Go to customer B2B Enterprise SaaS platform. Utilizing AWS cloud native Serverless and Python, React stack. Product-1: Opportunities Skills: Information retrieval, RAG, Langchain, LLM, Chat GPT, llamaindex, Semantic Search, FastAPI, Python, AWS.Application for finding business leads (needle in haystack) from company filings, reports, announcements, news feeds and user uploaded pdf files- Data Load Pipeline: Designed and developed pipeline to process unstructured data from multiple sources in real time.- Data Preprocessing Pipeline: Productionizing the Data Science ingestion code from multi step NLP pipeline to extract, clean, preprocess, vectorization (embeddings) the text data from pdf files.- Retrieval Pipeline: High-performance retrieval service to run real-time and scheduled searches. - Productionize logic of hybrid search (Semantic + Keywords) for better precision.Product-2: Account360 Go to customer platform for B2B organizations to protect, retain, and grow large accounts.- Project Management: Led design and implementation of Enterprise B2B SaaS platform from scratch, leveraging AWS - Serverless architecture and EKS for scalability.- Strategy and Decision Making: Drove strategic and tactical decision-making in technology, processes, and team management, for improving efficiency and output. - Architecture and Design: Defined scalable architecture, API specs, database design, standard guidelines, and tracked deliverable progress. - Process Optimization: Identified and addressed knowledge, tool, and process gaps to ensure highest quality and on-time delivery.- Team Building: Built high-performing teams and contributed to core backend components, resulting in project success.- Successful product implementation resulted in converting MVP into an enterprise product, onboarding 7 Fortune companies as licensed customers.- Grown client account size to 4X in 3 years, generating an additional $1 million in annual revenue.

Product-1 : Product Recommendation engine for digital content platform.Skills: MLE, NLP, Pandas, Gensim, Python, Django, Elastic Search.- Summary Generation: Developed a multi step NLP pipeline to extract, clean, preprocess and generate content summaries, increasing product visibility in user searches by 70%.- Document Tagging: Created an NLP-based tags detection algorithm, significantly boosting document visibility.- Product Recommendation: Implemented a recommendation engine using user and product data matchingProduct-2: Digital Content e-commerce platformSkills: Python, Django, DRF, Elastic Search, Redis, Celery, RabbitMQ, MySQL, REST-API, Pytest, A/B Testing, Payment Gateway Integration, Redshift.Developed a digital content platform, and integrated Payment gateways for a US based Edtech startup. used by ~90 million users and ~1 million weekly active users.- Product Lifecycle: Implemented REST APIs for product lifecycle including media content upload.- Moderation workflow: Designed and implemented content moderation flow for product review before publishing.- Payment Gateway Integration: Integrated PayPal and Stripe payment gateways.- Logging and Monitoring: Implemented logging and monitoring framework for end-to-end product life cycle, moderation, and payments. - Reporting: Developed user activity tracking framework and product consumption reports for stakeholders.- Database Design: - A/B Tests: Collaborated with Product Management to implement data-driven feature strategy using A/B tests.

Product: Aerospike (NoSQL Database).- Implemented Jenkins based CI/CD pipeline for NoSQL database connectors builds.- Engineered dockerfiles to test NoSQL DB connector libraries against various OS and programming language versions e.g. https://github.com/PavanGupta01/devops/blob/master/docker/aerospike/c16_py_core- Contributed to the backend for a web-based cluster monitoring system for NoSQL DB.

Role: Senior Software Engineer (2 Years)Product: QuickOffice (Google product) QuickOffice is Google’s product that allows users to edit Word, Excel, and presentation files offline in Chrome.- Set up CI pipeline with Bamboo, Jenkins, Ansible, and Docker, reducing build shipping time by 40%.- Developed and maintained test automation frameworks.- Engineered a web-based tool to automate build testing.

Product: E-Commerce Platform (used by ~50 mn users)- Designed test automation framework and end-to-end scenarios, reducing manual testing efforts by 70%.- Developed QC and JIRA synchronization tools, saving ~30 hours of monthly manpower.- Clustered and identified requirements from SRS documents.- Prepared and executed test plans based on software requirements.