
Akshay Tayade
Full Stack Software Engineer
Talent
PuneMember since May 27, 2026
PythonReact.jsNext.jsReduxStorybookNode.jsExpress.jsFastAPISocket.ioWebSocketsRabbitMQSystem DesignOpenAI APILangChainRAGSemantic SearchEmbeddingsPostgreSQLMongoDBElasticsearchDockerLinuxBashSeleniumPostmanFAISS
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PythonReact.jsNext.jsReduxStorybook
About
Full Stack Software Engineer with 2.5+ years building scalable web applications, real-time platforms, and AI-powered features. Proficient in React.js, Next.js, Node.js, Python/FastAPI, PostgreSQL, Redis, Elasticsearch, and RabbitMQ. Hands-on with RAG pipelines, semantic/vector search, and LLM integrations. Strong full SDLC ownership — system design through deployment, observability, and iteration.
Experience
Software Engineer at Sarv.com (2024-01 – Present)
- Architected real-time collaboration features (group chat, threaded replies, reactions, read receipts) using WebSockets & Socket.io; reduced message latency by ~40% via connection pooling and optimized event broadcasting.
- Rebuilt Chat & Teams frontend architecture: code-splitting with React.lazy(), shared Storybook component library, and custom React hooks — cut initial bundle load time by ~25%, standardized UI patterns across modules, and owned the design system used by 3 product teams.
- Optimised Core Web Vitals across Chat module — reduced LCP by ~38% and eliminated layout shift (CLS ≈0) via font subsetting, image lazy-loading, and critical CSS extraction; tracked improvements through Lighthouse CI integrated into the pipeline.
- Designed AI-powered semantic document search with OpenAI embeddings, Elasticsearch kNN vector search, and a RAG retrieval pipeline — chunking, vector indexing, and re-ranking enabling natural language Q&A; over 100K+ records with sub-second latency.
- Engineered Redis caching (Pub/Sub & cache-aside) and optimized Elasticsearch pipelines — cut DB load by ~30%, search speed by ~55%, and critical API response times by 150–250ms.
- Introduced RabbitMQ async processing for notifications, email delivery, and bulk ingestion — decoupled services and reduced synchronous API response times by ~20%.
- Built FastAPI microservice for AI inference and document ingestion; migrated key services to PostgreSQL with proper schema design and indexing for relational reporting needs.
Engineer Trainee at Comviva (Tech Mahindra) (2023-08 – 2023-11)
- Validated features for international money transfer systems; built Postman API suites and Selenium automation, reducing manual test effort by ~40%.
- Authored Bash/C utilities for packet transmission and batch processing workflows on Linux environments.
Education
B.Tech in Electronics and Communication Engineering – JECRC College, Jaipur (2019-08 – 2023-05)
Skills
Full Stack Software Engineer

