Sep 2025 – Present · 9 mos

• Contributing to the development of Vivpro’s Regulatory Intelligence Assistant (RIA) — a SaaS platform that leverages AI to accelerate regulatory research and automate compliance workflows. Working across backend, search infrastructure, and AI-driven automation to enhance scalability, accuracy, and enterprise usability.
• Architected AI-powered indication change detection system using GPT-5 with custom prompt engineering, achieving 100% clinical accuracy with zero hallucination rate and reducing manual review time by 80%.
• Built production-grade FDA document extraction pipeline leveraging GPT-5 API, Elasticsearch, and S3 that automated processing of 10,000+ regulatory documents with 95% accuracy improvement.
• Optimized Elasticsearch indexing architecture for 2M+ FDA submissions through custom mappings and aggregations, reducing query latency by 60% while maintaining sub-500ms response times.
• Delivered full-stack features for RIA platform using React/TypeScript, Redux, Material-UI, Python Flask, and PostgreSQL, shipping 5+ production features serving 500+ enterprise users.
• Resolved critical production issues including ARIA share link functionality and complex comment filtering systems, achieving 99.9% uptime for workflows processing 100,000+ regulatory records.
• Skills: Python · React · TypeScript · Flask · Elasticsearch · PostgreSQL · AWS S3 · NLP · Large Language Models (GPT-4 / GPT-5) · Retrieval-Augmented Generation (RAG) · Full-Stack Development · Data Engineering · Microservices Architecture · API Integration · Agile Development

Jun 2025 – Sep 2025 · 3 mos · New York, New York, United States · Remote

• Working on AI-driven initiatives to enhance product intelligence and enterprise automation.
• Designing proof-of-concept systems using Retrieval-Augmented Generation (RAG) to support contextual understanding in decision-making workflows.
• Exploring pattern classification and semantic tracking techniques with LLMs to evaluate feasibility for long-term integration.
• Prototyping AI agents to identify actionable tasks from transcripts of sales conversations, supporting smarter task workflows.
• Researching strategies for long-term memory retention and intent classification to drive sustained user engagement and smarter follow-ups.
• Skills: AI Development, Retrieval-Augmented Generation (RAG), Proof-of-Concept Systems, Pattern Classification, Semantic Context Tracking.

Jan 2024 – Jul 2024 · 6 mos · Bengaluru, Karnataka, India

• Contributed to building high-scale backend systems that powered e-commerce performance for global brands. Working across data engineering and platform automation, I focused on driving efficiency, reliability, and scalability in our infrastructure.
• Developed a high-throughput seed crawling platform that efficiently processed over 15 million SKUs daily, achieving a significant 40% reduction in total crawl volume through optimized algorithms.
• Built and maintained robust data pipelines for over nine major retailers, effectively addressing API rate limit challenges with advanced retry mechanisms and dynamic throttling strategies to ensure seamless operations.
• Deployed a comprehensive CI/CD pipeline with real-time monitoring for more than 600 crawlers; this initiative led to a dramatic decrease in customer-reported issues from over 70 per month to nearly zero.
• Collaborated closely with product managers and analysts to prioritize crawl coverage based on key business performance indicators, enhancing campaign effectiveness and tracking accuracy significantly.
• Skills: Backend Systems Development, Data Engineering, CI/CD Automation, API Management, Agile Methodologies

Jun 2022 – Dec 2023 · 1 yr 6 mos

• Worked as a full-stack developer on Zmanda Sentinel, a multi-tenant SaaS platform for managed service providers. I focused on improving platform scalability, security, and development efficiency across the application lifecycle.
• Led the development of core onboarding workflows for Zmanda Sentinel, achieving a 30% reduction in onboarding time across multiple tenants through streamlined customer provisioning processes.
• Implemented role-based access control (RBAC) and session token management strategies that significantly strengthened application-level security for a multi-tenant SaaS platform.
• Integrated Single Sign-On (SSO) using SAML 2.0 and OAuth 2.0 protocols to enable seamless cross-platform authentication for enterprise clients, enhancing user experience and security.
• Migrated front-end builds to Vite.js which resulted in a remarkable 70% reduction in build times while improving local development efficiency through hot-module reloading capabilities.
• Refactored unit testing strategy with Jest to increase test coverage by over 40%, enhancing continuous integration stability and overall code quality across the application lifecycle.
• Contributed to Docker-based containerization processes and deployed builds using Jenkins to improve deployment predictability and rollback safety during production releases.
• Skills: Full-Stack Development, SaaS Solutions, Security Protocols (RBAC, SSO), CI/CD Automation (Jenkins), Unit Testing (Jest), Front-End Technologies (Vite.js)

Jan 2022 – Jun 2022 · 5 mos

• I was a part of the groundwork for core components of the Zmanda Sentinel platform. I worked closely with senior engineers to design a scalable front-end architecture and improve application accessibility, localization, and performance.
• Designed and implemented a scalable frontend architecture for the Zmanda Sentinel platform using Material-UI, enhancing modularity and reusability across multiple features by 30%.
• Achieved WCAG 2.1 AA compliance by auditing UI components, resulting in an increase in accessibility scores from 60% to 84%, significantly improving user experience for diverse audiences.
• Integrated i18next for internationalization, enabling seamless language switching that expanded the platform's usability to over 10 languages for a global user base.
• Established static code analysis protocols using SonarQube during early development phases, proactively identifying code smells and reducing technical debt by approximately 25%.
• Contributed to the setup of CI workflows for UI testing that improved deployment efficiency by reducing testing time by 40%, allowing faster iterations on feature development.
• Skills: Frontend Development, Accessibility Standards (WCAG), Internationalization (i18n), Material-UI, SonarQube.

Aug 2021 – Oct 2021 · 2 mos · Bangalore Urban, Karnataka, India

• I explored core ML concepts and applied them to data-driven tasks focused on improving efficiency in classification and prediction systems. I collaborated with a small team of engineers to prototype and evaluate models that supported internal analytics workflows.
• Built and evaluated classification models using scikit-learn techniques such as Logistic Regression and Random Forests, enhancing prediction accuracy on client data by approximately 20%.
• Cleaned and preprocessed extensive structured datasets with Pandas and NumPy, implementing feature selection techniques that effectively reduced overfitting while improving model generalizability.
• Visualized model performance through error analysis with matplotlib and seaborn, enabling stakeholders to better interpret results which informed iterative model enhancements.
• Designed a basic recommendation prototype utilizing cosine similarity for effectively matching customer profiles to product clusters within the analytics framework.
• Participated in weekly model review sessions to document experiments meticulously while applying evaluation metrics like F1-score, precision/recall, and AUC to practical business-oriented tasks.
• Skills: Machine Learning, Data Analysis, Model Evaluation Techniques