Passionate about building scalable systems, implementing ML pipelines, and solving complex problems with elegant code.
- π Currently working at Sofi as Full Stack Python Developer in San Francisco
- π± Specialized in Python, Django, React, AWS, Machine Learning
- π‘ Expert in building HIPAA-compliant healthcare systems and FinTech solutions
- π― Reduced incident response time by 60% and improved system efficiency by 40%
- π Built ML models achieving 95% prediction accuracy for healthcare analytics
- β‘ Fun fact: I automate everything!
San Francisco, CA | Jan 2025 - Present
- Unified authentication across 3 ReactJS front ends, reducing support tickets by 20%
- Engineered REST APIs with Django & DRF, improving throughput by 40%
- Implemented behavioral scoring models reducing manual review time by 30%
- Built real-time data pipelines with Kafka & Spark ensuring 99.99% uptime
- Automated AWS infrastructure monitoring, cutting downtime by 35%
Remote | Aug 2024 - Dec 2024
- Pioneered HIPAA-compliant doctor-patient analytics portal handling 1,000+ patients/month
- Created ML pipelines predicting readmissions, reducing hospital penalties by $200K/year
- Developed Django APIs with RBAC improving data access speeds by 30%
- Built clinician dashboards with ReactJS, improving case review times by 40%
India | Oct 2020 - Dec 2023
- Streamlined workflows through automation, saving 40% manual effort for 5K+ users
- Built Flask REST APIs serving 10K+ daily users
- Migrated MongoDB to Elasticsearch, slashing query time by 60%
- Engineered event-driven architecture with Kafka reducing latency by 150ms
Python 2.7/3.x | JavaScript ES6 | Java | Bash | SQLDjango | Flask | FastAPI | ReactJS | AngularJS | HTML5 | CSS3Scikit-learn | TensorFlow | Pandas | NumPy | OpenCV | Matplotlib | NLTK | KerasPostgreSQL | MongoDB | MySQL | Oracle | Cassandra | Elasticsearch | RedisAWS: EC2, S3, RDS, Lambda, VPC
Tools: Docker, Kubernetes, Terraform, Ansible, Jenkins, Git
Monitoring: Splunk, CloudWatchApache Kafka | Apache Spark | Spark Streaming | RabbitMQ
- Architected logistics platform using ML-based demand forecasting
- Increased delivery efficiency by 18%
- Built Kafka-backed Spring Boot microservices for zero downtime
- Integrated Redis caching reducing prediction latency significantly
- Created AI system using sensor data to predict incidents (traffic, pipeline failures)
- Improved emergency response times by 30%
- Automated event handling with AWS Lambda
- Launched HIPAA-compliant health analytics platform
- Achieved 95% chronic disease prediction accuracy
- Hardened cloud infrastructure with S3 RBAC policies
- β AWS Certified Solutions Architect - Associate
- β AWS Certified Data Engineer - Associate
- β Certified Kubernetes Application Developer (CKAD)
- β Professional Scrum Master (PSM-1)
- β Machine Learning with Python
- β Google Digital Marketing Certification
- π Snowflake Data Engineer (Foundational Badge)
- π Microsoft Azure Fundamentals (Badge)
π Master's Degree - University of the Pacific, San Francisco, CA
π Bachelor's Degree - Jawaharlal Nehru Technological University, India
- π§ Email: [email protected]
- π± Phone: 650-515-1879
- π Portfolio: fullstackireetguntur.lovable.app
- πΌ LinkedIn: Connect with me
- π Location: San Francisco, California