Available to hire
I am a software engineer with 5+ years of experience designing scalable, healthcare-focused software and medical imaging workflows.
I specialize in .NET/C#, Python, microservices, and DICOM integration, building high-performance, secure solutions. I am passionate about creating reliable data pipelines, real-time monitoring, and user-friendly interfaces for radiology and clinical teams. I am eager to contribute to cross-functional teams and pursue new full-time opportunities in software engineering.
Skills
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Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Language
Javanese
Advanced
Amharic
Advanced
English
Fluent
Work Experience
Software Engineer at Boston Scientific
January 1, 2025 - November 15, 2025Applied expertise from medical imaging and interventional systems to develop interoperable, high-performance health-care software. Designed and developed .NET modules for clinical workflows and imaging data integration, bridging patient EMR records with diagnostic imaging systems (DICOM) to improve data flow and reduce manual reconciliation. Created monitoring and alerting tools in Python to track system performance and proactively detect anomalies in production environments. Built dynamic web applications using JavaScript, HTML, CSS, and modern frontend frameworks; implemented secure API gateways and microservices for exchanging radiology and telemetry data following HIPAA and ISO 13485. Contributed to real-time alerting and visualization modules and optimized 3D/volume viewers for radiology images; performed memory and performance profiling to optimize resource usage. Implemented a configurable laser-control subsystem enabling runtime switching between modes and integrated with hardw
Software Developer at University of Massachusetts North Dartmouth
December 1, 2024 - December 1, 2024Designed and implemented a quantum–classical co-processor concept to accelerate analysis of medical images using D-Wave annealers for future improvements in medical imaging workflows. Developed a proof-of-concept leveraging quantum annealing on the D-Wave Advantage QPU to accelerate CT image analysis pipelines. Investigated hybrid quantum–classical workflows for CT data denoising, segmentation, and reconstruction, demonstrating potential reductions in processing time for iterative algorithms. Conducted experimental evaluations using the D-Wave Ocean SDK and classical solvers to benchmark hybrid quantum–classical performance. Formulated reconstruction subproblems into QUBO/Ising models enabling partial offload and faster convergence.
Software Engineer at Harman Connected Service
August 1, 2023 - August 1, 2023Applied medical imaging and technical expertise to build low-latency .NET microservices and visualization workflows for real-time patient telemetry. Developed scalable .NET microservices for remote patient monitoring, enabling continuous ingestion and real-time analysis of patient vitals from IoT-connected devices; optimized serialization and data pipelines to achieve low-latency streaming and minimal data loss. Implemented secure device communication interfaces (REST/gRPC, MQTT) and patient data ingestion workflows compliant with healthcare data standards (HL7/FHIR). Brought experience from Siemens Healthineers to design robust, fail-safe data acquisition workflows, ensuring data integrity and recovery for telemetry. Built real-time dashboards using DICOM-derived vitals data to assist radiologists.
Software Engineer at Siemens Healthineers
June 1, 2022 - June 1, 2022Enhanced end-to-end DICOM imaging workflows by optimizing .NET processing pipelines and improving reliability, resulting in faster clinical performance, reduced technical debt, and lower operational downtime. Increased throughput by 25% and reduced end-to-end processing latency by 40% for hospital-wide imaging pipelines. Refactored automation test suite (NUnit, Karma, Jasmine), improving test coverage by 20% and catching issues earlier in development. Identified and addressed code smells, proactively improving the team's technical debt. Drove automation for CI/CD with Jenkins, containerization via Docker, and basic orchestration, cutting deployment time and manual steps by 40%. Improved MTTR by 20% through structured logging, distributed tracing, and memory tracing. Redesigned legacy multi-threaded image processing modules to improve memory management and concurrency, lowering peak memory usage by 30% and preventing intermittent OOM crashes.
Software Developer at University of Massachusetts Dartmouth
February 1, 2024 - December 1, 2024Designed and implemented a quantum-classical proof-of-concept to accelerate medical image analysis using D-Wave annealers. Built PoC leveraging quantum annealing on the D-Wave Advantage QPU to accelerate CT imaging optimization problems. Investigated hybrid quantum-classical workflows for CT data denoising, segmentation, and reconstruction; conducted experimental evaluations using the D-Wave Ocean SDK, integrating classical reconstruction algorithms (Python, NumPy, SciPy) with quantum solvers. Formulated sub-problems into QUBO/Ising models enabling partial offload to the quantum annealer for faster convergence.
Software Engineer at Harman Connected Service
August 1, 2022 - August 1, 2023Built low-latency .NET microservices and visualization workflows for remote patient monitoring. Developed scalable .NET microservices for ingesting and analyzing patient vitals from IoT-connected medical devices, optimizing serialization and data pipelines for low-latency streaming with minimal data loss. Implemented secure device communications (REST/gRPC, MQTT) and patient data ingestion workflows compliant with health care data standards (HL7/FHIR). Applied imaging-domain experience to design robust data acquisition workflows for patient telemetry and created real-time visualizations of DICOM-derived vitals to aid radiologists.
Software Developer at Siemens Healthineers
August 1, 2019 - June 1, 2022Enhanced end-to-end DICOM imaging workflows by optimizing .NET processing pipelines and improving reliability and code quality, enabling faster clinical performance and reducing technical debt. Increased imaging pipeline throughput and reduced end-to-end latency; contributed to automated testing, improving coverage and catching issues earlier. Improved memory management and concurrency in legacy multi-threaded modules, reducing peak memory usage and eliminating intermittent crashes. Built internal tooling for burn/sprint reporting and automated notifications, cutting manual effort and deployment time.
Software Developer at University of Massachusetts, Dartmouth
February 1, 2024 - December 1, 2024Designed and implemented a quantum–classic computing proof-of-concept to accelerate analysis of medical images using D-Wave annealers for future enhancements in medical imaging work flows. Developed a POC leveraging quantum annealing on the D-Wave Advantage QPU to accelerate complex optimization problems arising in CT image analysis pipelines. Investigated hybrid quantum–classical workflows for CT data denoising, image segmentation, and reconstruction—demonstrating potential reductions in processing time for iterative algorithms such as conjugate gradient and compressed sensing. Conducted experimental evaluations using the D-Wave Ocean SDK, integrating classical reconstruction algorithms (Python, NumPy, SciPy) with quantum solvers to benchmark hybrid quantum–classical performance. Formulated reconstruction sub-problems (e.g., sparse matrix inversion, iterative optimization) into QUBO / Ising models, enabling partial offload to quantum annealer for faster convergence.
Software Engineer at Harman Connected Services
August 1, 2022 - August 1, 2023Developed scalable .NET microservices and visualization workflows for remote patient monitoring, enabling real-time analysis of vitals from IoT devices. Optimized data ingestion pipelines and dashboards to support clinical interpretation of telemetry data. Implemented secure device communication interfaces (REST/gRPC, MQTT) and aligned with HL7/FHIR data standards. Refactored CI/CD pipelines and containerized services with Docker; introduced orchestration practices with Kubernetes, reducing deployment time and improving reliability.
Software Developer at University of Massachusetts, North Dartmouth
February 1, 2024 - December 1, 2024Designed and implemented a quantum–classical proof-of-concept to accelerate analysis of medical imaging workloads using D-Wave quantum annealers. Explored hybrid quantum-classical workflows for CT data denoising, image segmentation, and reconstruction; integrated classical reconstruction algorithms (Python, NumPy, SciPy) with quantum solvers to benchmark hybrid performance. Investigated quantum-enabled acceleration against classical baselines and documented potential workflow improvements.
Software Developer at University of Massachusetts
February 1, 2024 - December 1, 2024Designed and implemented a quantum-classical computer proof-of-concept to accelerate analysis of medical images using D-Wave annealers, enabling faster exploration of CT data pipelines. Investigated hybrid quantum-classical workflows for CT data denoising, segmentation, and reconstruction; demonstrated potential reductions in processing time.
Education
M.S. in Computer Science at University of Massachusetts North Dartmouth
January 11, 2030 - May 1, 2025B.E. (Honours) Information Science & Engineering at National Institute of Engineering, Mysuru
January 11, 2030 - September 1, 2020MS in Computer Science at University of Massachusetts Dartmouth
January 11, 2030 - May 1, 2025BE (Honors) Information Science & Engineering at National Institute of Engineering, Mysuru
September 1, 2020 - December 3, 2025MS in Computer Science at University of Massachusetts, Dartmouth
January 11, 2030 - May 1, 2025B.E (Honours) Information Science & Engineering at National Institute of Engineering, Mysuru
January 11, 2030 - September 1, 2020MS in Computer Science at University of Massachusetts Dartmouth
January 11, 2030 - May 1, 2025B.E (Hons) Information Science & Engineering at National Institute of Engineering, Mysuru
September 1, 2020 - December 16, 2025MS in Computer Science at University of Massachusetts Dartmouth
January 11, 2030 - May 1, 2025B.E (Hons.) Information Science & Engineering at National Institute of Engineering, Mysuru
September 1, 2020 - December 19, 2025MS in Computer Science at University of Massachusetts, North Dartmouth
January 11, 2030 - May 1, 2025B.E (Honors) Information Science & Engineering at National Institute of Engineering, Mysuru
January 11, 2030 - September 1, 2020MS in Computer Science at University of Massachusetts Dartmouth
January 11, 2030 - May 1, 2025B.E (Honors) Information Science & Engineering at National Institute of Engineering, Mysuru
January 11, 2030 - September 1, 2020MS in Computer Science at University of Massachusetts
January 11, 2030 - May 1, 2025BE in Information Science & Engineering at National Institute of Engineering, Mysuru
January 11, 2030 - September 1, 2020Qualifications
Industry Experience
Healthcare, Software & Internet, Life Sciences, Professional Services, Manufacturing, Computers & Electronics, Other
Skills
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Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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