About Me
š I'm a seasoned software engineering leader with a decade of experience designing and delivering high-impact software solutions. Currently, I build intelligent, cloud-native products at the intersection of healthcare and AI at Amazon Web Services. Recognized for technical leadership, mentoring, and driving cross-team initiatives, Iām passionate about applying AI/ML to solve real-world challenges in healthcare, cloud infrastructure, and security.
Skills
- Programming Languages: JavaScript, TypeScript, Python, Java, Rust, C#, MATLAB, SQL
- AI/ML Frameworks: PyTorch, TensorFlow, LangChain, Hugging Face, RAG (Retrieval-Augmented Generation)
- Cloud & DevOps: AWS (CloudFormation, Lambda, Step Functions, CloudWatch, CloudTrail, EKS, DynamoDB, VPC), Azure
- Web-based Technologies: React.js, NodeJS, HTML, CSS, AngularJS
- Other: Microservices, RESTful APIs, Event-driven architectures, Infrastructure-as-Code, CI/CD, OpenAPI, OIDC, SAML, DICOM, HL7, ASTM, POCT
Experience
Software Development Engineer II ā Amazon Web Services
Nov 2021 ā Present | San Francisco Bay Area
- Building healthcare AI solutions for optimizing indexing, search, and retrieval of medical imaging data at scale.
- Architected microservice API enhancements for AWS HealthImaging in Java and Rust, improving throughput by 3x.
- Designed an event-driven pipeline processing 1TB+ imaging data/day with <200ms latency.
- Security champion: led threat modeling sessions and integrated CloudTrail audit logging for HIPAA compliance.
- Mentored interns and engineers, co-authoring design docs and delivering high-quality, on-schedule projects.
Software Development Engineer ā Amazon Web Services
Apr 2020 ā Nov 2021 | Washington DC Area
- Designed and deployed open-source AWS solutions generating $10M+ revenue annually.
- Integrated OIDC/SAML IdPs, tripling customer adoption rates.
- Optimized CI/CD pipelines, reducing bug reports by 50%.
Software Development Engineer ā Abbott Laboratories
Nov 2018 ā Apr 2020
- Developed point-of-care diagnostic data management systems (RALS) with HL7, ASTM, POCT interfaces.
- Built modern AngularJS UI components; awarded 1st place in Hack-a-Thon for innovative feature.
Software Test Engineer ā Abbott Laboratories
Jul 2017 ā Nov 2018
- Automated frontend UI and integration testing; improved software reliability with C# NUnit and moq.
Software Engineer ā Capgemini
Aug 2014 ā May 2015
- Developed PACS DICOM application in Java, HTML, CSS; improved system performance by 40%.
Highlighted Projects
Building RAG Agents with LLMs (NVIDIA Certified)
- Designed and deployed Retrieval-Augmented Generation (RAG) agents using LangChain and Hugging Face models.
- Focused on healthcare use cases: clinical knowledge retrieval and medical image metadata search.
Image Recognition using Deep Learning Models
- Developed CNN models with TensorFlow and Keras achieving 96% accuracy on medical imaging datasets.
- GitHub: deep-learning-for-image-recognition
Computed Tomography Image Reconstruction
- Algorithmically reconstructed 2D X-Ray sinogram image slices using MATLAB.
- GitHub: CT-Image-Reconstruction
Resume
Download Resume (PDF)Education
- Binghamton University ā MS in Biomedical Engineering (May 2017)
- Mumbai University ā BE in Biomedical Engineering (May 2014)
Certifications
- NVIDIA: Building RAG Agents with LLMs (Aug 2025)
- Deep Learning: Advanced Computer Vision (Aug 2024)
- AWS Certified Cloud Practitioner (Jun 2025)