Master's in Computer Science at the Siebel School, focused on applied ML and AI for healthcare.
Key achievements:
- Coursework: Applied Machine Learning, Deep Learning for Healthcare, Database Systems.
Built internal AI tools for the Finance team at one of the world's largest online trading platforms, automating the procurement & accounts payable lifecycle across the company.
Key achievements:
- Built and shipped two company-wide AI platforms on GCP, handling 3,000+ requests & invoices/month across $3M+ in volume.
- Worked closely with the Procurement & AP teams to automate everything from vendor sourcing & outreach to PO tracking, invoice validation, and payment tracking, cutting processing time by 40%.
- Automated approvals, vendor risk checks, and invoice OCR with Gemini and Vertex AI.
Healthcare AI non-profit building smartphone-based respiratory disease screening from cough, voice, and breath audio.
Key achievements:
- Built a clinician-facing React app deployed in 2 hospitals for audio collection & patient annotation, handling PHI/PII for 5,000+ samples.
- Developed a serverless AWS ingestion pipeline (Lambda, S3, DynamoDB, SageMaker, Cognito) feeding multi-hospital data into the team's ML models for pneumonia, asthma, and COVID-19 detection.
Built the software stack for PrediSens, a smart central venous catheter & patch system to monitor and detect sepsis early in ICU patients.
Key achievements:
- Trained early-sepsis prediction models on 200,000+ ICU patient records (MIMIC-IV, eICU), reaching ~0.89 AUROC for Sepsis-3 onset within 24 hrs.
- Built a real-time inference pipeline (FastAPI, PyTorch) streaming biosensor data (SpO₂, ECG, WBC) from the CVC & patch via an ESP32 with <200ms latency.
- Developed a React Native mobile app for clinicians to monitor patient vitals and receive alerts in real-time.
- Set up ML workflows for feature engineering and model retraining on new clinical data, designed for HIPAA & ISO 13485 compliance.
- Collaborated with R&D teams on smart patch hardware prototyping to reduce ICU-acquired infections.
Worked on Zego's property management software, helped refactor and streamline billing and charge calculation workflows, led a team of 3 interns to build a Gen-Z focused mobile app to drive community engagement.
Key achievements:
- Built features to automate utility calculations across 10K+ rental units using .NET, PHP, and SQL Server.
- Refactored billing workflows and enhanced reporting dashboards for property management.
- Led a team of 3 interns in building a mobile app catering to Gen-Z to drive resident engagement.
- Implemented CI/CD pipelines with Jenkins for automated testing and deployment.
Worked on corporate banking and grocery app projects, used Flutter and GCP to implement geotagging, helped port mobile app to the web and refactor app pipeline to improve load time.
Key achievements:
- Built features for a corporate banking app used by a major private bank in Dubai using Flutter, .NET Core, and SQL Server.
- Implemented new account balance pages and banking features for customers.
- Worked on an online grocery app, helping port it to Flutter Web for cross-platform compatibility.
- Integrated Google Cloud APIs for geolocation and live delivery routing.
- Improved app performance by refactoring UI logic, reducing load time by 40%.
- Gained experience with CI/CD pipelines and AWS deployments.
Bachelor of Science in Computing & Information Technologies
Rochester Institute of Technology
Rochester, NY • Aug 2021 - May 2025
Graduated with GPA of 3.80/4.00, Summa Cum Laude
Key achievements:
- Tech Director at RIT Student Government: Led complete rewrite of university website in Next.js, built a voting platform for student club election, & managed tech infrastructure for campus events.
- Tech Lead at Google Developer Group @ RIT: Organized workshops with industry experts in AI/ML, UI/UX, and emerging tech.
- Vice President of RIT Chess Club: Helped Organize & Manage 12 tournaments and club events over 2022.