Aug 2025 – Dec 2025 · 4 mos · Chicago, Illinois, United States · Remote

May 2025 – Aug 2025 · 3 mos · Chicago, Illinois, United States · Remote

• Boosted clinical reasoning accuracy by ~27% by fine-tuning domain-specific LLMs with LoRA, QLoRA, mixed precision (FP16/BF16), and PyTorch DDP on multimodal iEMR datasets (tabular + free-text clinical notes aligned to OMOP & HL7/FHIR standards).
• Created the C.A.R.E. Score framework (Accuracy, Reliability, Safety) to evaluate healthcare AI, achieving 15–20% higher benchmarks than baseline LLMs with custom metrics, automated scoring pipelines, and statistical error analysis in Python.
• Integrated abstractive NLP pipelines leveraging spaCy, Hugging Face Transformers, and PyTorch modules for entity resolution, clinical concept normalization, and medication reconciliation workflows, reducing manual chart review time by 40%.
• Engineered HIPAA-compliant workflows for clinical NLP and EMR ingestion, ensuring data privacy, regulatory alignment, and auditability across all model pipelines.
• Optimized large-scale training on AWS (Vocareum) with gradient checkpointing, checkpoint pruning, and cost-aware scheduling, reducing fine-tuning costs by ~18% without loss in model quality.
• Developed AI reasoning pipelines for clinician-level problem status & severity classification across LLaMA, Mistral, GPTQ quantized models, using prompt engineering, rule-based validators, and few-shot adaptation.
• Co-authored peer-reviewed publication “C.A.R.E. Score: Benchmarking Clinical Accuracy, Reliability, and Safety in Healthcare AI Models” — contributed to evaluation design, error analysis, and clinical validation aligned with OMOP/FHIR interoperability standards.

Jan 2024 – May 2024 · 4 mos · Vadodara, Gujarat, India · On-site

• Designed and deployed scalable cloud infrastructure on AWS (EC2, S3, Lambda, VPC, IAM), delivering 99.9% uptime SLAs for distributed applications.
• Architected multi-tier fault-tolerant systems with Application Load Balancers, Auto Scaling Groups, and AZ redundancy, boosting peak-load reliability by 60%+.
• Accelerated provisioning by 40% through Infrastructure-as-Code (IaC) automation with Terraform + CloudFormation, eliminating manual bottlenecks and improving release velocity.
• Reduced storage/delivery costs by ~25% using CloudFront CDN, S3 versioning, and lifecycle policies while enhancing global content caching and availability.
• Optimized observability and resilience via CloudWatch, CloudTrail, and AWS X-Ray, enabling proactive detection/mitigation of bottlenecks and service anomalies.
• Hardened cloud security with granular IAM policies, KMS-based encryption, VPC firewalls, and audit logging, ensuring compliance with enterprise governance standards.
• Cut infra costs measurably through AWS Cost Explorer + custom dashboards, rightsizing EC2 instances, and eliminating underutilized resources.
• Authored IaC playbooks, architecture diagrams, and DevOps documentation; conducted internal AWS workshops, raising team-wide cloud fluency.

Apr 2023 – Dec 2023 · 8 mos · Ahmedabad, Gujarat, India · Remote

• Developed and deployed full-stack MedTech applications using the MERN stack (MongoDB, Express.js, React.js, Node.js) with production-ready features, performance-critical APIs, and EHR interoperability modules.
• Built responsive, accessible UI components in React.js with Redux/Context API for scalable state management, ensuring consistent UX across 200+ concurrent hospital users.
• Engineered and secured RESTful APIs in Node.js/Express.js with JWT token authentication, RBAC authorization, and middleware-based caching, improving backend request performance by 2.5x through schema redesign, compound indexing, and denormalization.
• Integrated external APIs for analytics, payments, and healthcare data exchange (HL7/FHIR, OMOP mappings), expanding interoperability and compliance with healthcare systems.
• Optimized OCR + image processing pipelines for DICOM medical images using OpenCV, Tesseract, and custom CV modules, cutting report processing latency by 65% while meeting HIPAA compliance requirements.
• Boosted application reliability by 54% through debugging, Swagger/Postman test harnesses, and custom logging middleware; achieved 95% unit/integration test coverage with Jest/Mocha for CI/CD readiness.
• Containerized the full stack with Docker, enabling reproducible builds and streamlined deployments across staging/production; worked in a Scrum-based Agile team, contributing to sprint velocity gains of ~20%.

Nov 2022 – Dec 2022 · 1 mo · India · Remote

• Developed front-end interface using React and implemented back-end logic with Node.js and Express.js.
• I worked on projects using the MERN stack for a new web application at Oasis Infobyte.
• Collaborated with a team to create a user-friendly web application for clients.
• Utilized MongoDB to store and manage data efficiently.

Sep 2022 – Dec 2022 · 3 mos · Vadodara, Gujarat, India

• During my internship as a campus ambassador, I gained valuable skills in communication, web development, front-end development, back-end web development, social media, and JavaScript. These skills were essential to my success on the job and have continued to serve me well in my career.
• One of the most significant skills I developed during my internship was communication. As a web developer, it's crucial to be able to communicate effectively with clients and team members. I learned how to ask questions, provide feedback, and present my ideas clearly and concisely. Through regular meetings with my supervisor, I was able to refine my communication skills and become more confident in my ability to convey technical information to non-technical stakeholders.
• In terms of web development, I gained experience working on both the front-end and back-end of web applications. I was responsible for creating user interfaces using HTML, CSS, and JavaScript, as well as developing the back-end functionality using Node.js and Express.js. Through this experience, I learned how to develop web applications from start to finish and gained a better understanding of the development process as a whole.
• Additionally, I gained experience in social media marketing. As part of my role, I was responsible for creating and managing social media campaigns to promote our web applications. This experience gave me a better understanding of how social media can be used to drive traffic and engagement to websites and provided me with valuable marketing skills.
• Overall, my internship as a web developer provided me with a range of valuable skills that have helped me succeed in my career. From communication to web development, social media, and JavaScript, I feel confident that I have the skills and experience needed to succeed as a professional web developer.

Jan 2022 – May 2022 · 4 mos · Vadodara, Gujarat, India · On-site

• Assisted in Data Structures, Algorithms, and Web Development courses, focusing on practical and theoretical instruction.
• Conducted coding workshops and hands-on sessions, improving student engagement and understanding.
• Developed tutorial videos and project evaluation frameworks, ensuring students mastered full-stack development concepts.
• Mentored students on applying programming concepts to real-world problems.