Sneha Chouksey
@snehachouksey
Full Stack and GenAI engineer building production-ready SaaS applications.
What I'm looking for
I am a Full Stack and GenAI engineer who builds production-ready SaaS applications with a focus on modern web interfaces and scalable backend systems.
I specialize in the Next.js ecosystem and have deep experience architecting Retrieval-Augmented Generation (RAG) pipelines, integrating LLM APIs, and working with vector databases like Qdrant to deliver context-aware AI features.
I design asynchronous, event-driven backends using Node.js/Express.js and BullMQ (Redis) to offload heavy tasks such as video scraping and PDF parsing, ensuring responsive, zero-latency user experiences, and I deploy production systems on Vercel and Render with RBAC and persistent storage in PostgreSQL.
My projects include Acadlyst, an AI-powered academic copilot with semantic search, summarization and quiz generation, and Serene.AI, an LLM-based mental wellness companion; I bring a practical, user-focused approach to building and shipping AI-enabled products.
Experience
Work history, roles, and key accomplishments
Full Stack Engineer
Independent / Personal Projects
Built production-ready SaaS applications and GenAI products including a RAG-based academic copilot and an LLM-driven mental wellness companion, deploying end-to-end Next.js stacks with role-based access and async worker queues.
Education
Degrees, certifications, and relevant coursework
Jabalpur Engineering College
Bachelor of Technology, Computer Science & Engineering
Grade: 7.41 CGPA
Activities and societies: Participated in Smart India Hackathon and HackCrux (GDG LNMIIT) competitions; engaged in AI and web development projects.
Pursuing a Bachelor of Technology in Computer Science & Engineering with a cumulative GPA of 7.41; coursework and projects focused on full-stack development and generative AI integrations.
Availability
Location
Authorized to work in
Social media
Job categories
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