Anjali Banthia
AI Engineer | Machine Learning | Data Engineering | LLMs & RAG Pipelines | Intelligent Agents
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About
Results-driven AI/ML Engineer with 1.5+ years of production experience designing and deploying Generative AI solutions, LLM-integrated backends, and end-to-end RAG pipelines. Skilled in OpenAI API, Gemini API, LangChain, prompt engineering, intelligent agent orchestration, AWS Bedrock, and GCP Vertex AI. Proficient in Python, FastAPI, Docker, and cloud-native data pipelines.
AWS Machine Learning Specialist and Microsoft Generative AI certified. GATE DA 2026 qualified (AIR 3863). Adept at full-cycle AI development—from research and EDA to scalable cloud deployment—in Agile/Scrum, fully remote environments.
Experience
Software Developer Intern - Emizentech Pvt Ltd - Jaipur, India
(2025-01 - 2025-06)
- Designed and deployed RESTful API backends as integration layers for AI-powered microservices and LLM data pipelines (Python, JavaScript, MySQL, Docker) within an Agile/Scrum delivery cycle.
- Architected modular, scalable backend services with zero production incidents; implemented LLM integration and AI service orchestration patterns aligned with cloud deployment standards.
- Engineered JWT-based authentication middleware; containerised services via Docker for reproducible, cloud-ready deployments; participated in sprint planning and stakeholder demos.
AI / ML Research Intern - IBM - Remote, India
(2024-06 - 2024-08)
- Built cloud-native AI data pipelines integrating neural network inference models on AWS; processed 100,000+ record medical datasets (Python, TensorFlow, REST APIs) achieving 91% F1-score on clinical classification tasks.
- Engineered advanced LLM prompt strategies for clinical NLP; performed EDA and feature engineering; implemented Generative AI for automated multi-document summarisation on distributed datasets.
- Designed and deployed ML models (PyTorch, Scikit-learn) for real-time inference via cloud REST APIs; collaborated with senior researchers and cross-functional stakeholders in a fully remote setup.
Education
B.Tech - Computer Science — AI & Machine Learning Specialisation - Jaipur National University (2021-09 - 2025-06)
