• Developed and implemented forecasting algorithms to accurately predict future trends in time series data using statistical and machine learning models

• Collaborated with research and engineering teams to prototype and deploy predictive analytics tools, enhancing data-driven decision-making within the institution.

• Designed and optimized a scalable time series data platform, improving data ingestion and processing speed for large-scale scientific datasets using influxDB.

• Developed scalable FastAPI microservice architecture with PostgreSQL backend, handling concurrent voice sessions, automated call recording, transcription workflows, and comprehensive analytics tracking.

• Architected and deployed a hybrid conversational AI system integrating OpenAI Realtime API, ElevenLabs TTS, and Twilio Voice for real-time phone-based customer interactions.

• Implemented intelligent conversation flows with dynamic system prompting, customer data integration, human agent transfer capabilities, and multi-modal feedback collection via SMS.

• Automated large-scale antiSMASH analyses using Python scripts and shell automation, identifying biosynthetic patterns in Bacterial Vaginosis (BV) gene clusters.

• Leveraged HPC/grid computing to run parallelized bioinformatics workflows, accelerating genetic marker discovery for targeted BV research.

• Collaborated with researchers, aligning computational results with study objectives to refine BV genetic investigations.

• Developed and optimized new features using React and TypeScript, improving user engagement by 15%.

• Debugged and refactored front-end code, reducing production bugs by 25%, enhancing app stability.

• Led workshops on TailwindCSS and Figma, achieving 90% adoption, reducing reliance on third-party templates.

• Implemented Agile/Scrum workflow, achieving 20% more on-time project deliveries with 95% sprint goal success.