Rithik Roshan
Full Stack Python Developer
USA +1-314-***-**** Email: ******@**********.*** LinkedIn SUMMARY
Full Stack Python Developer with 4+ years of experience designing and building scalable, cloud-native web applications, APIs, and distributed systems across technology, SaaS, and enterprise domains. Specialized in Python (Django, Flask, FastAPI), React/Angular, microservices, and high-availability backend architectures. Strong expertise in AWS/Azure/GCP, containerization, CI/CD automation, and secure API development following OWASP, HIPAA, GDPR standards. Adept at integrating ML models, optimizing performance, automating workflows, and improving system reliability, latency, and business KPIs. Known for cross-functional collaboration, Agile leadership, and delivering production-ready solutions that scale.
PROFESSIONAL EXPERIENCE
Full Stack Python Developer CONTUS Tech (Internship) USA Jan 2025 – Current
Designed and built production-grade full-stack applications using Django/Flask/FastAPI and React/Angular, improving application performance by 30% and maintainability through modularized architecture.
Engineered and optimized RESTful and GraphQL APIs supporting high-volume B2B/B2C workloads, reducing API latency by 25% and enabling seamless integration with payment gateways, CRM, ERP, and third-party systems.
Automated complex ETL/ELT data pipelines using Airflow, PySpark, Pandas, moving ERP/CRM/IoT data into Snowflake and PostgreSQL, reducing manual reporting tasks by 40% and enabling real-time analytics dashboards.
Refactored legacy monoliths into AWS cloud-native microservices (EC2, Lambda, API Gateway, RDS), improving availability to 99.99% and reducing infrastructure cost by 20% through serverless adoption.
Implemented secure authentication/authorization with OAuth2, JWT, SAML, RBAC, and full TLS/SSL encryption, achieving compliance across healthcare and finance solutions (HIPAA, GDPR, OWASP).
Built automated CI/CD pipelines using Jenkins, GitHub Actions, Docker, Kubernetes, enabling zero-downtime deployments and reducing manual deployment errors by 50%.
Developed monitoring dashboards with Grafana, Prometheus, Power BI, reducing incident detection and recovery time by 35% through proactive alerting and log correlation.
Achieved 90%+ test coverage using PyTest, Selenium, Postman, Cucumber BDD, resulting in 25% fewer post-release defects and faster QA cycles. Contributed to Agile ceremonies (planning, refinement, retrospectives) and maintained 97% sprint completion rate by translating business requirements into scalable technical solutions.
Mentored junior developers on Python best practices, DevOps workflows, and Git branching, lowering onboarding time by 15% and enhancing team delivery efficiency.
Full Stack Python Developer GeekyAnts India July 2020 – Dec 2023
Developed and deployed enterprise web applications using Python (Flask/FastAPI) for backend and React/Angular for frontend, improving UX, boosting client adoption by 22%, and reducing downtime in SaaS platforms.
Built scalable backend systems using Flask, FastAPI, PostgreSQL, and MongoDB, processing 100K+ daily requests with high availability. Optimized APIs and database calls to increase query execution speed by 28% for analytics-heavy use cases.
Implemented asynchronous job pipelines with Celery, Redis, and Kafka to handle background tasks like notifications, ETL jobs, and batch processing, reducing peak-hour server load and boosting throughput by 30%.
Designed and deployed real-time communication features (chat, alerts, push notifications) using WebSockets, Socket.IO, and Django Channels, increasing user engagement and collaboration in SaaS applications by 35%.
Collaborated with ML engineers to deploy AI/ML models into production pipelines via Flask APIs and AWS SageMaker, adding real-time personalization, recommendation engines, and predictive analytics to client products.
Created CI/CD pipelines with GitLab CI/CD, Jenkins, and Kubernetes, automating end-to-end deployments. Cut release cycles from weeks to days, improved reliability of production rollouts, and enhanced team collaboration across dev and ops teams.
Monitored application performance and infrastructure health with Prometheus, ELK Stack, and Grafana, setting up predictive alerts that reduced downtime by 25% and improved overall system resilience.
Conducted database indexing, query optimization, and schema redesigns in PostgreSQL and MySQL, which reduced response times by 35% and improved performance for large-scale reporting modules.
Enforced secure coding practices aligned with OWASP, implemented SSL/TLS encryption, IAM-based access control, and vulnerability scanning. This safeguarded client healthcare and financial data, reducing compliance-related risks significantly.
Delivered comprehensive technical documentation, client training workshops, and knowledge transfer sessions, which streamlined project handovers, reduced post-deployment support tickets by 20%, and enhanced client self-sufficiency. TECHNICAL SKILLS
Programming & Scripting: Python, JavaScript, TypeScript, SQL, Bash, Shell Scripting
Backend Development: Django, Flask, FastAPI, DRF, Node.js, Express.js, Celery, Redis, Kafka, Microservices Architecture
Frontend Development: React.js, Angular, Next.js, Redux Toolkit, Tailwind CSS, Material UI, Responsive UI/UX
API Engineering: RESTful APIs, GraphQL, gRPC, OAuth2, JWT, SAML, Swagger/OpenAPI, WebSockets, Socket.IO, API Gateway
Databases & Storage: PostgreSQL, MySQL, MongoDB, Redis, DynamoDB, Snowflake, Cassandra, SQLAlchemy, Django ORM
Cloud & Serverless: AWS (Lambda, EC2, S3, RDS, EKS, API Gateway), Azure Functions, GCP Cloud Run, Serverless Architectures, Cloud Security
DevOps, Automation & Infrastructure: Docker, Kubernetes, Helm, Terraform, Ansible, GitHub Actions, GitLab CI/CD, Jenkins, Nginx, Linux Administration, GitOps
Data Engineering & Processing: Airflow, Apache Spark, Kafka, ETL/ELT Pipelines, Pandas, NumPy, Data Modeling, Real-time Streaming
Monitoring, Logging & Observability: Prometheus, Grafana, ELK Stack, Splunk, New Relic, CloudWatch, OpenTelemetry, Sentry
Security & Performance: OWASP Top 10, IAM, RBAC, SSL/TLS, Secure SDLC, API Hardening, Vulnerability Scanning, Load Testing (Locust, JMeter)
Testing & Quality: PyTest, Selenium, Postman/Newman, Cypress, Cucumber BDD, Unit/Integration/E2E Testing, TDD/BDD
Tools & Methodologies: Git, Bitbucket, Jira, Confluence, Agile/Scrum, CI/CD Pipelines, SDLC Best Practices EDUCATION
Masters Webster University, St. Louis, USA Jan 2024 – May 2025 Bachelors Gurunanak Institutions Technical Campus, Hyderabad, India July 2018 - Aug 2022