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Jui S. — Junior AI/ML Application Developer from India

Jui S.

Junior AI/ML Application Developer

India Less than 1 year
Open to offersNew to Platform
Languages
English
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About

Jui B. is a dedicated B.Tech student at Jawaharlal Nehru Engineering College, specializing in Computer Science Engineering with a solid academic foundation bolstered by a diploma in the same field from MGM Polytechnic College. Currently, she holds an internship position at DiscoverrLabs.AI, where she focuses on AI/ML applications. Her work involves developing AI-driven enterprise solutions utilizing advanced techniques like RAG, semantic search, and LLM orchestration. She has excelled in designing knowledge-ingestion pipelines and deploying AI applications on Linux servers, leveraging technologies such as FastAPI, GitHub workflows, and Nginx. As a former TestOps Intern at QualSoft Systems, Jui honed her skills in manual and stress testing, improving QA processes. Her technical prowess spans Python, JavaScript, and C++, along with expertise in frameworks like FastAPI and React. Jui's projects reflect her competence in creating sophisticated AI solutions, such as a RAG-based enterprise assistant and an AI-powered CSV analytics assistant, highlighting her capacity for innovation and practical application of technical skills.

Experience

  • AI/ML Application Intern

    DiscoverrLabs.AI · 2026 — Present
    Leveraged RAG, vector databases, embeddings, and LLM orchestration to develop AI-powered applications tailored for enterprise use cases. Focused on designing pipelines for retrieval and knowledge ingestion utilizing SentenceTransformers, Pinecone, and semantic search techniques. Integrated MCP-based tools to allow AI agents secure interaction with backend services through standardized calling. Addressed AI system reliability, multilingual processing, model fallback strategies, and response optimization, while managing end-to-end AI application deployment and infrastructure setup on Linux servers, including Git/GitHub workflows, API integrations, and production deployment with Gunicorn and Nginx.
  • TestOps Intern

    QualSoft Systems · 2022 — 2022
    Executed manual testing to validate functionality, navigation, and UI accuracy. Conducted stress testing using Apache JMeter to evaluate performance. Developed and refined test cases to enhance QA efficiency.

Skills & Expertise

Education

  • Bachelor of Technology in Computer Science Engineering
    Jawaharlal Nehru Engineering College · 2023 — Present
  • Diploma in Computer Science
    MGM Polytechnic College · 2020 — 2023