# Aman Pawar > Full Stack Software Engineer Location: New York City Metropolitan Area, United States Profile: https://flows.cv/amanpawar I build scalable, high-performance software across the full stack. Backend: I develop microservices and RESTful APIs using Java Spring Boot/ Python FastAPI and design efficient database schemas using SQL and NoSQL databases, and implement AI agents using LLM-powered services that improve accuracy and reduce manual effort. Frontend: I build modern, responsive React Typescript applications with clean UI architecture, reusable components, and optimized performance. I focus on intuitive user experiences, smooth interactions, and accessibility. I also integrate APIs, manage state effectively (Redux/Context), and ensure frontends are production-ready, secure, and scalable. Infrastructure & Delivery: I deploy full-stack applications on AWS, follow Test-Driven Development (TDD), and write clean, maintainable, and reliable infrastructure as code. Background: I hold a Master’s in Computer Science from Stevens Institute of Technology, specializing in Web Programming, Distributed Systems, and Cloud Computing. I combine strong academic foundations with hands-on experience to build systems that scale, deliver real impact, and put users first. I thrive in environments where I can own features end-to-end, solve complex problems, and contribute immediately to the team’s success. Feel free to explore my projects and experience to get a deeper sense of my work! ## Work Experience ### Software Engineer @ Healthcare.com Jan 2023 – Jan 2025 | New Jersey, United States Worked on backend systems powering lead automation and client onboarding in a healthcare marketplace, building core infrastructure for ingesting, processing, and normalizing partner data at scale. Focused on designing reliable workflows, integrating AI-driven systems, and enabling operational automation across product and business teams. • Developed and scaled backend RESTful APIs for the 0→1 Autopilot platform, supporting lead ingestion, enrichment, and routing workflows using Java, Spring Boot, Python, PostgreSQL, and AWS • Built a robust React & React Native application in TypeScript, elevating user experience standards and streamlining the development process, providing capability of A/B testing for analysis and enhancements • Architected an LLM-powered client onboarding and data-mapping platform using MCP-driven LLM workflows and schema-aware tooling to convert unstructured partner data into normalized healthcare records with deterministic validation and auditability ### Software Engineer @ Sieve Health Jan 2022 – Jan 2023 Worked in an early-stage healthcare startup building backend systems and automation workflows for clinical trial recruitment. Focused on designing reliable data pipelines, integrating AI-driven extraction, and enabling faster patient onboarding and matching for research studies. • Built backend systems from the ground up for a B2B clinical research platform using Java Spring Boot, Angular, MySQL, AWS enabling scalable workflows for patient recruitment and trial management • Designed automated patient intake and screening pipelines using AI-based data extraction, reducing manual coordination and accelerating candidate matching for clinical trials • Architected ingestion → validation → processing workflows for patient and trial data, ensuring consistent, reliable data flow across internal systems and stakeholders • Developed RESTful APIs and data models to support multi-tenant workflows across research partners, allowing flexible onboarding of new trials without system redesign ### Full Stack Developer @ mintED Jan 2022 – Jan 2022 | New Jersey, United States Worked on building a blockchain-based platform for identity verification and credential ownership, focusing on backend APIs, authentication systems, and full-stack integration. Contributed to core product workflows involving enrollment, verification, and decentralized identity management. • Built a blockchain-based enrollment platform enabling identity verification and credential ownership using Ethereum wallets and NFT-backed records • Designed and implemented a GraphQL API layer using Node.js (TypeScript) to support enrollment, verification, and credential issuance workflows, enabling flexible and efficient data access • Implemented wallet-based authentication using Ethereum signatures, reducing reliance on centralized identity providers and improving user-controlled access • Contributed to React-based frontend development, integrating GraphQL queries/mutations and building responsive UI components for seamless user interactions ### Research Assistant @ Nagpur University Jan 2021 – Jan 2021 | Remote Worked on an NLP-based cybersecurity project/research paper focused on detecting phishing emails, building end-to-end pipelines for data preprocessing, model training, and evaluation. Explored multiple machine learning approaches to improve classification accuracy and reduce false positives in real-world email datasets. • Built an NLP-based phishing detection system trained on a dataset of 34K+ emails, enabling classification of fraudulent vs legitimate content • Designed and implemented a feature extraction pipeline (text preprocessing, tokenization, vectorization) to convert raw email data into structured inputs for model training • Authored a research paper documenting methodology, experiments, and results, contributing to academic understanding of phishing detection systems ## Education ### Master of Science - MS in Computer Science Stevens Institute of Technology ### Bachelor of Engineering in Computer Science Nagpur University ## Contact & Social - LinkedIn: https://linkedin.com/in/amanpawar507 - GitHub: https://github.com/amanpawar507 --- Source: https://flows.cv/amanpawar JSON Resume: https://flows.cv/amanpawar/resume.json Last updated: 2026-03-29