Dr. Anuja Prasad S
Generative AI, computer vision, MLOps, cloud platforms, and intelligent automation
Dr. Anuja Prasad S has 10 years of hands-on Python and AI/ML engineering and 12 years of university teaching. Her recent work covers LLM applications and RAG pipelines, computer vision, security automation, and cloud ML deployment. Her PhD research was on automatic road-traffic analysis with machine learning.
View full professional profile
Core expertise
- LLM applications, RAG pipelines, and model fine-tuning (LoRA, QLoRA, quantization)
- Vector search: Pinecone, Weaviate, pgvector, FAISS
- Computer vision: detection, classification, and segmentation
- MLOps on AWS, Azure, and GCP with Docker, Kubernetes, MLflow, and Databricks
- Security automation with Cortex XSOAR, SIEM, and SOAR
- Full-stack delivery with Django, REST APIs, and React
Professional experience
Data Scientist
Algoworks
- Builds and deploys LLM applications and RAG pipelines, and optimises inference cost with LoRA, QLoRA, and quantization.
- Develops MLOps pipelines across AWS, Azure, and GCP, and Cortex XSOAR playbooks for security-incident automation.
Senior AI Developer
Appletechsoft
- Fine-tuned BLIP, SigLIP, and CLIP models on fashion data and built image-to-text and text-to-image pipelines.
- Built Pinecone and FAISS similarity search for recommendations, with MLflow experiment tracking.
Computer Vision Engineer
Energyscape Renewables
- Developed computer-vision systems for automatic rooftop solar-panel placement, deployed on Azure Databricks.
- Built Django applications and Databricks ETL pipelines for solar-installation data.
Senior Machine Learning Engineer
Aunva Labs
- Deployed threat-detection and anomaly-detection models within Cortex XSOAR and Azure SIEM/SOAR workflows.
Project Fellow, AI-based Traffic Analysis
Rajiv Gandhi Institute of Technology
- Led a research team building real-time vehicle detection, classification, and licence-plate identification.
Lecturer, Assistant Professor, and Head of ECE
Engineering colleges in Kerala, including GISAT
Selected projects
Automatic rooftop solar-panel placement
At Energyscape Renewables
Rooftop segmentation with computer vision and visual transformers, delivered through a Django web application.
Cybersecurity threat detection
At Aunva Labs
Malware and phishing detection models integrated with SIEM and SOAR platforms, including Cortex XSOAR and Microsoft Azure.
Vehicle detection and classification from traffic video and audio
Doctoral research, Rajiv Gandhi Institute of Technology
Deep neural networks combining audio and visual cues for traffic data collection.
Education
PhD in Artificial Intelligence
A P J Abdul Kalam Technological University
ME in Applied Electronics
Noorul Islam
BTech in Electronics and Communication Engineering
Cochin University
Publications
- Anuja Prasad S, Leena Mary, and Bino I. Khoshy. Detection and Classification of Vehicles Using Audio Visual Cues. Multimedia Tools and Applications.
- Anuja Prasad S, Leena Mary, and David Solomon George. Classification of Vehicles in Heterogeneous Traffic Video Collected from a Moving Vehicle. Communication in Information and Software Technology.
- Anuja Prasad S and Leena Mary. A Comparative Study of Different Features for Vehicle Classification. 2019 IEEE International Conference on Computational Intelligence in Data Science (ICCIDS), Chennai, India, pp. 1-5.
- Joseph Jissy, Anuja Prasad S, and Leena Mary. A Study on Localization Techniques for Automatic License Plate Recognition Systems. 2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), Vol. 1, pp. 1090-1099.
