$ cat summary.txt
Backend Engineer with 5+ years of experience building healthcare SaaS platforms, scalable APIs, real-time systems, and AI-powered applications. Strong experience with Python, Django, Django REST Framework, SQL, WebSockets, Azure Speech Services, and Azure OpenAI. Experienced in API and database optimization, third-party healthcare integrations, real-time audio processing, and AI-driven clinical workflows.
$ cat stack.json
frameworks & backend
DjangoDjango REST FrameworkFastAPICeleryRedisWebSockets
cloud, devops & ai
AWS EC2S3CloudWatchCI/CD (Jenkins)Azure OpenAIAzure Speech Services
databases & analytics
MySQLMariaDBPower BI
developer tools
GitPostman
$ tail -f experience.log
Backend Engineer — AI & PlatformJul 2021 → present
HealthViewX · Payoda Technologies
- Developed and maintained scalable Python/Django backend services and REST APIs for a healthcare SaaS platform serving US providers and patients.
- Led development of a pain management module used by thousands of users, improving treatment tracking by 30%.
- Improved API and database performance by 50% through SQL query optimization, database indexing, and Django ORM improvements.
- Integrated healthcare and communication platforms including Twilio, RingCentral, eFax, and Availity, improving operational efficiency by 40%.
- Integrated wearable and medical-device platforms including Fitbit and iHealth, improving provider productivity by 25%.
Data Engineer & AnalystMay 2024 → present
HealthViewX · Payoda Technologies
- Built Python and SQL ETL pipelines to process and transform multi-source healthcare data.
- Developed Power BI dashboards and reports to visualize KPIs and business metrics for stakeholders.
- Integrated Power BI Embedded into web applications to deliver analytics within the application workflow.
Software Engineer InternJan 2021 → Jun 2021
Payoda Technologies
- Developed internal tools and contributed to backend services using Django and MySQL.
$ ls ./projects
A3 – Ambient AI Chrome Extension
- Architected and published a Chrome extension that captures real-time patient–provider conversations, streams audio to Azure Speech Services for transcription, and uses Azure OpenAI to generate structured clinical summaries in configurable formats.
- Developed WebSocket-based bidirectional audio streaming and real-time session management for low-latency transcription.
- Engineered the system to support multiple concurrent transcription sessions, optimizing streaming, resource utilization, and processing latency under constrained infrastructure.
Enterprise Reporting Engine
- Designed an asynchronous document export service using Django, Celery, and Redis to generate large-scale PDF, CSV, and Excel reports.
$ cat education.txt
B.E. Electronics & Communication EngineeringCGPA: 7.48
PSG College of Technology, Coimbatore, TN, India