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

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

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

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