reduced operational costs by 15% via intelligent scaling, health checks, and performance baselines. Refactored legacy scripts and pipelines to modular infrastructure code, improving deployment consistency by 40%. Created reusable Terraform modules and CI/CD templates, cutting cloud service onboarding time by 50% for new teams. Improved cloud compliance by 25% through policy-based access and enhanced traceability. Led code rev

Education

Masters in Computer Science at Northern Arizona University
August 1, 2023 - December 31, 2024
Bachelor of Engineering in Information Technology at Pune Institute of Computer Technology
July 1, 2017 - May 31, 2020
Masters in Computer Science at Northern Arizona University
August 1, 2023 - December 31, 2024
Bachelor of Engineering in Information Technology at Pune Institute of Computer Technology
July 1, 2017 - May 31, 2020
Masters in Computer Science at Northern Arizona University
August 1, 2023 - December 1, 2024
Bachelor of Engineering in Information Technology at Pune Institute of Computer Technology
July 1, 2017 - May 1, 2020
Masters in Computer Science at Northern Arizona University
August 1, 2023 - December 1, 2024
Bachelor of Engineering in Information Technology at Pune Institute of Computer Technology
July 1, 2017 - May 1, 2020
Masters in Computer Science at Northern Arizona University
August 1, 2023 - December 1, 2024
Bachelor of Engineering in Information Technology at Pune Institute of Computer Technology
July 1, 2017 - May 1, 2020

Qualifications

AWS Cloud Practitioner
January 1, 2023 - December 31, 2023
Databricks GenAI Fundamentals
January 1, 2023 - December 31, 2023
Terraform Basics
January 1, 2023 - December 31, 2023
AWS Cloud Practitioner
January 11, 2030 - July 15, 2025
Databricks GenAI Fundamentals
January 11, 2030 - July 15, 2025
Terraform Basics
January 11, 2030 - July 15, 2025
AWS Cloud Practitioner
January 11, 2030 - August 11, 2025
Databricks GenAI Fundamentals
January 11, 2030 - August 11, 2025
Terraform Basics
January 11, 2030 - August 11, 2025
AWS Cloud Practitioner
January 11, 2030 - August 11, 2025
Databricks GenAI Fundamentals
January 11, 2030 - August 11, 2025
Terraform Basics
January 11, 2030 - August 11, 2025
AWS Cloud Practitioner
January 11, 2030 - August 11, 2025
Databricks GenAI Fundamentals
January 11, 2030 - August 11, 2025
Terraform Basics
January 11, 2030 - August 11, 2025

Industry Experience

Software & Internet, Education, Energy & Utilities, Gaming, Professional Services, Financial Services