Anuska Srivastava

Mentored 30+ learners in Python, machine learning, and generative AI, delivering hands-on training on data analysis, model development, prompt engineering, vector embeddings, and modern AI development tools. Guided end-to-end implementation of practical AI projects, including Breast Cancer Prediction, Eye Infection Detection using OpenCV, AI-powered content creation, and no-code AI application development using modern LLM tools.

AI Trainer (Part-time) at CQS (2025-11 – Present)

• Mentored 30+ learners in Python, machine learning, and generative AI, delivering hands-on training on data analysis, model development, prompt engineering, vector embeddings, and modern AI development tools.
• Guided end-to-end implementation of practical AI projects, including Breast Cancer Prediction, Eye Infection Detection using OpenCV, AI-powered content creation, and no-code AI application development using modern LLM tools.

AI developer Intern at Techginity (2024-09 – 2025-09)

• Reduced manual analysis effort by 60% by building client-facing AI systems using RAG pipelines, FAISS/BM25, dense retrievers, LangGraph, and CoT prompting.
• Processed 50-100 files for LLM assistants by developing document ingestion pipelines with OCR, hierarchical chunking, embeddings, and multidocument retrieval.
• Engineered 2-3 automation workflows using n8n, MCP servers, REST APIs, Telegram bots, Calendly, Slack, and Google Calendar integrations.
• Collaborated with 5–7 clients and cross-functional teams to gather requirements, manage delivery, and integrate AI systems into production workflows.

Bachelor of Science in Computer Science – Jaypee University of Information Technology (2021-09 – 2025-05)